Mercurial > repos > jose_duarte > phagedpo
view local_AAComposition.py @ 41:ddd9e3b58525 draft default tip
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author | jose_duarte |
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date | Fri, 02 Feb 2024 16:28:15 +0000 |
parents | 52e50de4c005 |
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# -*- 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