changeset 1:193389d3a5f0 draft

"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/chemicaltoolbox/rdkit commit 20df7e562341cd30e89a14d6bde9054956fadc06"
author bgruening
date Tue, 10 Mar 2020 12:57:48 -0400
parents 06828e0cc8a7
children 40ff81f67f5e
files dimorphite_dl.py site_substructures.smarts test-data/mols.smi
diffstat 3 files changed, 1126 insertions(+), 0 deletions(-) [+]
line wrap: on
line diff
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/dimorphite_dl.py	Tue Mar 10 12:57:48 2020 -0400
@@ -0,0 +1,1084 @@
+# Copyright 2018 Jacob D. Durrant
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""
+This script identifies and enumerates the possible protonation sites of SMILES
+strings.
+"""
+
+from __future__ import print_function
+import copy
+import os
+import argparse
+import sys
+
+try:
+    # Python2
+    from StringIO import StringIO
+except ImportError:
+    # Python3
+    from io import StringIO
+
+# Always let the user know a help file is available.
+print("\nFor help, use: python dimorphite_dl.py --help")
+
+# And always report citation information.
+print("\nIf you use Dimorphite-DL in your research, please cite:")
+print("Ropp PJ, Kaminsky JC, Yablonski S, Durrant JD (2019) Dimorphite-DL: An")
+print("open-source program for enumerating the ionization states of drug-like small")
+print("molecules. J Cheminform 11:14. doi:10.1186/s13321-019-0336-9.\n")
+
+try:
+    import rdkit
+    from rdkit import Chem
+    from rdkit.Chem import AllChem
+except:
+    msg = "Dimorphite-DL requires RDKit. See https://www.rdkit.org/"
+    print(msg)
+    raise Exception(msg)
+
+def main(params=None):
+    """The main definition run when you call the script from the commandline.
+
+    :param params: The parameters to use. Entirely optional. If absent,
+                   defaults to None, in which case argments will be taken from
+                   those given at the command line.
+    :param params: dict, optional
+    :return: Returns a list of the SMILES strings return_as_list parameter is
+             True. Otherwise, returns None.
+    """
+
+    parser = ArgParseFuncs.get_args()
+    args = vars(parser.parse_args())
+
+    # Add in any parameters in params.
+    if params is not None:
+        for k, v in params.items():
+            args[k] = v
+
+    # If being run from the command line, print out all parameters.
+    if __name__ == "__main__":
+        print("\nPARAMETERS:\n")
+        for k in sorted(args.keys()):
+            print(k.rjust(13) + ": " + str(args[k]))
+        print("")
+
+    if args["test"]:
+        # Run tests.
+        TestFuncs.test()
+    else:
+        # Run protonation
+        if "output_file" in args and args["output_file"] is not None:
+            # An output file was specified, so write to that.
+            with open(args["output_file"], "w") as file:
+                for protonated_smi in Protonate(args):
+                    file.write(protonated_smi + "\n")
+        elif "return_as_list" in args and args["return_as_list"] == True:
+            return list(Protonate(args))
+        else:
+            # No output file specified. Just print it to the screen.
+            for protonated_smi in Protonate(args):
+                print(protonated_smi)
+
+class MyParser(argparse.ArgumentParser):
+    """Overwrite default parse so it displays help file on error. See
+    https://stackoverflow.com/questions/4042452/display-help-message-with-python-argparse-when-script-is-called-without-any-argu"""
+
+    def error(self, message):
+        """Overwrites the default error message.
+
+        :param message: The default error message.
+        """
+
+        self.print_help()
+        msg = "ERROR: %s\n\n" % message
+        print(msg)
+        raise Exception(msg)
+
+    def print_help(self, file=None):
+        """Overwrite the default print_help function
+
+        :param file: Output file, defaults to None
+        """
+
+        print("")
+
+        if file is None:
+            file = sys.stdout
+        self._print_message(self.format_help(), file)
+        print("""
+examples:
+  python dimorphite_dl.py --smiles_file sample_molecules.smi
+  python dimorphite_dl.py --smiles "CCC(=O)O" --min_ph -3.0 --max_ph -2.0
+  python dimorphite_dl.py --smiles "CCCN" --min_ph -3.0 --max_ph -2.0 --output_file output.smi
+  python dimorphite_dl.py --smiles_file sample_molecules.smi --pka_precision 2.0 --label_states
+  python dimorphite_dl.py --test""")
+        print("")
+
+class ArgParseFuncs:
+    """A namespace for storing functions that are useful for processing
+    command-line arguments. To keep things organized."""
+
+    @staticmethod
+    def get_args():
+        """Gets the arguments from the command line.
+
+        :return: A parser object.
+        """
+
+        parser = MyParser(description="Dimorphite 1.2: Creates models of " +
+                                    "appropriately protonated small moleucles. " +
+                                    "Apache 2.0 License. Copyright 2018 Jacob D. " +
+                                    "Durrant.")
+        parser.add_argument('--min_ph', metavar='MIN', type=float, default=6.4,
+                            help='minimum pH to consider (default: 6.4)')
+        parser.add_argument('--max_ph', metavar='MAX', type=float, default=8.4,
+                            help='maximum pH to consider (default: 8.4)')
+        parser.add_argument('--pka_precision', metavar='PRE', type=float, default=1.0,
+                            help='pKa precision factor (number of standard devations, default: 1.0)')
+        parser.add_argument('--smiles', metavar='SMI', type=str,
+                            help='SMILES string to protonate')
+        parser.add_argument('--smiles_file', metavar="FILE", type=str,
+                            help='file that contains SMILES strings to protonate')
+        parser.add_argument('--output_file', metavar="FILE", type=str,
+                            help='output file to write protonated SMILES (optional)')
+        parser.add_argument('--label_states', action="store_true",
+                            help='label protonated SMILES with target state ' + \
+                                '(i.e., "DEPROTONATED", "PROTONATED", or "BOTH").')
+        parser.add_argument('--test', action="store_true",
+                            help='run unit tests (for debugging)')
+
+        return parser
+
+    @staticmethod
+    def clean_args(args):
+        """Cleans and normalizes input parameters
+
+        :param args: A dictionary containing the arguments.
+        :type args: dict
+        :raises Exception: No SMILES in params.
+        """
+
+        defaults = {'min_ph' : 6.4,
+                    'max_ph' : 8.4,
+                    'pka_precision' : 1.0,
+                    'label_states' : False,
+                    'test' : False}
+
+        for key in defaults:
+            if key not in args:
+                args[key] = defaults[key]
+
+        keys = list(args.keys())
+        for key in keys:
+            if args[key] is None:
+                del args[key]
+
+        if not "smiles" in args and not "smiles_file" in args:
+            msg = "Error: No SMILES in params. Use the -h parameter for help."
