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Are induced fit protein conformational changes caused by ligand-binding predictable? A molecular dynamics investigation.
Gao, Cen; Desaphy, Jeremy; Vieth, Michal.
Afiliação
  • Gao C; Discovery chemistry, Lilly Research Laboratories, Eli Lilly and Company, Lilly Corporate Center, Discovery Chemistry Research and Technologies, DC 1931, Indianapolis, Indiana, 46285.
  • Desaphy J; Discovery chemistry, Lilly Research Laboratories, Eli Lilly and Company, Lilly Corporate Center, Discovery Chemistry Research and Technologies, DC 1931, Indianapolis, Indiana, 46285.
  • Vieth M; Discovery Chemistry Research, Lilly Biotechnology Center, San Diego, California 92121.
J Comput Chem ; 38(15): 1229-1237, 2017 06 05.
Article em En | MEDLINE | ID: mdl-28419481
ABSTRACT
In this work, the ability of molecular dynamics simulations (MD) to prospectively predict regions of ligand binding sites that could undergo induced fit effects was investigated. Conventional MD was run on 39 apo structures (no ligand), and the resulting trajectories were compared to a set of 147 holo X-ray structures (ligand-bound). It was observed from the simulations, in the absence of the ligands, that structures exhibiting large residue conformational changes indicated higher likelihood of induced fit effects. Nevertheless, the simulation results did not perform better than using the normalized crystallographic structural factors as predictors of active-site rigid residues (87% predictive power) and mobile residues (47% predictive power). While the simulations could not produce full active sites conformations similar to holo-like states, it was found that the simulations could reproduce bound state conformations of individual residues. These results suggest potential issues in the use of unligated simulation frames directly for drug design applications such as ligand docking, and an overall caution in the use of protein flexibility in docking protocols should be emphasized. © 2017 Wiley Periodicals, Inc.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Conformação Proteica / Desenho de Fármacos / Proteínas / Simulação de Dinâmica Molecular Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Comput Chem Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Conformação Proteica / Desenho de Fármacos / Proteínas / Simulação de Dinâmica Molecular Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Comput Chem Ano de publicação: 2017 Tipo de documento: Article