Investigating detailed interactions between novel PAR1 antagonist F16357 and the receptor using docking and molecular dynamic simulations

Carolyn Readmond, Chun Wu

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Currently, Vorapaxar is the only recently FDA-approved antiplatelet drug targeting Protease-activated receptor 1 (PAR1). However, a novel antagonist, F16357, has been shown to prevent painful bladder syndrome, also known as interstitial cystitis (IC). Unfortunately, there is no high resolution structure of the F16357-receptor complex, hindering its optimization as a therapeutic agent. In this study, we used docking and molecular dynamic (MD) simulations to investigate the detailed interactions between F16357 and PAR1 at a molecular level. The recently solved crystal structure of human PAR1 complexed with Vorapaxar was used in our docking of F16357 into the binding pocket of the receptor. To enhance binding pose selection, F16357 was docked first without constraints and then with a positional constraint to invert its orientation to become similar to that of Vorapaxar. The three systems, with crystal Vorapaxar, F16357 and an inverted F16357, were subjected to 3.0 μs MD simulations. The MM-GBSA binding energy analysis showed that F16357 binds more strongly in a pose obtained from an unrestrained docking than in the inverted pose from a restrained docking; and Vorapaxar binds more strongly than F17357. This ordering is consistent with the experimental pIC50 values. Our structural data showed subtle changes in the binding pose between Vorapaxar and F16357. Transmembrane helices 1, 2, 5, and 7 were most significantly affected; most notably a large kink at F2795.47 in TM helix 5 of the Vorapaxar complex was completely absent in the F16357 complex. The results of this study facilitate the future development of other therapeutic PAR1 antagonists.

Original languageEnglish (US)
Pages (from-to)205-217
Number of pages13
JournalJournal of Molecular Graphics and Modelling
StatePublished - Oct 2017

All Science Journal Classification (ASJC) codes

  • Spectroscopy
  • Physical and Theoretical Chemistry
  • Computer Graphics and Computer-Aided Design
  • Materials Chemistry


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