An Integrated In Silico Method to Discover Novel Rock1 Inhibitors: Multi- Complex-Based Pharmacophore, Molecular Dynamics Simulation and Hybrid Protocol Virtual Screening

Title:An Integrated In Silico Method to Discover Novel Rock1 Inhibitors: Multi- Complex-Based Pharmacophore, Molecular Dynamics Simulation and Hybrid Protocol Virtual Screening

Volume: 19 Issue: 1

Author(s): Haining Chen, Sijia Li, Yajiao Hu, Guo Chen, Qinglin Jiang, Rongsheng Tong, Zhihe Zang and Lulu Cai

Affiliation:

Keywords: Pharmacophore, molecular docking, molecular dynamics simulation, virtual screening, Rho kinases 1 (ROCK1).

Abstract: Rho-associated, coiled-coil containing protein kinase 1 (ROCK1) is an important regulator of focal adhesion, actomyosin contraction and cell motility. In this manuscript, a combination of the multi-complex-based pharmacophore (MCBP), molecular dynamics simulation and a hybrid protocol of a virtual screening method, comprised of multipharmacophore- based virtual screening (PBVS) and ensemble docking-based virtual screening (DBVS) methods were used for retrieving novel ROCK1 inhibitors from the natural products database embedded in the ZINC database. Ten hit compounds were selected from the hit compounds, and five compounds were tested experimentally. Thus, these results may provide valuable information for further discovery of more novel ROCK1 inhibitors.

Cite this article as:

Chen Haining, Li Sijia, Hu Yajiao, Chen Guo, Jiang Qinglin, Tong Rongsheng, Zang Zhihe and Cai Lulu, An Integrated In Silico Method to Discover Novel Rock1 Inhibitors: Multi- Complex-Based Pharmacophore, Molecular Dynamics Simulation and Hybrid Protocol Virtual Screening, Combinatorial Chemistry & High Throughput Screening 2016; 19 (1) . https://dx.doi.org/10.2174/1386207319666151203001946

DOI https://dx.doi.org/10.2174/1386207319666151203001946	Print ISSN 1386-2073
Publisher Name Bentham Science Publisher	Online ISSN 1875-5402