| Literature DB >> 28712942 |
Shuofeng Yuan1, Jasper Fuk-Woo Chan2, Helena den-Haan3, Kenn Ka-Heng Chik1, Anna Jinxia Zhang1, Chris Chung-Sing Chan1, Vincent Kwok-Man Poon1, Cyril Chik-Yan Yip1, Winger Wing-Nga Mak1, Zheng Zhu1, Zijiao Zou1, Kah-Meng Tee1, Jian-Piao Cai1, Kwok-Hung Chan1, Jorge de la Peña4, Horacio Pérez-Sánchez5, José Pedro Cerón-Carrasco6, Kwok-Yung Yuen7.
Abstract
Zika virus (ZIKV) infection may be associated with severe complications in fetuses and adults, but treatment options are limited. We performed an in silico structure-based screening of a large chemical library to identify potential ZIKV NS2B-NS3 protease inhibitors. Clinically approved drugs belonging to different drug classes were selected among the 100 primary hit compounds with the highest predicted binding affinities to ZIKV NS2B-NS3-protease for validation studies. ZIKV NS2B-NS3 protease inhibitory activity was validated in most of the selected drugs and in vitro anti-ZIKV activity was identified in two of them (novobiocin and lopinavir-ritonavir). Molecular docking and molecular dynamics simulations predicted that novobiocin bound to ZIKV NS2B-NS3-protease with high stability. Dexamethasone-immunosuppressed mice with disseminated ZIKV infection and novobiocin treatment had significantly (P < 0.05) higher survival rate (100% vs 0%), lower mean blood and tissue viral loads, and less severe histopathological changes than untreated controls. This structure-based drug discovery platform should facilitate the identification of additional enzyme inhibitors of ZIKV.Entities:
Keywords: Flavivirus; Molecular modelling; Novobiocin; Protease; Treatment; Zika
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Year: 2017 PMID: 28712942 DOI: 10.1016/j.antiviral.2017.07.007
Source DB: PubMed Journal: Antiviral Res ISSN: 0166-3542 Impact factor: 5.970