Binding selectivity analysis of AURKs inhibitors through molecular dynamics simulation studies.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 05 10 2023
accepted: 29 11 2023
medline: 19 12 2023
pubmed: 19 12 2023
entrez: 19 12 2023
Statut: epublish

Résumé

Aurora kinases (AURKs) have been identified as promising biological targets for the treatment of cancer. In this study, molecular dynamics simulations were employed to investigate the binding selectivity of three inhibitors (HPM, MPY, and VX6) towards AURKA and AURKB by predicting their binding free energies. The results show that the inhibitors HPM, MPY, and VX6 have more favorable interactions with AURKB as compared to AURKA. The binding energy decomposition analysis revealed that four common residue pairs (L139, L83), (V147, V91), (L210, L154), and (L263, L207) showed significant binding energies with HPM, MPY, and VX6, hence responsible for the binding selectivity of AURKA and AURKB to the inhibitors. The MD trajectory analysis also revealed that the inhibitors affect the dynamic flexibility of protein structure, which is also responsible for the partial selectivity of HPM, MPY, and VX6 towards AURKA and AURKB. As expected, this study provides useful insights for the design of potential inhibitors with high selectivity for AURKA and AURKB.

Identifiants

pubmed: 38113210
doi: 10.1371/journal.pone.0295741
pii: PONE-D-23-32414
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0295741

Informations de copyright

Copyright: © 2023 Alharthy et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors declare there are no competing interests.

Auteurs

Rima D Alharthy (RD)

Department of Chemistry, Science and Arts College, King Abdulaziz University, Jeddah, Saudi Arabia.

Ghulam Fatima (G)

Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.

Numan Yousaf (N)

Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.

Muhammad Shaheen Iqbal (MS)

Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.

Sadia Sattar (S)

Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.

Abdullah R Alanzi (AR)

Department of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.

Ijaz Ali (I)

Centre for Applied Mathematics and Bioinformatics (CAMB), Gulf University for Science and Technology, Hawally, Kuwait.

Muhammad Muddassar (M)

Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan.

Classifications MeSH