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LIBRUS: combined machine learning and homology information for sequence-based ligand-binding residue prediction

Motivation: Identifying residues that interact with ligands is useful as a first step to understanding protein function and as an aid to designing small molecules that target the protein for interaction. Several studies have shown that sequence features are very informative for this type of predicti...

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Detalhes bibliográficos
Main Authors: Kauffman, Chris, Karypis, George
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2009
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3167698/
https://ncbi.nlm.nih.gov/pubmed/19786483
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btp561
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