Support Vector Machine-based classification of protein folds using the structural properties of amino acid residues and amino acid residue pairs | Zendy

Tabrez A. Mohammad | Zendy; Mohammad Anwaruddin | Zendy; Hampapathalu Adimurthy Nagarajaram | Zendy

Open Access

Support Vector Machine-based classification of protein folds using the structural properties of amino acid residues and amino acid residue pairs

Author(s) -

Tabrez A. Mohammad,

Mohammad Anwaruddin,

Hampapathalu Adimurthy Nagarajaram

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm527

Subject(s) - residue (chemistry) , amino acid residue , support vector machine , amino acid , computer science , chemistry , artificial intelligence , pattern recognition (psychology) , peptide sequence , biochemistry , gene

Fold recognition is a key step in the protein structure discovery process, especially when traditional sequence comparison methods fail to yield convincing structural homologies. Although many methods have been developed for protein fold recognition, their accuracies remain low. This can be attributed to insufficient exploitation of fold discriminatory features.

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