+            print(msg)
+            raise Exception(msg)
+
+        # If the user provides a smiles string, turn it into a file-like StringIO
+        # object.
+        if "smiles" in args:
+            if isinstance(args["smiles"], str):
+                args["smiles_file"]  = StringIO(args["smiles"])
+
+        args["smiles_and_data"] = LoadSMIFile(args["smiles_file"])
+
+        return args
+
+class UtilFuncs:
+    """A namespace to store functions for manipulating mol objects. To keep
+    things organized."""
+
+    @staticmethod
+    def neutralize_mol(mol):
+        """All molecules should be neuralized to the extent possible. The user
+        should not be allowed to specify the valence of the atoms in most cases.
+
+        :param rdkit.Chem.rdchem.Mol mol: The rdkit Mol objet to be neutralized.
+        :return: The neutralized Mol object.
+        """
+
+        # Get the reaction data
+        rxn_data = [
+            ['[Ov1-1:1]', '[Ov2+0:1]-[H]'],  # To handle O- bonded to only one atom (add hydrogen).
+            ['[#7v4+1:1]-[H]', '[#7v3+0:1]'],  # To handle N+ bonded to a hydrogen (remove hydrogen).
+            ['[Ov2-:1]', '[Ov2+0:1]'],  # To handle O- bonded to two atoms. Should not be Negative.
+            ['[#7v3+1:1]', '[#7v3+0:1]'],  # To handle N+ bonded to three atoms. Should not be positive.
+            ['[#7v2-1:1]', '[#7+0:1]-[H]'],  # To handle N- Bonded to two atoms. Add hydrogen.
+            # ['[N:1]=[N+0:2]=[N:3]-[H]', '[N:1]=[N+1:2]=[N+0:3]-[H]'],  # To
+            # handle bad azide. Must be protonated. (Now handled elsewhere, before
+            # SMILES converted to Mol object.)
+            ['[H]-[N:1]-[N:2]#[N:3]', '[N:1]=[N+1:2]=[N:3]-[H]']  # To handle bad azide. R-N-N#N should be R-N=[N+]=N
+        ]
+
+        # Add substructures and reactions (initially none)
+        for i, rxn_datum in enumerate(rxn_data):
+            rxn_data[i].append(Chem.MolFromSmarts(rxn_datum[0]))
+            rxn_data[i].append(None)
+
+        # Add hydrogens (respects valence, so incomplete).
+        # Chem.calcImplicitValence(mol)
+        mol.UpdatePropertyCache(strict=False)
+        mol = Chem.AddHs(mol)
+
+        while True:  # Keep going until all these issues have been resolved.
+            current_rxn = None  # The reaction to perform.
+            current_rxn_str = None
+
+            for i, rxn_datum in enumerate(rxn_data):
+                reactant_smarts, product_smarts, substruct_match_mol, rxn_placeholder = rxn_datum
+                if mol.HasSubstructMatch(substruct_match_mol):
+                    if rxn_placeholder is None:
+                        current_rxn_str = reactant_smarts + '>>' + product_smarts
+                        current_rxn = AllChem.ReactionFromSmarts(current_rxn_str)
+                        rxn_data[i][3] = current_rxn  # Update the placeholder.
+                    else:
+                        current_rxn = rxn_data[i][3]
+                    break
+
+            # Perform the reaction if necessary
+            if current_rxn is None:  # No reaction left, so break out of while loop.
+                break
+            else:
+                mol = current_rxn.RunReactants((mol,))[0][0]
+                mol.UpdatePropertyCache(strict=False)  # Update valences
+
+        # The mols have been altered from the reactions described above, we need
+        # to resanitize them. Make sure aromatic rings are shown as such This
+        # catches all RDKit Errors. without the catchError and sanitizeOps the
+        # Chem.SanitizeMol can crash the program.
+        sanitize_string =  Chem.SanitizeMol(
+            mol,
+            sanitizeOps=rdkit.Chem.rdmolops.SanitizeFlags.SANITIZE_ALL,
+            catchErrors = True
+        )
+
+        return mol if sanitize_string.name == "SANITIZE_NONE" else None
+
+    @staticmethod
+    def convert_smiles_str_to_mol(smiles_str):
+        """Given a SMILES string, check that it is actually a string and not a
+        None. Then try to convert it to an RDKit Mol Object.
+
+        :param string smiles_str: The SMILES string.
+        :return: A rdkit.Chem.rdchem.Mol object, or None if it is the wrong type or
+            if it fails to convert to a Mol Obj
+        """
+
+        # Check that there are no type errors, ie Nones or non-string
+        # A non-string type will cause RDKit to hard crash
+        if smiles_str is None or type(smiles_str) is not str:
+            return None
+
+        # Try to fix azides here. They are just tricky to deal with.
+        smiles_str = smiles_str.replace("N=N=N", "N=[N+]=N")
+        smiles_str = smiles_str.replace("NN#N", "N=[N+]=N")
+
+        # Now convert to a mol object. Note the trick that is necessary to
+        # capture RDKit error/warning messages. See
+        # https://stackoverflow.com/questions/24277488/in-python-how-to-capture-the-stdout-from-a-c-shared-library-to-a-variable
+        stderr_fileno = sys.stderr.fileno()
+        stderr_save = os.dup(stderr_fileno)
+        stderr_pipe = os.pipe()
+        os.dup2(stderr_pipe[1], stderr_fileno)
+        os.close(stderr_pipe[1])
+
+        mol = Chem.MolFromSmiles(smiles_str)
+
+        os.close(stderr_fileno)
+        os.close(stderr_pipe[0])
+        os.dup2(stderr_save, stderr_fileno)
+        os.close(stderr_save)
+
+        # Check that there are None type errors Chem.MolFromSmiles has sanitize on
+        # which means if there is even a small error in the SMILES (kekulize,
+        # nitrogen charge...) then mol=None. ie.
+        # Chem.MolFromSmiles("C[N]=[N]=[N]") = None this is an example of an
+        # nitrogen charge error. It is cased in a try statement to be overly
+        # cautious.
+
+        return None if mol is None else mol
+
+    @staticmethod
+    def eprint(*args, **kwargs):
+        """Error messages should be printed to STDERR. See
+        https://stackoverflow.com/questions/5574702/how-to-print-to-stderr-in-python"""
+
+        print(*args, file=sys.stderr, **kwargs)
+
+class LoadSMIFile(object):
+    """A generator class for loading in the SMILES strings from a file, one at
+    a time."""
