In Silico studies most employed in the discovery of new antimicrobial agents

Current Medicinal Chemistry

Volumn 23, Issue 29, 2016, Pages 3360-3373

  Tamay Cach, F ^a   Villa Tanaca, M L ^a   Trujillo Ferrara, J G ^a   Aleman Gonzalez Duhart D ^a   Quintana Perez J C ^a   Gonzalez Ramirez I A ^a   Correa Basurto, J ^a  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

Antimicrobial agents; Docking simulation; Molecular dynamics simulations; Mt QSAR; Mtk QSBER; QSAR; Virtual screening

Indexed keywords

ANTIINFECTIVE AGENT; NEW DRUG; INTEGRASE; P31 INTEGRASE PROTEIN, HUMAN IMMUNODEFICIENCY VIRUS 1;

ANTIBIOTIC RESISTANCE; COMBINATORIAL LIBRARY; COMPUTER MODEL; DRUG DESIGN; DRUG EFFICACY; DRUG SCREENING; MOLECULAR DOCKING; MOLECULAR DYNAMICS; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REVIEW; STATIC ELECTRICITY; ANIMAL; BINDING SITE; CHEMISTRY; DRUG DEVELOPMENT; DRUG EFFECTS; HUMAN; METABOLISM; PROTEIN TERTIARY STRUCTURE;

ANIMALS; ANTI-INFECTIVE AGENTS; BINDING SITES; DRUG DISCOVERY; DRUG RESISTANCE, BACTERIAL; HIV INTEGRASE; HUMANS; MOLECULAR DOCKING SIMULATION; MOLECULAR DYNAMICS SIMULATION; PROTEIN STRUCTURE, TERTIARY; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84996542258     PISSN: 09298673     EISSN: 1875533X     Source Type: Journal    
DOI: 10.2174/0929867323666160210141912     Document Type: Review

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