PyProteinAAComposition module¶
The module is used for computing the composition of amino acids, dipetide and
3-mers (tri-peptide) for a given protein sequence. You can get 8420 descriptors
for a given protein sequence. You can freely use and distribute it. If you hava
any problem, you could contact with us timely!
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: Zhijiang Yao and Dongsheng Cao.
Date: 2016.06.04
Email: gadsby@163.com
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PyProteinAAComposition.CalculateAAComposition(ProteinSequence)[source]¶ Calculate the composition of Amino acids
for a given protein sequence.
Usage:
result=CalculateAAComposition(protein)
Input: protein is a pure protein sequence.
Output: result is a dict form containing the composition of
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PyProteinAAComposition.CalculateAADipeptideComposition(ProteinSequence)[source]¶ Calculate the composition of AADs, dipeptide and 3-mers for a
given protein sequence.
Usage:
result=CalculateAADipeptideComposition(protein)
Input: protein is a pure protein sequence.
Output: result is a dict form containing all composition values of
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PyProteinAAComposition.CalculateDipeptideComposition(ProteinSequence)[source]¶ Calculate the composition of dipeptidefor a given protein sequence.
Usage:
result=CalculateDipeptideComposition(protein)
Input: protein is a pure protein sequence.
Output: result is a dict form containing the composition of