Literature DB >> 25622129

Identification of chikungunya virus nsP2 protease inhibitors using structure-base approaches.

Phuong T V Nguyen1, Haibo Yu2, Paul A Keller3.   

Abstract

The nsP2 protease of chikungunya virus (CHIKV) is one of the essential components of viral replication and it plays a crucial role in the cleavage of polyprotein precursors for the viral replication process. Therefore, it is gaining attention as a potential drug design target against CHIKV. Based on the recently determined crystal structure of the nsP2 protease of CHIKV, this study identified potential inhibitors of the virus using structure-based approaches with a combination of molecular docking, virtual screening and molecular dynamics (MD) simulations. The top hit compounds from database searching, using the NCI Diversity Set II, with targeting at five potential binding sites of the nsP2 protease, were identified by blind dockings and focused dockings. These complexes were then subjected to MD simulations to investigate the stability and flexibility of the complexes and to gain a more detailed insight into the interactions between the compounds and the enzyme. The hydrogen bonds and hydrophobic contacts were characterized for the complexes. Through structural alignment, the catalytic residues Cys1013 and His1083 were identified in the N-terminal region of the nsP2 protease. The absolute binding free energies were estimated by the linear interaction energy approach and compared with the binding affinities predicted with docking. The results provide valuable information for the development of inhibitors for CHIKV. Crown
Copyright © 2015. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chikungunya virus; Molecular docking; Molecular dynamics simulations; Nsp2 protease; Structure-based approaches; Virtual screening

Mesh:

Substances:

Year:  2015        PMID: 25622129     DOI: 10.1016/j.jmgm.2015.01.001

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


  16 in total

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Review 2.  A review on structural genomics approach applied for drug discovery against three vector-borne viral diseases: Dengue, Chikungunya and Zika.

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3.  Structural insights into the inhibition of the nsP2 protease from Chikungunya virus by molecular modeling approaches.

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Journal:  J Mol Model       Date:  2022-09-12       Impact factor: 2.172

4.  MBZM-N-IBT, a Novel Small Molecule, Restricts Chikungunya Virus Infection by Targeting nsP2 Protease Activity In Vitro, In Vivo, and Ex Vivo.

Authors:  Soumyajit Ghosh; Supriya Suman Keshry; Bharat Bhusan Subudhi; Soma Chattopadhyay; Saikat De; Chandan Mahish; Chinmayee Mohapatra; Ankeeta Guru; Prabhudutta Mamidi; Ankita Datey; Sweta Smita Pani; Dileep Vasudevan; Tushar Kant Beuria; Subhasis Chattopadhyay
Journal:  Antimicrob Agents Chemother       Date:  2022-06-29       Impact factor: 5.938

Review 5.  Nonstructural Proteins of Alphavirus-Potential Targets for Drug Development.

Authors:  Farhana Abu Bakar; Lisa F P Ng
Journal:  Viruses       Date:  2018-02-09       Impact factor: 5.048

Review 6.  The Interplay of Viral and Host Factors in Chikungunya Virus Infection: Targets for Antiviral Strategies.

Authors:  Kai Zhi Wong; Justin Jang Hann Chu
Journal:  Viruses       Date:  2018-05-30       Impact factor: 5.048

Review 7.  Small Molecule Inhibitors Targeting Chikungunya Virus.

Authors:  Nicole Haese; John Powers; Daniel N Streblow
Journal:  Curr Top Microbiol Immunol       Date:  2022       Impact factor: 4.737

8.  Molecular Modeling and Docking Study to Elucidate Novel Chikungunya Virus nsP2 Protease Inhibitors.

Authors:  T Agarwal; Somya Asthana; A Bissoyi
Journal:  Indian J Pharm Sci       Date:  2015 Jul-Aug       Impact factor: 0.975

9.  Deciphering the dark proteome of Chikungunya virus.

Authors:  Ankur Singh; Ankur Kumar; Rakhi Yadav; Vladimir N Uversky; Rajanish Giri
Journal:  Sci Rep       Date:  2018-04-11       Impact factor: 4.379

Review 10.  Current Strategies for Inhibition of Chikungunya Infection.

Authors:  Bharat Bhusan Subudhi; Soma Chattopadhyay; Priyadarsee Mishra; Abhishek Kumar
Journal:  Viruses       Date:  2018-05-03       Impact factor: 5.048

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