+
+    def __init__(self, filename):
+        """Initializes this class.
+
+        :param filename: The filename or file object (i.e., StringIO).
+        :type filename: str or StringIO
+        """
+
+        if type(filename) is str:
+            # It's a filename
+            self.f = open(filename, "r")
+        else:
+            # It's a file object (i.e., StringIO)
+            self.f = filename
+
+    def __iter__(self):
+        """Returns this generator object.
+
+        :return: This generator object.
+        :rtype: LoadSMIFile
+        """
+
+        return self
+
+    def __next__(self):
+        """Ensure Python3 compatibility.
+
+        :return: A dict, where the "smiles" key contains the canonical SMILES
+                 string and the "data" key contains the remaining information
+                 (e.g., the molecule name).
+        :rtype: dict
+        """
+
+        return self.next()
+
+    def next(self):
+        """Get the data associated with the next line.
+
+        :raises StopIteration: If there are no more lines left iin the file.
+        :return: A dict, where the "smiles" key contains the canonical SMILES
+                 string and the "data" key contains the remaining information
+                 (e.g., the molecule name).
+        :rtype: dict
+        """
+
+        line = self.f.readline()
+
+        if line == "":
+            # EOF
+            self.f.close()
+            raise StopIteration()
+            return
+
+        # Divide line into smi and data
+        splits = line.split()
+        if len(splits) != 0:
+            # Generate mol object
+            smiles_str = splits[0]
+
+            # Convert from SMILES string to RDKIT Mol. This series of tests is
+            # to make sure the SMILES string is properly formed and to get it
+            # into a canonical form. Filter if failed.
+            mol = UtilFuncs.convert_smiles_str_to_mol(smiles_str)
+            if mol is None:
+                UtilFuncs.eprint("WARNING: Skipping poorly formed SMILES string: " + line)
+                return self.next()
+
+            # Handle nuetralizing the molecules. Filter if failed.
+            mol = UtilFuncs.neutralize_mol(mol)
+            if mol is None:
+                UtilFuncs.eprint("WARNING: Skipping poorly formed SMILES string: " + line)
+                return self.next()
+
+            # Remove the hydrogens.
+            try:
+                mol = Chem.RemoveHs(mol)
+            except:
+                UtilFuncs.eprint("WARNING: Skipping poorly formed SMILES string: " + line)
+                return self.next()
+
+            if mol is None:
+                UtilFuncs.eprint("WARNING: Skipping poorly formed SMILES string: " + line)
+                return self.next()
+
+            # Regenerate the smiles string (to standardize).
+            new_mol_string = Chem.MolToSmiles(mol, isomericSmiles=True)
+
+            return {
+                "smiles": new_mol_string,
+                "data": splits[1:]
+            }
+        else:
+            # Blank line? Go to next one.
+            return self.next()
+
+class Protonate(object):
+    """A generator class for protonating SMILES strings, one at a time."""
+
+    def __init__(self, args):
+        """Initialize the generator.
+
+        :param args: A dictionary containing the arguments.
+        :type args: dict
+        """
+
+        # Make the args an object variable variable.
+        self.args = args
+
+        # A list to store the protonated SMILES strings associated with a
+        # single input model.
+        self.cur_prot_SMI = []
+
+        # Clean and normalize the args
+        self.args = ArgParseFuncs.clean_args(args)
+
+        # Load the substructures that can be protonated.
+        self.subs = ProtSubstructFuncs.load_protonation_substructs_calc_state_for_ph(
+            self.args["min_ph"], self.args["max_ph"], self.args["pka_precision"]
+        )
+
+    def __iter__(self):
+        """Returns this generator object.
+
+        :return: This generator object.
+        :rtype: Protonate
+        """
+
+        return self
+
+    def __next__(self):
+        """Ensure Python3 compatibility.
+
+        :return: A dict, where the "smiles" key contains the canonical SMILES
+                 string and the "data" key contains the remaining information
+                 (e.g., the molecule name).
+        :rtype: dict
+        """
+
+        return self.next()
+
+    def next(self):
+        """Get the next protonated SMILES string.
+
+        :raises StopIteration: If there are no more lines left iin the file.
+        :return: TODO A dict, where the "smiles" key contains the canonical SMILES
+                 string and the "data" key contains the remaining information
+                 (e.g., the molecule name).
+        :rtype: dict
+        """
+
+        # If there are any SMILES strings in self.cur_prot_SMI, just return
+        # the first one and update the list to include only the remaining.
+        if len(self.cur_prot_SMI) > 0:
+            first, self.cur_prot_SMI = self.cur_prot_SMI[0], self.cur_prot_SMI[1:]
+            return first
+
+        # self.cur_prot_SMI is empty, so try to add more to it.
+
+        # Get the next SMILES string from the input file.
+        try:
+            smile_and_datum = self.args["smiles_and_data"].next()
+        except StopIteration:
+            # There are no more input smiles strings...
+            raise StopIteration()
+
+        smi = smile_and_datum["smiles"]
+        data = smile_and_datum["data"]  # Everything on SMILES line but the
+                                        # SMILES string itself (e.g., the
+                                        # molecule name).
+
+        # Collect the data associated with this smiles (e.g., the molecule
+        # name).
+        tag = " ".join(data)
+
+        # sites is a list of (atom index, "PROTONATED|DEPROTONATED|BOTH").
+        # Note that the second entry indicates what state the site SHOULD be
+        # in (not the one it IS in per the SMILES string). It's calculated
+        # based on the probablistic distributions obtained during training.
+        sites = ProtSubstructFuncs.get_prot_sites_and_target_states(smi, self.subs)
+
+        new_smis = [smi]
+        for site in sites:
+            # Make a new smiles with the correct protonation state. Note that
+            # new_smis is a growing list. This is how multiple protonation
+            # sites are handled.
+
+            # new_smis_to_perhaps_add = ProtSubstructFuncs.protonate_site(new_smis, site)
+            new_smis = ProtSubstructFuncs.protonate_site(new_smis, site)
+            # print(site, new_smis)  # Good for debugging.
+
+            # Only add new smiles if not already in the list.
+            # for s in new_smis_to_perhaps_add:
+                # if not s in new_smis:
+                    # new_smis.append(s)
+
+        # In some cases, the script might generate redundant molecules.
+        # Phosphonates, when the pH is between the two pKa values and the
+        # stdev value is big enough, for example, will generate two identical
+        # BOTH states. Let's remove this redundancy.
