Mercurial > repos > nedias > orf_tools
changeset 2:c56b8a6bd02e draft
Uploaded
author | nedias |
---|---|
date | Wed, 12 Oct 2016 00:03:46 -0400 |
parents | 3814470e221a |
children | 0095bf758b19 |
files | GTranslator.py |
diffstat | 1 files changed, 196 insertions(+), 0 deletions(-) [+] |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/GTranslator.py Wed Oct 12 00:03:46 2016 -0400 @@ -0,0 +1,196 @@ +""" + Translate nucleotide code to polypeptide + Because condon table is never change, so in consider of read/exe performance, + it is hard-coded, not writen in XML or other format of files, nor store in database + TODO: Need to add condon table for RNA + + Author Nedias +""" + +from Bio.Alphabet import generic_protein +from Bio.Seq import Seq + + +# Nucleotide to Polypeptide mapping +def condon_table(): + c_table = dict() + + c_table["TTT"] = "F" + c_table["TTC"] = "F" + c_table["TTA"] = "L" + c_table["TTG"] = "L" + c_table["CTT"] = "L" + c_table["CTC"] = "L" + c_table["CTA"] = "L" + c_table["CTG"] = "L" + c_table["ATT"] = "I" + c_table["ATC"] = "I" + c_table["ATA"] = "I" + c_table["ATG"] = "M" + c_table["GTT"] = "V" + c_table["GTC"] = "V" + c_table["GTA"] = "V" + c_table["GTG"] = "V" + c_table["TCT"] = "S" + c_table["TCA"] = "S" + c_table["TCC"] = "S" + c_table["TCG"] = "S" + c_table["CCT"] = "P" + c_table["CCC"] = "P" + c_table["CCA"] = "P" + c_table["CCG"] = "P" + c_table["ACT"] = "T" + c_table["ACC"] = "T" + c_table["ACA"] = "T" + c_table["ACG"] = "T" + c_table["GCT"] = "A" + c_table["GCC"] = "A" + c_table["GCA"] = "A" + c_table["GCG"] = "A" + c_table["TAT"] = "Y" + c_table["TAC"] = "Y" + c_table["TAA"] = "stop" + c_table["TAG"] = "stop" + c_table["CAT"] = "H" + c_table["CAC"] = "H" + c_table["CAA"] = "Q" + c_table["CAG"] = "Q" + c_table["AAT"] = "N" + c_table["AAC"] = "N" + c_table["AAA"] = "K" + c_table["AAG"] = "K" + c_table["GAT"] = "D" + c_table["GAC"] = "D" + c_table["GAA"] = "E" + c_table["GAG"] = "E" + c_table["TGT"] = "C" + c_table["TGC"] = "C" + c_table["TGA"] = "stop" + c_table["TGG"] = "W" + c_table["CGT"] = "R" + c_table["CGC"] = "R" + c_table["CGA"] = "R" + c_table["CGG"] = "R" + c_table["AGT"] = "S" + c_table["AGC"] = "S" + c_table["AGA"] = "R" + c_table["AGG"] = "R" + c_table["GGT"] = "G" + c_table["GGC"] = "G" + c_table["GGA"] = "G" + c_table["GGG"] = "G" + c_table.update(dict((c_table[i], i) for i in c_table)) + + return c_table + + +# Nucleotide to Polypeptide mapping for complementary sequence +def rev_condon_table(): + + c_table = dict() + + c_table["AAA"] = "F" + c_table["AAG"] = "F" + c_table["AAT"] = "L" + c_table["AAC"] = "L" + c_table["GAA"] = "L" + c_table["GAG"] = "L" + c_table["GAT"] = "L" + c_table["GAC"] = "L" + c_table["TAA"] = "I" + c_table["TAG"] = "I" + c_table["TAT"] = "I" + c_table["TAC"] = "M" + c_table["CAA"] = "V" + c_table["CAG"] = "V" + c_table["CAT"] = "V" + c_table["CAC"] = "V" + c_table["AGA"] = "S" + c_table["AGT"] = "S" + c_table["AGG"] = "S" + c_table["AGC"] = "S" + c_table["GGA"] = "P" + c_table["GGG"] = "P" + c_table["GGT"] = "P" + c_table["GGC"] = "P" + c_table["TGA"] = "T" + c_table["TGG"] = "T" + c_table["TGT"] = "T" + c_table["TGC"] = "T" + c_table["CGA"] = "A" + c_table["CGG"] = "A" + c_table["CGT"] = "A" + c_table["CGC"] = "A" + c_table["ATA"] = "Y" + c_table["ATG"] = "Y" + c_table["ATT"] = "stop" + c_table["ATC"] = "stop" + c_table["GTA"] = "H" + c_table["GTG"] = "H" + c_table["GTT"] = "Q" + c_table["GTC"] = "Q" + c_table["TTA"] = "N" + c_table["TTG"] = "N" + c_table["TTT"] = "K" + c_table["TTC"] = "K" + c_table["CTA"] = "D" + c_table["CTG"] = "D" + c_table["CTT"] = "E" + c_table["CTC"] = "E" + c_table["ACA"] = "C" + c_table["ACG"] = "C" + c_table["ACT"] = "stop" + c_table["ACC"] = "W" + c_table["GCA"] = "R" + c_table["GCG"] = "R" + c_table["GCT"] = "R" + c_table["GCC"] = "R" + c_table["TCA"] = "S" + c_table["TCG"] = "S" + c_table["TCT"] = "R" + c_table["TCC"] = "R" + c_table["CCA"] = "G" + c_table["CCG"] = "G" + c_table["CCT"] = "G" + c_table["CCC"] = "G" + c_table.update(dict((c_table[i], i) for i in c_table)) + + return c_table + + +# Check if the sequence is a multiple of 3 +# input: Nucleotide sequence in SeqRecords format or string format +# output: check result +def check_seq(seq): + + if len(seq) % 3 == 0: + return True + else: + return False + + +# Translate Nucleotide to Polypeptide +# input: 1.seq: Nucleotide sequence in SeqRecords format +# 2.rev: True if +strand(use normal mapping), False for -strand(use complementary mapping) +# return: Polypeptide sequence in Seq format +def nucleotide_to_polypeptide(seq, rev): + + poly_seq = "" + # If -strand, use complementary mapping + if rev: + c_table = rev_condon_table() + # If +strand, use normal mapping + else: + c_table = condon_table() + + # If sequence length is a multiple of 3 + if check_seq(seq): + str_seq = str(seq) + # Translate every 3 nucleotide acid to one polypeptide + for i in xrange(0, len(str_seq) - 3, 3): + poly_seq += c_table[str_seq[i:i+3]] + return Seq(poly_seq, generic_protein) + + + +