AAComposition 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: Dongsheng Cao and Zhijiang Yao.
Date: 2016.7.27
Email: oriental-cds@163.com and gadsby@163.com
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AAComposition.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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AAComposition.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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AAComposition.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
400 dipeptides.