+        new_smis = list(set(new_smis))
+
+        # Deprotonating protonated aromatic nitrogen gives [nH-]. Change this
+        # to [n-]. This is a hack.
+        new_smis = [s.replace("[nH-]", "[n-]") for s in new_smis]
+
+        # Sometimes Dimorphite-DL generates molecules that aren't actually
+        # possible. Simply convert these to mol objects to eliminate the bad
+        # ones (that are None).
+        new_smis = [s for s in new_smis if UtilFuncs.convert_smiles_str_to_mol(s) is not None]
+
+        # If there are no smi left, return the input one at the very least.
+        # All generated forms have apparently been judged
+        # inappropriate/mal-formed.
+        if len(new_smis) == 0:
+            new_smis = [smi]
+
+        # If the user wants to see the target states, add those
+        # to the ends of each line.
+        if self.args["label_states"]:
+            states = '\t'.join([x[1] for x in sites])
+            new_lines = [x + "\t" + tag + "\t" + states for x in new_smis]
+        else:
+            new_lines = [x + "\t" + tag for x in new_smis]
+
+        self.cur_prot_SMI = new_lines
+
+        return self.next()
+
+class ProtSubstructFuncs:
+    """A namespace to store functions for loading the substructures that can
+    be protonated. To keep things organized."""
+
+    @staticmethod
+    def load_protonation_substructs_calc_state_for_ph(min_ph=6.4, max_ph=8.4, pka_std_range=1):
+        """A pre-calculated list of R-groups with protonation sites, with their
+        likely pKa bins.
+
+        :param float min_ph:  The lower bound on the pH range, defaults to 6.4.
+        :param float max_ph:  The upper bound on the pH range, defaults to 8.4.
+        :param pka_std_range: Basically the precision (stdev from predicted pKa to
+                            consider), defaults to 1.
+        :return: A dict of the protonation substructions for the specified pH
+                range.
+        """
+
+        subs = []
+        pwd = os.path.dirname(os.path.realpath(__file__))
+
+        site_structures_file = "{}/{}".format(pwd, "site_substructures.smarts")
+        with open(site_structures_file, 'r') as substruct:
+            for line in substruct:
+                line = line.strip()
+                sub = {}
+                if line is not "":
+                    splits = line.split()
+                    sub["name"] = splits[0]
+                    sub["smart"] = splits[1]
+                    sub["mol"] = Chem.MolFromSmarts(sub["smart"])
+
+                    # NEED TO DIVIDE THIS BY 3s
+                    pka_ranges = [splits[i:i+3] for i in range(2, len(splits)-1, 3)]
+
+                    prot = []
+                    for pka_range in pka_ranges:
+                        site = pka_range[0]
+                        std = float(pka_range[2]) * pka_std_range
+                        mean = float(pka_range[1])
+                        protonation_state = ProtSubstructFuncs.define_protonation_state(
+                            mean, std, min_ph, max_ph
+                        )
+
+                        prot.append([site, protonation_state])
+
+                    sub["prot_states_for_pH"] = prot
+                    subs.append(sub)
+        return subs
+
+    @staticmethod
+    def define_protonation_state(mean, std, min_ph, max_ph):
+        """Updates the substructure definitions to include the protonation state
+        based on the user-given pH range. The size of the pKa range is also based
+        on the number of standard deviations to be considered by the user param.
+
+        :param float mean:   The mean pKa.
+        :param float std:    The precision (stdev).
+        :param float min_ph: The min pH of the range.
+        :param float max_ph: The max pH of the range.
+        :return: A string describing the protonation state.
+        """
+
+        min_pka = mean - std
+        max_pka = mean + std
+
+        # This needs to be reassigned, and 'ERROR' should never make it past the
+        # next set of checks.
+        if min_pka <= max_ph and min_ph <= max_pka:
+            protonation_state = 'BOTH'
+        elif mean > max_ph:
+            protonation_state = 'PROTONATED'
+        else:
+            protonation_state = 'DEPROTONATED'
+
+        return protonation_state
+
+    @staticmethod
+    def get_prot_sites_and_target_states(smi, subs):
+        """For a single molecule, find all possible matches in the protonation
+        R-group list, subs. Items that are higher on the list will be matched
+        first, to the exclusion of later items.
+
+        :param string smi: A SMILES string.
+        :param list subs: Substructure information.
+        :return: A list of protonation sites and their pKa bin. ('PROTONATED',
+            'BOTH', or  'DEPROTONATED')
+        """
+
+        # Convert the Smiles string (smi) to an RDKit Mol Obj
+        mol = UtilFuncs.convert_smiles_str_to_mol(smi)
+
+        # Check Conversion worked
+        if mol is None:
+            UtilFuncs.eprint("ERROR:   ", smi)
+            return []
+
+        # Try to Add hydrogens. if failed return []
+        try:
+            mol =  Chem.AddHs(mol)
+        except:
+            UtilFuncs.eprint("ERROR:   ", smi)
+            return []
+
+        # Check adding Hs worked
+        if mol is None:
+            UtilFuncs.eprint("ERROR:   ", smi)
+            return []
+
+        ProtectUnprotectFuncs.unprotect_molecule(mol)
+        protonation_sites = []
+
+        for item in subs:
+            smart = item["mol"]
+            if mol.HasSubstructMatch(smart):
+                matches = ProtectUnprotectFuncs.get_unprotected_matches(mol, smart)
+                prot = item["prot_states_for_pH"]
+                for match in matches:
+                    # We want to move the site from being relative to the
+                    # substructure, to the index on the main molecule.
+                    for site in prot:
+                        proton = int(site[0])
+                        category = site[1]
+                        new_site = (match[proton], category, item["name"])
+
+                        if not new_site in protonation_sites:
+                            # Because sites must be unique.
+                            protonation_sites.append(new_site)
+
+                    ProtectUnprotectFuncs.protect_molecule(mol, match)
+
+        return protonation_sites
+
+    @staticmethod
+    def protonate_site(smis, site):
+        """Given a list of SMILES strings, we protonate the site.
+
+        :param list smis:  The list of SMILES strings.
+        :param tuple site: Information about the protonation site.
+                        (idx, target_prot_state, prot_site_name)
+        :return: A list of the appropriately protonated SMILES.
+        """
+
+        # Decouple the atom index and its target protonation state from the site
+        # tuple
+        idx, target_prot_state, prot_site_name = site
+
+        # Initialize the output list
+        output_smis = []
+
+        state_to_charge = {"DEPROTONATED": [-1],
+                        "PROTONATED": [0],
+                        "BOTH": [-1, 0]}
+
+        charges = state_to_charge[target_prot_state]
+
+        # Now make the actual smiles match the target protonation state.
