Literature DB >> 29197725

Exploring the selectivity of inhibitor complexes with Bcl-2 and Bcl-XL: A molecular dynamics simulation approach.

Naoki Wakui1, Ryunosuke Yoshino2, Nobuaki Yasuo3, Masahito Ohue4, Masakazu Sekijima5.   

Abstract

B-cell lymphoma 2 (Bcl-2) family proteins are potential drug targets in cancer and have a relatively flat and flexible binding site. ABT-199 is one of the most promising selective Bcl-2 inhibitors, and A-1155463 selectively inhibits Bcl-XL. Although the amino acid sequences of the binding sites of these two inhibitors are similar, the inhibitors selectively bind the target protein. In order to determine the origin of the selectivity of these inhibitors, we conducted molecular dynamics simulations using protein-inhibitor modeling. We confirmed that ASP103 of Bcl-2 is a key residue and that hydrogen bonding between ASP103 and ABT-199 confers the Bcl-2 selectivity of this inhibitor. For Bcl-XL selectivity, the secondary structure of α-helix 3 is a key factor. PHE105, SER106, and LEU108 in the loose α-helix 3 interact with A-1155463 to confer Bcl-XL selectivity. These findings provide important insights into the molecular mechanisms of selective inhibitors of Bcl-2 family proteins.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bcl-2; Bcl-2 family; Bcl-XL; Molecular dynamics; Selective inhibitors

Mesh:

Substances:

Year:  2017        PMID: 29197725     DOI: 10.1016/j.jmgm.2017.11.011

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  6 in total

1.  Identification of molecular features necessary for selective inhibition of B cell lymphoma proteins using machine learning techniques.

Authors:  Ahmad Mani-Varnosfaderani; Marzieh Sadat Neiband; Ali Benvidi
Journal:  Mol Divers       Date:  2018-07-12       Impact factor: 2.943

2.  Computational insights of K1444N substitution in GAP-related domain of NF1 gene associated with neurofibromatosis type 1 disease: a molecular modeling and dynamics approach.

Authors:  Ashish Kumar Agrahari; Meghana Muskan; C George Priya Doss; R Siva; Hatem Zayed
Journal:  Metab Brain Dis       Date:  2018-05-27       Impact factor: 3.584

3.  Structure-Based Virtual Screening, Molecular Docking, and Molecular Dynamics Simulation of VEGF inhibitors for the clinical treatment of Ovarian Cancer.

Authors:  Sourav Mukherjee; Mohnad Abdalla; Manasi Yadav; Maddala Madhavi; Anushka Bhrdwaj; Ravina Khandelwal; Leena Prajapati; Aravind Panicker; Aashish Chaudhary; Ashraf Albrakati; Tajamul Hussain; Anuraj Nayarisseri; Sanjeev Kumar Singh
Journal:  J Mol Model       Date:  2022-03-24       Impact factor: 1.810

4.  Screening possible drug molecules for Covid-19. The example of vanadium (III/IV/V) complex molecules with computational chemistry and molecular docking.

Authors:  Manos C Vlasiou; Kyriaki S Pafti
Journal:  Comput Toxicol       Date:  2021-01-30

5.  Molecular Docking Study of Naturally Derived Flavonoids with Antiapoptotic BCL-2 and BCL-XL Proteins toward Ovarian Cancer Treatment.

Authors:  Mohd Faiz Abd Ghani; Rozana Othman; Noraziah Nordin
Journal:  J Pharm Bioallied Sci       Date:  2020-11-05

6.  Alpha-Tocotrienol Prevents Oxidative Stress-Mediated Post-Translational Cleavage of Bcl-xL in Primary Hippocampal Neurons.

Authors:  Han-A Park; Nelli Mnatsakanyan; Katheryn Broman; Abigail U Davis; Jordan May; Pawel Licznerski; Kristi M Crowe-White; Kimberly H Lackey; Elizabeth A Jonas
Journal:  Int J Mol Sci       Date:  2019-12-28       Impact factor: 5.923

  6 in total

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