Quantifying the Evolutionary Constraints and Potential of Hepatitis C Virus NS5A Protein

Author:

Dai Lei12,Du Yushen34ORCID,Qi Hangfei4,Huber Christian D.2,Chen Dongdong3,Zhang Tian-Hao4,Wu Nicholas C.5,Wang Ergang4,Lloyd-Smith James O.2,Sun Ren3

Affiliation:

1. CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

2. Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, California, USA

3. Cancer Institute, ZJU-UCLA Joint Center for Medical Education and Research, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China

4. Department of Molecular and Medical Pharmacology, University of California Los Angeles, Los Angeles, California, USA

5. Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA

Abstract

Many viruses adapt rapidly to novel selection pressures, such as antiviral drugs. Understanding how pathogens evolve under drug selection is critical for the success of antiviral therapy against human pathogens.

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modelling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mutational fitness landscape and drug resistance;Current Opinion in Structural Biology;2023-02

2. Biophysical Fitness Landscape of the SARS-CoV-2 Delta Variant Receptor Binding Domain;Journal of Molecular Biology;2022-07

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