+        output_smis = ProtSubstructFuncs.set_protonation_charge(smis, idx, charges, prot_site_name)
+
+        return output_smis
+
+    @staticmethod
+    def set_protonation_charge(smis, idx, charges, prot_site_name):
+        """Sets the atomic charge on a particular site for a set of SMILES.
+
+        :param list smis:             A list of the SMILES strings.
+        :param int idx:               The index of the atom to consider.
+        :param list charges:          A list of the charges (ints) to assign at
+                                    this site.
+        :param string prot_site_name: The name of the protonation site.
+        :return: A list of the processed SMILES strings.
+        """
+
+        # Sets up the output list and the Nitrogen charge
+        output = []
+
+        for charge in charges:
+            # The charge for Nitrogens is 1 higher than others (i.e., protonated
+            # state is positively charged).
+            nitro_charge = charge + 1
+
+            # But there are a few nitrogen moieties where the acidic group is the
+            # neutral one. Amides are a good example. I gave some thought re. how
+            # to best flag these. I decided that those nitrogen-containing
+            # moieties where the acidic group is neutral (rather than positively
+            # charged) will have "*" in the name.
+            if "*" in prot_site_name:
+                nitro_charge = nitro_charge - 1  # Undo what was done previously.
+
+            for smi in smis:
+
+                # Convert smilesstring (smi) into a RDKit Mol
+                mol = UtilFuncs.convert_smiles_str_to_mol(smi)
+
+                # Check that the conversion worked, skip if it fails
+                if mol is None:
+                    continue
+
+                atom = mol.GetAtomWithIdx(idx)
+
+                # Assign the protonation charge, with special care for Nitrogens
+                element = atom.GetAtomicNum()
+                if element == 7:
+                    atom.SetFormalCharge(nitro_charge)
+                else:
+                    atom.SetFormalCharge(charge)
+
+                # Convert back to SMILE and add to output
+                out_smile = Chem.MolToSmiles(mol, isomericSmiles=True,canonical=True)
+                output.append(out_smile)
+
+        return output
+
+class ProtectUnprotectFuncs:
+    """A namespace for storing functions that are useful for protecting and
+    unprotecting molecules. To keep things organized. We need to identify and
+    mark groups that have been matched with a substructure."""
+
+    @staticmethod
+    def unprotect_molecule(mol):
+        """Sets the protected property on all atoms to 0. This also creates the
+        property for new molecules.
+
+        :param rdkit.Chem.rdchem.Mol mol: The rdkit Mol object.
+        :type mol: The rdkit Mol object with atoms unprotected.
+        """
+
+        for atom in mol.GetAtoms():
+            atom.SetProp('_protected', '0')
+
+    @staticmethod
+    def protect_molecule(mol, match):
+        """Given a 'match', a list of molecules idx's, we set the protected status
+        of each atom to 1. This will prevent any matches using that atom in the
+        future.
+
+        :param rdkit.Chem.rdchem.Mol mol: The rdkit Mol object to protect.
+        :param list match: A list of molecule idx's.
+        """
+
+        for idx in match:
+            atom = mol.GetAtomWithIdx(idx)
+            atom.SetProp('_protected', '1')
+
+    @staticmethod
+    def get_unprotected_matches(mol, substruct):
+        """Finds substructure matches with atoms that have not been protected.
+        Returns list of matches, each match a list of atom idxs.
+
+        :param rdkit.Chem.rdchem.Mol mol: The Mol object to consider.
+        :param string substruct: The SMARTS string of the substructure ot match.
+        :return: A list of the matches. Each match is itself a list of atom idxs.
+        """
+
+        matches = mol.GetSubstructMatches(substruct)
+        unprotected_matches = []
+        for match in matches:
+            if ProtectUnprotectFuncs.is_match_unprotected(mol, match):
+                unprotected_matches.append(match)
+        return unprotected_matches
+
+    @staticmethod
+    def is_match_unprotected(mol, match):
+        """Checks a molecule to see if the substructure match contains any
+        protected atoms.
+
+        :param rdkit.Chem.rdchem.Mol mol: The Mol object to check.
+        :param list match: The match to check.
+        :return: A boolean, whether the match is present or not.
+        """
+
+        for idx in match:
+            atom = mol.GetAtomWithIdx(idx)
+            protected = atom.GetProp("_protected")
+            if protected == "1":
+                return False
+        return True
+
+class TestFuncs:
+    """A namespace for storing functions that perform tests on the code. To
+    keep things organized."""
+
+    @staticmethod
+    def test():
+        """Tests all the 38 groups."""
+
+        smis = [
+            # [input smiles, pka, protonated, deprotonated, category]
+            ["C#CCO",                  "C#CCO",                     "C#CC[O-]",                 "Alcohol"],
+            ["C(=O)N",                 "NC=O",                      "[NH-]C=O",                 "Amide"],
+            ["CC(=O)NOC(C)=O",         "CC(=O)NOC(C)=O",            "CC(=O)[N-]OC(C)=O",        "Amide_electronegative"],
+            ["COC(=N)N",               "COC(N)=[NH2+]",             "COC(=N)N",                 "AmidineGuanidine2"],
+            ["Brc1ccc(C2NCCS2)cc1",    "Brc1ccc(C2[NH2+]CCS2)cc1",  "Brc1ccc(C2NCCS2)cc1",      "Amines_primary_secondary_tertiary"],
+            ["CC(=O)[n+]1ccc(N)cc1",   "CC(=O)[n+]1ccc([NH3+])cc1", "CC(=O)[n+]1ccc(N)cc1",     "Anilines_primary"],
+            ["CCNc1ccccc1",            "CC[NH2+]c1ccccc1",          "CCNc1ccccc1",              "Anilines_secondary"],
+            ["Cc1ccccc1N(C)C",         "Cc1ccccc1[NH+](C)C",        "Cc1ccccc1N(C)C",           "Anilines_tertiary"],
+            ["BrC1=CC2=C(C=C1)NC=C2",  "Brc1ccc2[nH]ccc2c1",        "Brc1ccc2[n-]ccc2c1",       "Indole_pyrrole"],
+            ["O=c1cc[nH]cc1",          "O=c1cc[nH]cc1",             "O=c1cc[n-]cc1",            "Aromatic_nitrogen_protonated"],
+            ["C-N=[N+]=[N@H]",         "CN=[N+]=N",                 "CN=[N+]=[N-]",             "Azide"],
