JOURNAL ARTICLE

Drug discovery for COVID-19 treatment based on drug targets

Ai Lin LiuGuan Hua Du

Year: 2020 Journal:   Yaoxue Xuebao Vol: 55 (6)Pages: 1073-1080

Abstract

Coronavirus disease 2019 (COVID-19), caused by the novel coronavirus (SARS-CoV-2) is treated in accordance with symptoms, which is feasible and effective However, current therapeutic drugs are ineffective against this virus The development of targeted therapeutic drugs that are based on key proteins in SARS-CoV-2 replication and pathogenesis will provide a more effective means for clinical treatment In addition, because SARS- CoV-2 is an RNA virus, which typically mutate readily, new drug development against COVID-19 will be a longterm and arduous task New approaches to drug discovery for COVID-19 treatment using molecular simulation and machine learning algorithms, and based on the key proteins in the process of SARS-CoV-2 adsorption, entry into the host cell and viral replication are discussed herein, and we briefly introduce related work in our laboratory that can provide strategies to promote the discovery of drugs with different mechanisms of action

Keywords:
Drug discovery Drug Coronavirus Coronavirus disease 2019 (COVID-19) Drug development Drug repositioning Computational biology Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Antiviral drug Viral replication Middle East respiratory syndrome coronavirus Virology Medicine Virus Disease Bioinformatics Biology Pharmacology Infectious disease (medical specialty)

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Citation History

Topics

Computational Drug Discovery Methods
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
SARS-CoV-2 and COVID-19 Research
Health Sciences →  Medicine →  Infectious Diseases
Cancer therapeutics and mechanisms
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology

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