Literature DB >> 25669324

Binding pattern analysis and structural insight into the inhibition mechanism of Sterol 24-C methyltransferase by docking and molecular dynamics approach.

Syed Sikander Azam1, Asma Abro1, Saad Raza1.   

Abstract

Sterol 24-C methyltransferase (SMT) plays a major role during the production of steroids, especially in the biosynthesis of ergosterol, which is the major membrane sterol in leishmania parasite, and the etiological basis of leishmaniasis. Mechanism-based inactivators bind irreversibly to SMT and interfere with its activity to provide leads for the design of antileishmanial inhibitors. In this study, computational methods are used for studying enzyme-inhibitor interactions. fifty-seven mechanism-based inactivators are docked using 3 docking/scoring approaches (FRED, GoldScore, and ChemScore). A consensus is generated from the results of different scoring functions which are also validated with already reported experimental values. The most active compound thus obtained is subjected to molecular dynamics simulation of length 20 ns. Stability of simulation is analyzed through root-mean-square deviation, beta factor (B-factor), and radius of gyration (Rg). Hydrogen bonds and their involvement in the structural stability of the enzyme are evaluated through radial distribution function. Newly developed application of axial frequency distribution that determines three-particle correlation on frequency distributions before and after simulation has provided a clear evidence for the movement of the inhibitor into active pocket of the enzyme. Results yielded strong interaction between enzyme and the inhibitor throughout the simulation. Binding of the inhibitor with enzyme has stabilized the enzyme structure; thus, the inhibitor has the potential to become a lead compound.

Entities:  

Keywords:  axial frequency distribution; lead discovery; leishmania; radial distribution function; scoring function

Mesh:

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Year:  2015        PMID: 25669324     DOI: 10.1080/07391102.2014.1002423

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  2 in total

1.  AFD: an application for bi-molecular interaction using axial frequency distribution.

Authors:  Saad Raza; Syed Sikander Azam
Journal:  J Mol Model       Date:  2018-03-06       Impact factor: 1.810

2.  Virtual Screening and Hit Selection of Natural Compounds as Acetylcholinesterase Inhibitors.

Authors:  Mariyana Atanasova; Ivan Dimitrov; Stefan Ivanov; Borislav Georgiev; Strahil Berkov; Dimitrina Zheleva-Dimitrova; Irini Doytchinova
Journal:  Molecules       Date:  2022-05-13       Impact factor: 4.927

  2 in total

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