+            ["BrC(C(O)=O)CBr",         "O=C(O)C(Br)CBr",            "O=C([O-])C(Br)CBr",        "Carboxyl"],
+            ["NC(NN=O)=N",             "NC(=[NH2+])NN=O",           "N=C(N)NN=O",               "AmidineGuanidine1"],
+            ["C(F)(F)(F)C(=O)NC(=O)C", "CC(=O)NC(=O)C(F)(F)F",      "CC(=O)[N-]C(=O)C(F)(F)F",  "Imide"],
+            ["O=C(C)NC(C)=O",          "CC(=O)NC(C)=O",             "CC(=O)[N-]C(C)=O",         "Imide2"],
+            ["CC(C)(C)C(N(C)O)=O",     "CN(O)C(=O)C(C)(C)C",        "CN([O-])C(=O)C(C)(C)C",    "N-hydroxyamide"],
+            ["C[N+](O)=O",             "C[N+](=O)O",                "C[N+](=O)[O-]",            "Nitro"],
+            ["O=C1C=C(O)CC1",          "O=C1C=C(O)CC1",             "O=C1C=C([O-])CC1",         "O=C-C=C-OH"],
+            ["C1CC1OO",                "OOC1CC1",                   "[O-]OC1CC1",               "Peroxide2"],
+            ["C(=O)OO",                "O=COO",                     "O=CO[O-]",                 "Peroxide1"],
+            ["Brc1cc(O)cc(Br)c1",      "Oc1cc(Br)cc(Br)c1",         "[O-]c1cc(Br)cc(Br)c1",     "Phenol"],
+            ["CC(=O)c1ccc(S)cc1",      "CC(=O)c1ccc(S)cc1",         "CC(=O)c1ccc([S-])cc1",     "Phenyl_Thiol"],
+            ["C=CCOc1ccc(C(=O)O)cc1",  "C=CCOc1ccc(C(=O)O)cc1",     "C=CCOc1ccc(C(=O)[O-])cc1", "Phenyl_carboxyl"],
+            ["COP(=O)(O)OC",           "COP(=O)(O)OC",              "COP(=O)([O-])OC",          "Phosphate_diester"],
+            ["CP(C)(=O)O",             "CP(C)(=O)O",                "CP(C)(=O)[O-]",            "Phosphinic_acid"],
+            ["CC(C)OP(C)(=O)O",        "CC(C)OP(C)(=O)O",           "CC(C)OP(C)(=O)[O-]",       "Phosphonate_ester"],
+            ["CC1(C)OC(=O)NC1=O",      "CC1(C)OC(=O)NC1=O",         "CC1(C)OC(=O)[N-]C1=O",     "Ringed_imide1"],
+            ["O=C(N1)C=CC1=O",         "O=C1C=CC(=O)N1",            "O=C1C=CC(=O)[N-]1",        "Ringed_imide2"],
+            ["O=S(OC)(O)=O",           "COS(=O)(=O)O",              "COS(=O)(=O)[O-]",          "Sulfate"],
+            ["COc1ccc(S(=O)O)cc1",     "COc1ccc(S(=O)O)cc1",        "COc1ccc(S(=O)[O-])cc1",    "Sulfinic_acid"],
+            ["CS(N)(=O)=O",            "CS(N)(=O)=O",               "CS([NH-])(=O)=O",          "Sulfonamide"],
+            ["CC(=O)CSCCS(O)(=O)=O",   "CC(=O)CSCCS(=O)(=O)O",      "CC(=O)CSCCS(=O)(=O)[O-]",  "Sulfonate"],
+            ["CC(=O)S",                "CC(=O)S",                   "CC(=O)[S-]",               "Thioic_acid"],
+            ["C(C)(C)(C)(S)",          "CC(C)(C)S",                 "CC(C)(C)[S-]",             "Thiol"],
+            ["Brc1cc[nH+]cc1",         "Brc1cc[nH+]cc1",            "Brc1ccncc1",               "Aromatic_nitrogen_unprotonated"],
+            ["C=C(O)c1c(C)cc(C)cc1C",  "C=C(O)c1c(C)cc(C)cc1C",     "C=C([O-])c1c(C)cc(C)cc1C", "Vinyl_alcohol"],
+            ["CC(=O)ON",               "CC(=O)O[NH3+]",             "CC(=O)ON",                 "Primary_hydroxyl_amine"]
+        ]
+
+        smis_phos = [
+            ["O=P(O)(O)OCCCC", "CCCCOP(=O)(O)O", "CCCCOP(=O)([O-])O", "CCCCOP(=O)([O-])[O-]", "Phosphate"],
+            ["CC(P(O)(O)=O)C", "CC(C)P(=O)(O)O", "CC(C)P(=O)([O-])O", "CC(C)P(=O)([O-])[O-]", "Phosphonate"]
+        ]
+
+        # Load the average pKa values.
+        average_pkas = {l.split()[0].replace("*", ""):float(l.split()[3]) for l in open("site_substructures.smarts") if l.split()[0] not in ["Phosphate", "Phosphonate"]}
+        average_pkas_phos = {l.split()[0].replace("*", ""):[float(l.split()[3]), float(l.split()[6])] for l in open("site_substructures.smarts") if l.split()[0] in ["Phosphate", "Phosphonate"]}
+
+        print("Running Tests")
+        print("=============")
+        print("")
+
+        print("Very Acidic (pH -10000000)")
+        print("--------------------------")
+        print("")
+
+        args = {
+            "min_ph": -10000000,
+            "max_ph": -10000000,
+            "pka_precision": 0.5,
+            "smiles": "",
+            "label_states": True
+        }
+
+        for smi, protonated, deprotonated, category in smis:
+            args["smiles"] = smi
+            TestFuncs.test_check(args, [protonated], ["PROTONATED"])
+
+        for smi, protonated, mix, deprotonated, category in smis_phos:
+            args["smiles"] = smi
+            TestFuncs.test_check(args, [protonated], ["PROTONATED"])
+
+        args["min_ph"] = 10000000
+        args["max_ph"] = 10000000
+
+        print("")
+        print("Very Basic (pH 10000000)")
+        print("------------------------")
+        print("")
+
+        for smi, protonated, deprotonated, category in smis:
+            args["smiles"] = smi
+            TestFuncs.test_check(args, [deprotonated], ["DEPROTONATED"])
+
+        for smi, protonated, mix, deprotonated, category in smis_phos:
+            args["smiles"] = smi
+            TestFuncs.test_check(args, [deprotonated], ["DEPROTONATED"])
+
+        print("")
+        print("pH is Category pKa")
+        print("------------------")
+        print("")
+
+        for smi, protonated, deprotonated, category in smis:
+            avg_pka = average_pkas[category]
+
+            args["smiles"] = smi
+            args["min_ph"] = avg_pka
+            args["max_ph"] = avg_pka
+
+            TestFuncs.test_check(args, [protonated, deprotonated], ["BOTH"])
+
+        for smi, protonated, mix, deprotonated, category in smis_phos:
+            args["smiles"] = smi
+
+            avg_pka = average_pkas_phos[category][0]
+            args["min_ph"] = avg_pka
+            args["max_ph"] = avg_pka
+
+            TestFuncs.test_check(args, [mix, protonated], ["BOTH"])
+
+            avg_pka = average_pkas_phos[category][1]
+            args["min_ph"] = avg_pka
+            args["max_ph"] = avg_pka
+
+            TestFuncs.test_check(args, [mix, deprotonated], ["DEPROTONATED", "DEPROTONATED"])
+
+            avg_pka = 0.5 * (average_pkas_phos[category][0] + average_pkas_phos[category][1])
+            args["min_ph"] = avg_pka
+            args["max_ph"] = avg_pka
+            args["pka_precision"] = 5  # Should give all three
+
+            TestFuncs.test_check(args, [mix, deprotonated, protonated], ["BOTH", "BOTH"])
+
+    @staticmethod
+    def test_check(args, expected_output, labels):
+        """Tests most ionizable groups. The ones that can only loose or gain a single proton.
