PINGU: PredIction of eNzyme catalytic residues usinG seqUence information

Identification of catalytic residues can help unveil interesting attributes of enzyme function for various therapeutic and industrial applications. Based on their biochemical roles, the number of catalytic residues and sequence lengths of enzymes vary. This article describes a prediction approach (P...

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Veröffentlicht in:	PloS one 2015-08, Vol.10 (8), p.e0135122-e0135122
Hauptverfasser:	Pai, Priyadarshini P, Ranjani, S S Shree, Mondal, Sukanta
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Amino Acid Sequence Amino acids Artificial intelligence Bioinformatics Catalysis Catalytic Domain Computational Biology - methods Correlation analysis Correlation coefficient Correlation coefficients Datasets Datasets as Topic Drug discovery Enzymes Enzymes - chemistry Enzymes - metabolism Health aspects Industrial applications Information processing Ligands Mathematical models Model testing Molecular Sequence Data Physicochemical properties Post-processing Predictions Proteins Reproducibility of Results Residues Science Support Vector Machine Support vector machines Technology application
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