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Water Pharmacophore: Designing Ligands using Molecular Dynamics Simulations with Water.
Jung, Sang Won; Kim, Minsup; Ramsey, Steven; Kurtzman, Tom; Cho, Art E.
Affiliation
  • Jung SW; Department of Bioinformatics, Korea University, Sejong, 30019, Korea.
  • Kim M; Center for Supercomputing and Big Data, DGIST, Daegu, 42988, Korea.
  • Ramsey S; Department of Bioinformatics, Korea University, Sejong, 30019, Korea.
  • Kurtzman T; Department of Chemistry, Lehman College, Bronx, New York, 10468, USA.
  • Cho AE; Ph.D. Program in Biochemistry, The Graduate Center of the City University of New York, 365 5th Avenue, New York, New York, 10016, USA.
Sci Rep ; 8(1): 10400, 2018 Jul 10.
Article in En | MEDLINE | ID: mdl-29991756
ABSTRACT
In this study, we demonstrate a method to construct a water-based pharmacophore model which can be utilized in the absence of known ligands. This method utilizes waters found in the binding pocket, sampled through molecular dynamics. Screening of compound databases against this water-based pharmacophore model reveals that this approach can successfully identify known binders to a target protein. The method was tested by enrichment studies of 7 therapeutically important targets and compared favourably to screening-by-docking with Glide. Our results suggest that even without experimentally known binders, pharmacophore models can be generated using molecular dynamics with waters and used for virtual screening.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Protein Conformation / Water / Molecular Dynamics Simulation / High-Throughput Screening Assays Limits: Humans Language: En Journal: Sci Rep Year: 2018 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Protein Conformation / Water / Molecular Dynamics Simulation / High-Throughput Screening Assays Limits: Humans Language: En Journal: Sci Rep Year: 2018 Document type: Article