+
+        :param args: The arguments to pass to protonate()
+        :param expected_output: A list of the expected SMILES-strings output.
+        :param labels: The labels. A list containing combo of BOTH, PROTONATED,
+                    DEPROTONATED.
+        :raises Exception: Wrong number of states produced.
+        :raises Exception: Unexpected output SMILES.
+        :raises Exception: Wrong labels.
+        """
+
+        output = list(Protonate(args))
+        output = [o.split() for o in output]
+
+        num_states = len(expected_output)
+
+        if (len(output) != num_states):
+            msg = args["smiles"] + " should have " + str(num_states) + \
+                " states at at pH " + str(args["min_ph"]) + ": " + str(output)
+            print(msg)
+            raise Exception(msg)
+
+        if (len(set([l[0] for l in output]) - set(expected_output)) != 0):
+            msg = args["smiles"] + " is not " + " AND ".join(expected_output) + \
+                " at pH " + str(args["min_ph"]) + " - " + str(args["max_ph"]) + \
+                "; it is " + " AND ".join([l[0] for l in output])
+            print(msg)
+            raise Exception(msg)
+
+        if (len(set([l[1] for l in output]) - set(labels)) != 0):
+            msg = args["smiles"] + " not labeled as " + " AND ".join(labels) + \
+                "; it is " + " AND ".join([l[1] for l in output])
+            print(msg)
+            raise Exception(msg)
+
+        ph_range = sorted(list(set([args["min_ph"], args["max_ph"]])))
+        ph_range_str = "(" + " - ".join("{0:.2f}".format(n) for n in ph_range) + ")"
+        print("(CORRECT) " + ph_range_str.ljust(10) + " " + args["smiles"] + " => " + " AND ".join([l[0] for l in output]))
+
+def run(**kwargs):
+    """A helpful, importable function for those who want to call Dimorphite-DL
+    from another Python script rather than the command line. Note that this
+    function accepts keyword arguments that match the command-line parameters
+    exactly. If you want to pass and return a list of RDKit Mol objects, import
+    run_with_mol_list() instead.
+
+    :param **kwargs: For a complete description, run dimorphite_dl.py from the
+        command line with the -h option.
+    :type kwargs: dict
+    """
+
+    # Run the main function with the specified arguments.
+    main(kwargs)
+
+def run_with_mol_list(mol_lst, **kwargs):
+    """A helpful, importable function for those who want to call Dimorphite-DL
+    from another Python script rather than the command line. Note that this
+    function is for passing Dimorphite-DL a list of RDKit Mol objects, together
+    with command-line parameters. If you want to use only the same parameters
+    that you would use from the command line, import run() instead.
+
+    :param mol_lst: A list of rdkit.Chem.rdchem.Mol objects.
+    :type mol_lst: list
+    :raises Exception: If the **kwargs includes "smiles", "smiles_file",
+                       "output_file", or "test" parameters.
+    :return: A list of properly protonated rdkit.Chem.rdchem.Mol objects.
+    :rtype: list
+    """
+
+    # Do a quick check to make sure the user input makes sense.
+    for bad_arg in ["smiles", "smiles_file", "output_file", "test"]:
+        if bad_arg in kwargs:
+            msg = "You're using Dimorphite-DL's run_with_mol_list(mol_lst, " + \
+                   "**kwargs) function, but you also passed the \"" + \
+                   bad_arg + "\" argument. Did you mean to use the " + \
+                   "run(**kwargs) function instead?"
+            print(msg)
+            raise Exception(msg)
+
+    # Set the return_as_list flag so main() will return the protonated smiles
+    # as a list.
+    kwargs["return_as_list"] = True
+
+    # Having reviewed the code, it will be very difficult to rewrite it so
+    # that a list of Mol objects can be used directly. Intead, convert this
+    # list of mols to smiles and pass that. Not efficient, but it will work.
+    protonated_smiles_and_props = []
+    for m in mol_lst:
+        props = m.GetPropsAsDict()
+        kwargs["smiles"] = Chem.MolToSmiles(m, isomericSmiles=True)
+        protonated_smiles_and_props.extend(
+            [(s.split("\t")[0], props) for s in main(kwargs)]
+        )
+
+    # Now convert the list of protonated smiles strings back to RDKit Mol
+    # objects. Also, add back in the properties from the original mol objects.
