SARS-CoV protease inhibitors design using virtual screening method from natural products libraries

Journal of Computational Chemistry

Volumn 26, Issue 5, 2005, Pages 484-490

  Liu, Bing ^a,b   Zhou, Jiaju ^a  

^a INSTITUTE OF PROCESS ENGINEERING   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Marine natural products; Molecular docking; SARS; Traditional chinese medicines; Virtual screening

Indexed keywords

DATABASE SYSTEMS; DRUG PRODUCTS; HYDROGEN BONDS; HYDROPHOBICITY; MEDICINE; VIRTUAL REALITY; VIRUSES;

MARINE NATURAL PRODUCTS; MOLECULAR DOCKING; SEVERE ACUTE RESPIRATORY SYNDROME (SARS); TRADITIONAL CHINESE MEDICINES; VIRTUAL SCREENING;

DISEASES;

3C LIKE PROTEASE, SARS CORONAVIRUS; 3C-LIKE PROTEASE, SARS CORONAVIRUS; BIOLOGICAL PRODUCT; CYSTEINE PROTEINASE; PROTEINASE; PROTEINASE INHIBITOR; VIRUS PROTEIN;

ALGORITHM; ARTICLE; CHEMICAL STRUCTURE; CHEMISTRY; CHINESE MEDICINE; COMBINATORIAL CHEMISTRY; CONFORMATION; DRUG ANTAGONISM; DRUG DESIGN; DRUG SCREENING; ENZYMOLOGY; FACTUAL DATABASE; SARS CORONAVIRUS;

ALGORITHMS; BIOLOGICAL PRODUCTS; COMBINATORIAL CHEMISTRY TECHNIQUES; CYSTEINE ENDOPEPTIDASES; DATABASES, FACTUAL; DRUG DESIGN; DRUG EVALUATION, PRECLINICAL; ENDOPEPTIDASES; MEDICINE, CHINESE TRADITIONAL; MODELS, MOLECULAR; MOLECULAR CONFORMATION; MOLECULAR STRUCTURE; PROTEASE INHIBITORS; SARS VIRUS; VIRAL PROTEINS;

EID: 16244397353     PISSN: 01928651     EISSN: None     Source Type: Journal    
DOI: 10.1002/jcc.20186     Document Type: Article

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