PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework

Article ID	Journal	Published Year	Pages	File Type
8876803	Journal of Theoretical Biology	2018	31 Pages	PDF

Abstract

The flowchart of PREvaIL for inferring catalytic residues based on the integration of sequence, structural, and residue-contact-network features using the random forest machine-learning framework.127

Keywords

Pattern recognition Bioinformatics Sequence analysis Functional annotation Machine learning

Related Topics

Life Sciences Agricultural and Biological Sciences Agricultural and Biological Sciences (General)

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PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework

Authors

Jiangning Song, Fuyi Li, Kazuhiro Takemoto, Gholamreza Haffari, Tatsuya Akutsu, Kuo-Chen Chou, Geoffrey I. Webb,