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Drug discovery for COVID-19 treatment based on drug targets
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Ai-lin LIU*, Guan-hua DU*
Acta Pharmaceutica Sinica | 2020, 55(6) : 1073 - 1080
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Acta Pharmaceutica Sinica | 2020, 55(6): 1073-1080
Anti Novel Coronavirus Drugs Researchs
Drug discovery for COVID-19 treatment based on drug targets
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Ai-lin LIU*, Guan-hua DU*
Affiliations
  • Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
Published: 2020-06-12 doi: 10.16438/j.0513-4870.2020-0319
Outline
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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 long-term 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.

novel coronavirus  /  novel coronavirus disease  /  drug target  /  drug discovery  /  molecular simulation  /  machine learning
Ai-lin LIU, Guan-hua DU. Drug discovery for COVID-19 treatment based on drug targets[J]. Acta Pharmaceutica Sinica, 2020 , 55 (6) : 1073 -1080 . DOI: 10.16438/j.0513-4870.2020-0319
Year 2020 volume 55 Issue 6
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Article Info
doi: 10.16438/j.0513-4870.2020-0319
  • Receive Date:2020-03-13
  • Online Date:2026-01-21
  • Published:2020-06-12
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  • Received:2020-03-13
  • Revised:2020-04-17
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    Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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