+    mols = []
+    for s, props in protonated_smiles_and_props:
+        m = Chem.MolFromSmiles(s)
+        if m:
+            for prop, val in props.items():
+                if type(val) is int:
+                    m.SetIntProp(prop, val)
+                elif type(val) is float:
+                    m.SetDoubleProp(prop, val)
+                elif type(val) is bool:
+                    m.SetBoolProp(prop, val)
+                else:
+                    m.SetProp(prop, str(val))
+            mols.append(m)
+        else:
+            UtilFuncs.eprint("WARNING: Could not process molecule with SMILES string " + s + " and properties " + str(props))
+
+    return mols
+
+if __name__ == "__main__":
+    main()
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/site_substructures.smarts	Tue Mar 10 12:57:48 2020 -0400
@@ -0,0 +1,39 @@
+*Azide	[N+0:1]=[N+:2]=[N+0:3]-[H]	2	4.65	0.07071067811865513
+Nitro	[C,c,N,n,O,o:1]-[NX3:2](=[O:3])-[O:4]-[H]	3	-1000.0	0
+AmidineGuanidine1	[N:1]-[C:2](-[N:3])=[NX2:4]-[H:5]	3	12.025333333333334	1.5941046150769165
+AmidineGuanidine2	[C:1](-[N:2])=[NX2+0:3]	2	10.035538461538462	2.1312826469414716
+Sulfate	[SX4:1](=[O:2])(=[O:3])([O:4]-[C,c,N,n:5])-[OX2:6]-[H]	5	-2.36	1.3048043093561141
+Sulfonate	[SX4:1](=[O:2])(=[O:3])(-[C,c,N,n:4])-[OX2:5]-[H]	4	-1.8184615384615386	1.4086213481855594
+Sulfinic_acid	[SX3:1](=[O:2])-[O:3]-[H]	2	1.7933333333333332	0.4372070447739835
+Phenyl_carboxyl	[c,n,o:1]-[C:2](=[O:3])-[O:4]-[H]	3	3.463441968255319	1.2518054407928614
+Carboxyl	[C:1](=[O:2])-[O:3]-[H]	2	3.456652971502591	1.2871420886834017
+Thioic_acid	[C,c,N,n:1](=[O,S:2])-[SX2,OX2:3]-[H]	2	0.678267	1.497048763660801
+Phenyl_Thiol	[c,n:1]-[SX2:2]-[H]	1	4.978235294117647	2.6137000480499806
+Thiol	[C,N:1]-[SX2:2]-[H]	1	9.12448275862069	1.3317968158171463
+Phosphate	[PX4:1](=[O:2])(-[OX2:3]-[H])(-[O+0:4])-[OX2:5]-[H]	2	2.4182608695652172	1.1091177991945305	5	6.5055	0.9512787792174668
+Phosphonate	[PX4:1](=[O:2])(-[OX2:3]-[H])(-[C,c,N,n:4])-[OX2:5]-[H]	2	1.8835714285714287	0.5925999820080644	5	7.247254901960784	0.8511476450801531
+Phenol	[c,n,o:1]-[O:2]-[H]	1	7.065359866910526	3.277356122295936
+Peroxide1	[O:1]([$(C=O),$(C[Cl]),$(CF),$(C[Br]),$(CC#N):2])-[O:3]-[H]	2	8.738888888888889	0.7562592839596507
+Peroxide2	[C:1]-[O:2]-[O:3]-[H]	2	11.978235294117647	0.8697645895163075
+O=C-C=C-OH	[O:1]=[C;R:2]-[C;R:3]=[C;R:4]-[O:5]-[H]	4	3.554	0.803339458581667
+Vinyl_alcohol	[C:1]=[C:2]-[O:3]-[H]	2	8.871850714285713	1.660200255394124
+Alcohol	[C:1]-[O:2]-[H]	1	14.780384615384616	2.546464970533435
+N-hydroxyamide	[C:1](=[O:2])-[N:3]-[O:4]-[H]	3	9.301904761904762	1.2181897185891002
+*Ringed_imide1	[O,S:1]=[C;R:2]([$([#8]),$([#7]),$([#16]),$([#6][Cl]),$([#6]F),$([#6][Br]):3])-[N;R:4]([C;R:5]=[O,S:6])-[H]	3	6.4525	0.5555627777308341
+*Ringed_imide2	[O,S:1]=[C;R:2]-[N;R:3]([C;R:4]=[O,S:5])-[H]	2	8.681666666666667	1.8657779975741713
+*Imide	[F,Cl,Br,S,s,P,p:1][#6:2][CX3:3](=[O,S:4])-[NX3+0:5]([CX3:6]=[O,S:7])-[H]	4	2.466666666666667	1.4843629385474877
+*Imide2	[O,S:1]=[CX3:2]-[NX3+0:3]([CX3:4]=[O,S:5])-[H]	2	10.23	1.1198214143335534
+*Amide_electronegative	[C:1](=[O:2])-[N:3](-[Br,Cl,I,F,S,O,N,P:4])-[H]	2	3.4896	2.688124315081677
+*Amide	[C:1](=[O:2])-[N:3]-[H]	2	12.00611111111111	4.512491341218857
+*Sulfonamide	[SX4:1](=[O:2])(=[O:3])-[NX3+0:4]-[H]	3	7.9160326086956525	1.9842121316708763
+Anilines_primary	[c:1]-[NX3+0:2]([H:3])[H:4]	1	3.899298673194805	2.068768503987161
+Anilines_secondary	[c:1]-[NX3+0:2]([H:3])[!H:4]	1	4.335408163265306	2.1768842022330843
+Anilines_tertiary	[c:1]-[NX3+0:2]([!H:3])[!H:4]	1	4.16690685045614	2.005865735782679
+Aromatic_nitrogen_unprotonated	[n+0&H0:1]	0	4.3535441240733945	2.0714072661859584
+Amines_primary_secondary_tertiary	[C:1]-[NX3+0:2]	1	8.159107682388349	2.5183597445318147
+Phosphinic_acid	[PX4:1](=[O:2])(-[C,c,N,n,F,Cl,Br,I:3])(-[C,c,N,n,F,Cl,Br,I:4])-[OX2:5]-[H]	4	2.9745	0.6867886750744557
+Phosphate_diester	[PX4:1](=[O:2])(-[OX2:3]-[C,c,N,n,F,Cl,Br,I:4])(-[O+0:5]-[C,c,N,n,F,Cl,Br,I:4])-[OX2:6]-[H]	6	2.7280434782608696	2.5437448856908316
+Phosphonate_ester	[PX4:1](=[O:2])(-[OX2:3]-[C,c,N,n,F,Cl,Br,I:4])(-[C,c,N,n,F,Cl,Br,I:5])-[OX2:6]-[H]	5	2.0868	0.4503028610465036
+Primary_hydroxyl_amine	[C,c:1]-[O:2]-[NH2:3]	2	4.035714285714286	0.8463816543155368
+*Indole_pyrrole	[c;R:1]1[c;R:2][c;R:3][c;R:4][n;R:5]1[H]	4	14.52875	4.06702491591416
+*Aromatic_nitrogen_protonated	[n:1]-[H]	0	7.17	2.94602395490212
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/mols.smi	Tue Mar 10 12:57:48 2020 -0400
@@ -0,0 +1,3 @@
+NCCCCC(N)C(=O)O	lysine
+O=C(O)C(N)C	alanine
+N[C@@H](CC1=CC=CC=C1)C(O)=O	phenylanaline