Your browser doesn't support javascript.
loading
Exploring Ligand Stability in Protein Crystal Structures Using Binding Pose Metadynamics.
Fusani, Lucia; Palmer, David S; Somers, Don O; Wall, Ian D.
Afiliación
  • Fusani L; Molecular Design UK, GSK Medicines Research Centre, Gunnels Wood Road, Stevenage, Hertfordshire SG1 2NY, U.K.
  • Palmer DS; Department of Pure and Applied Chemistry, University of Strathclyde, 295 Cathedral Street, Glasgow G11XL, U.K.
  • Somers DO; Department of Pure and Applied Chemistry, University of Strathclyde, 295 Cathedral Street, Glasgow G11XL, U.K.
  • Wall ID; Protein, Cellular and Structural Sciences, GSK Medicines Research Centre, Gunnels Wood Road, Stevenage, Hertfordshire SG1 2NY, U.K.
J Chem Inf Model ; 60(3): 1528-1539, 2020 03 23.
Article en En | MEDLINE | ID: mdl-31910338
Identification of correct protein-ligand binding poses is important in structure-based drug design and crucial for the evaluation of protein-ligand binding affinity. Protein-ligand coordinates are commonly obtained from crystallography experiments that provide a static model of an ensemble of conformations. Binding pose metadynamics (BPMD) is an enhanced sampling method that allows for an efficient assessment of ligand stability in solution. Ligand poses that are unstable under the bias of the metadynamics simulation are expected to be infrequently occupied in the energy landscape, thus making minimal contributions to the binding affinity. Here, the robustness of the method is studied using crystal structures with ligands known to be incorrectly modeled, as well as 63 structurally diverse crystal structures with ligand fit to electron density from the Twilight database. Results show that BPMD can successfully differentiate compounds whose binding pose is not supported by the electron density from those with well-defined electron density.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Diseño de Fármacos / Proteínas Idioma: En Revista: J Chem Inf Model Asunto de la revista: INFORMATICA MEDICA / QUIMICA Año: 2020 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Diseño de Fármacos / Proteínas Idioma: En Revista: J Chem Inf Model Asunto de la revista: INFORMATICA MEDICA / QUIMICA Año: 2020 Tipo del documento: Article