Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information

Background Guanosine triphosphate (GTP)-binding proteins play an important role in regulation of G-protein. Thus prediction of GTP interacting residues in a protein is one of the major challenges in the field of the computational biology. In this study, an attempt has been made to develop a computat...

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Vydané v:	BMC bioinformatics Ročník 11; číslo 1; s. 301
Hlavní autori:	Chauhan, Jagat S, Mishra, Nitish K, Raghava, Gajendra PS
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London BioMed Central 03.06.2010 BioMed Central Ltd BMC
Predmet:	Algorithms Applications software Binding Sites Bioinformatics Biomedical and Life Sciences Computational biology Computational Biology/Bioinformatics Computer Appl. in Life Sciences Databases, Protein Dipeptides - chemistry Dipeptides - metabolism Evolution, Molecular G proteins Guanosine Triphosphate - chemistry Guanosine Triphosphate - metabolism Life Sciences Microarrays Oligopeptides - chemistry Oligopeptides - metabolism Physiological aspects Protein-protein interactions Proteins - chemistry Proteins - metabolism Research Article Sequence analysis (applications) Sequence Analysis, Protein India Support Vector Machine Model Evolutionary Information Support Vector Machine Negative Pattern Matthews Correlation Coefficient
ISSN:	1471-2105, 1471-2105
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