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Archiv der Pharmazie

Volumn 348, Issue 1, 2015, Pages 62-67

Monte Carlo method-based QSAR modeling of penicillins binding to human serum proteins

(5) Veselinović, Jovana B a Toropov, Andrey A b Toropova, Alla P b Nikolić, Goran M a Veselinović, Aleksandar M a

a UNIVERSITY OF NI (Serbia)

b MARIO NEGRI INSTITUTE FOR PHARMACOLOGICAL RESEARCH (Italy)

Author keywords

CORAL software; Monte Carlo method; Penicillins; QSAR; SMILES

Indexed keywords

PENICILLIN DERIVATIVE; PLASMA PROTEIN; ANTIINFECTIVE AGENT; PROTEIN BINDING;

ANALYTICAL PARAMETERS; ARTICLE; BLOOD LEVEL; COMPUTER AIDED DESIGN; DRUG BINDING; MOLECULAR MODEL; MONTE CARLO METHOD; PLASMA PROTEIN BINDING; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; QUANTITATIVE STRUCTURE PROPERTY RELATION; SIMPLIFIED MOLECULAR INPUT LINE ENTRY SYSTEM; BINDING SITE; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER SIMULATION; HUMAN; METABOLISM; PROTEIN CONFORMATION;

ANTI-BACTERIAL AGENTS; BINDING SITES; BLOOD PROTEINS; COMPUTER SIMULATION; HUMANS; MOLECULAR STRUCTURE; MONTE CARLO METHOD; PENICILLINS; PROTEIN BINDING; PROTEIN CONFORMATION; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84920732465 PISSN: 03656233 EISSN: 15214184 Source Type: Journal
DOI: 10.1002/ardp.201400259 Document Type: Article

Times cited : (24)

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