Mercurial > repos > jose_duarte > phagedpo
diff local_AAComposition.py @ 26:52e50de4c005 draft
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author | jose_duarte |
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date | Sun, 12 Dec 2021 10:49:43 +0000 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/local_AAComposition.py Sun Dec 12 10:49:43 2021 +0000 @@ -0,0 +1,78 @@ + +# -*- coding: utf-8 -*- +""" +The module is used for computing the composition of amino acids, dipetide and +3-mers (tri-peptide) for a given protein sequence. +References +---------- +.. [1] Reczko, M. and Bohr, H. (1994) The DEF data base of sequence based protein + fold class predictions. Nucleic Acids Res, 22, 3616-3619. +.. [2] Hua, S. and Sun, Z. (2001) Support vector machine approach for protein + subcellular localization prediction. Bioinformatics, 17, 721-728. +.. [3] Grassmann, J., Reczko, M., Suhai, S. and Edler, L. (1999) Protein fold + class prediction: new methods of statistical classification. Proc Int Conf + Intell Syst Mol Biol, 106-112. +Authors: Dongsheng Cao and Yizeng Liang. +Date: 2012.3.27 +Email: oriental-cds@163.com +""" + +# Core Library +import re +from typing import Any, Dict, List + +AALetter: List[str] = list("ARNDCEQGHILKMFPSTWYV") + +ProteinSequence_docstring = """ProteinSequence: str + a pure protein sequence""" + + +def CalculateAAComposition(ProteinSequence: str) -> Dict[str, float]: + sequence_length = len(ProteinSequence) + result: Dict[str, float] = {} + for i in AALetter: + result[i] = round(float(ProteinSequence.count(i)) / sequence_length * 100, 3) + return result + + +def CalculateDipeptideComposition(ProteinSequence: str) -> Dict[str, float]: + sequence_length = len(ProteinSequence) + result = {} + for i in AALetter: + for j in AALetter: + dipeptide = i + j + result[dipeptide] = round( + float(ProteinSequence.count(dipeptide)) / (sequence_length - 1) * 100, 2 + ) + return result + + +def Getkmers() -> List[str]: + kmers = [] + for i in AALetter: + for j in AALetter: + for k in AALetter: + kmers.append(i + j + k) + return kmers + + +def GetSpectrumDict(proteinsequence: str) -> Dict[str, int]: + result = {} + kmers = Getkmers() + for i in kmers: + result[i] = len(re.findall(i, proteinsequence)) + return result + + +def CalculateAADipeptideComposition(ProteinSequence: str) -> Dict[str, float]: + result: Dict[Any, Any] = {} + result.update(CalculateAAComposition(ProteinSequence)) + result.update(CalculateDipeptideComposition(ProteinSequence)) + result.update(GetSpectrumDict(ProteinSequence)) + return result + + + + + +