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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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Autors principals: Kauffman, Chris, Karypis, George
Format: Artigo
Idioma:Inglês
Publicat: Oxford University Press 2009
Matèries:
Accés en línia: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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