Exploring the potential of direct-acting antivirals against Chikungunya virus through structure-based drug repositioning and molecular dynamic simulations

IF 7 2区 医学 Q1 BIOLOGY
Nida Kalam , Rafat Ali , Vinod RMT Balasubramaniam
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引用次数: 0

Abstract

The Chikungunya virus (CHIKV) represents a significant global health threat, particularly in tropical regions, and no FDA-approved antiviral treatments are currently available. This study investigates the potential of Direct-Acting Antivirals (DAAs) and protease inhibitors (PIs) that have been developed for the hepatitis C virus (HCV) in treating CHIKV. We analyzed the binding of eight HCV DAAs to the nsP2 protease of CHIKV, which is essential for viral replication. Our findings suggest repurposing hepatitis C virus (HCV) antivirals, specifically Simeprevir (SIM) and voxilaprevir (VOX), could be effective against CHIKV. Through computational analyses, we observed their strong binding affinity to CHIKV's nsP2 protease, indicating the promising potential of repositioning these drugs for CHIKV treatment. To validate the results of our computational study, we evaluated the antiviral efficacy of SIM and VOX in vitro, both as monotherapies and in combination with ribavirin (RIBA). Our findings revealed that DAAs exert a multifaced effect by targeting different stages of the CHIKV life cycle. Furthermore, the synergistic effects suggest that combining SIM and VOX with RIBA may provide a more effective therapeutic strategy than using either drug alone. Further research is necessary to optimize treatment protocols and improve outcomes for patients affected by CHIKV.

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来源期刊
Computers in biology and medicine
Computers in biology and medicine 工程技术-工程:生物医学
CiteScore
11.70
自引率
10.40%
发文量
1086
审稿时长
74 days
期刊介绍: Computers in Biology and Medicine is an international forum for sharing groundbreaking advancements in the use of computers in bioscience and medicine. This journal serves as a medium for communicating essential research, instruction, ideas, and information regarding the rapidly evolving field of computer applications in these domains. By encouraging the exchange of knowledge, we aim to facilitate progress and innovation in the utilization of computers in biology and medicine.
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