Review of QSAR Models for Enzyme Classes of Drug Targets: Theoretical Background and Applications in Parasites, Hosts and Other Organisms
Keywords: 1D techniques; Alignment-Free Methods (AFMs); Artificial Neural Network; Bayesian classification; EC number; Enzyme Class Query (ECQ); Enzymes classes; Functional Domain Composition (FDC); Gene Ontology; MASCOT; Markov Chain Model; Markov Models; Mouse Genome Database (MGD); Predict Enzyme Function; Protein Data Bank; Protein Structure-Function Relationship; Saccharomyces Genome Database(SGD); Support Vector Machine; Web Servers; alignment-free Machine Learning methods; computational approaches
Document Type: Research Article
Affiliations: Department of Microbiology and Parasitology, Faculty of Pharmacy, University of Santiago de Compostela (USC), Santiago de Compostela, 15782, Spain.
Publication date: 2010-08-01
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