Silico discovery and virtual screening of multi-target inhibitors for proteins in mycobacterium tuberculosis

Combinatorial Chemistry and High Throughput Screening

Volumn 15, Issue 8, 2012, Pages 666-673

  Speck Planche, Alejandro ^a   Kleandrova, Valeria V ^b   Luan, Feng ^a,c   Cordeiro, M Natália D S ^a  

^a UNIVERSITY OF PORTO   (Portugal)

^b MOSCOW STATE UNIVERSITY OF FOOD PRODUCTION   (Russian Federation)

^c YANTAI UNIVERSITY   (China)

Author keywords

Anti TB activity; Bioinformatics; Chemoinformatics; Fragment contributions; Inhibitors; Linear discriminant analysis; Mt QSAR; Protein sequence

Indexed keywords

DNA TOPOISOMERASE (ATP HYDROLYSING) A; DNA TOPOISOMERASE (ATP HYDROLYSING) B; ENOYL ACYL CARRIER PROTEIN REDUCTASE (NADH); FIBRONECTIN; PANTOTHENATE SYNTHETASE; PEPTIDE DEFORMYLASE; PROTEIN INHIBITOR; SYNTHETASE; TUBERCULOSTATIC AGENT; UNCLASSIFIED DRUG;

ACIDITY; ARTICLE; BACTERIAL VIRULENCE; BIOINFORMATICS; CALCULATION; COMPUTER MODEL; DISCRIMINANT ANALYSIS; ELECTROPHILICITY; IC 50; MYCOBACTERIUM TUBERCULOSIS; NONHUMAN; NUCLEOPHILICITY; PRIORITY JOURNAL; PROTEIN TARGETING; QUANTITATIVE STRUCTURE ACTIVITY RELATION; VIRTUAL REALITY;

ANTITUBERCULAR AGENTS; BACTERIAL PROTEINS; COMPUTATIONAL BIOLOGY; DISCRIMINANT ANALYSIS; DRUG DESIGN; HUMANS; MYCOBACTERIUM TUBERCULOSIS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; TUBERCULOSIS;

EID: 84867275888     PISSN: 13862073     EISSN: 18755402     Source Type: Journal    
DOI: 10.2174/138620712802650487     Document Type: Article

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