| Literature DB >> 28214932 |
Fabian E Olazarán1, Carlos A García-Pérez2, Debasish Bandyopadhyay3, Isaias Balderas-Rentería1, Angel D Reyes-Figueroa4, Lars Henschke5, Gildardo Rivera6.
Abstract
In this work, through a docking analysis of compounds from the ZINC chemical library on human β-tubulin using high performance computer cluster, we report new polycyclic aromatic compounds that bind with high energy on the colchicine binding site of β-tubulin, suggesting three new key amino acids. However, molecular dynamic analysis showed low stability in the interaction between ligand and receptor. Results were confirmed experimentally in in vitro and in vivo models that suggest that molecular dynamics simulation is the best option to find new potential β-tubulin inhibitors. Graphical abstract Bennett's acceptance ratio (BAR) method.Entities:
Keywords: Anticancer; Colchicine; Inhibitors; Virtual screening; β-Tubulin
Mesh:
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Year: 2017 PMID: 28214932 DOI: 10.1007/s00894-017-3256-5
Source DB: PubMed Journal: J Mol Model ISSN: 0948-5023 Impact factor: 1.810