Literature DB >> 30607314

In silico quest of selective naphthyl-based CREBBP bromodomain inhibitor.

Raju Dash1,2, Sarmistha Mitra3, Md Arifuzzaman2, S M Zahid Hosen1.   

Abstract

The reader proteins like bromodomains have recently gained increased attentions in the area of epigenetic drug discovery, as they are the potent regulators in gene transcription process. Among the other bromodomains, cAMP response element-binding protein (CREB) binding protein or CREBBP bomodomain involved in various cancer progressions and therefore, efforts to develop specific inhibitors of CREBBP bomodomain are of clinical value. In this study, we tried to identify selective CREBBP bromodomain inhibitor, which was accomplished by using molecular docking, free energy calculation and molecular dynamics (MD) simulation studies, considering a series of naphthyl based compounds. The docking procedure was validated by comparing root mean square deviations (RMSDs) of crystallographic complex to docked complex. Favorable electrostatic interactions with the Arg1173 side chain were considered to attain selectivity for CREBBP bromodomain over other human bromodomain subfamilies. We found that naphthyl-based compounds have greater binding affinities towards the CREBBP bromodomain, and formed non-bonded interactions with various side chain residues that are important for bromodomain inhibition. From detailed investigation by induced fit docking, compound 31 was found to have favorable electrostatic interactions with the Arg1173 side chain by forming conventional hydrogen bonds. This result was further confirmed by analyzing hydrogen bond occupancy and bonding distance during the molecular dynamics simulation. We believe that these findings offer useful insight for the designing of target specific new bromodomain inhibitor and also promote further structure guided synthesis of analogues for identification of potent CREBBP bromodomain inhibitors as well as detailed in vitro and in vivo analyses.

Entities:  

Keywords:  Bromodomain; CREBBP; In silico; Selectivity

Year:  2018        PMID: 30607314      PMCID: PMC6314632          DOI: 10.1007/s40203-018-0038-4

Source DB:  PubMed          Journal:  In Silico Pharmacol        ISSN: 2193-9616


  2 in total

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Journal:  Mar Drugs       Date:  2019-11-13       Impact factor: 5.118

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  2 in total

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