Predicted PAR1 inhibitors from multiple computational methods

Ying Wang, Jinfeng Liu, Tong Zhu, Lujia Zhang, Xiao He, John Z.H. Zhang

Research output: Contribution to journalArticle

Abstract

Multiple computational approaches are employed in order to find potentially strong binders of PAR1 from the two molecular databases: the Specs database containing more than 200,000 commercially available molecules and the traditional Chinese medicine (TCM) database. By combining the use of popular docking scoring functions together with detailed molecular dynamics simulation and protein-ligand free energy calculations, a total of fourteen molecules are found to be potentially strong binders of PAR1. The atomic details in protein-ligand interactions of these molecules with PAR1 are analyzed to help understand the binding mechanism which should be very useful in design of new drugs.

Original languageEnglish (US)
Pages (from-to)295-303
Number of pages9
JournalChemical Physics Letters
Volume659
DOIs
StatePublished - Aug 16 2016

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ASJC Scopus subject areas

  • Physics and Astronomy(all)
  • Physical and Theoretical Chemistry

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