QSAR models for anti-malarial activity of 4-aminoquinolines

Current Computer-Aided Drug Design

Volumn 10, Issue 1, 2014, Pages 75-82

  Masand, Vijay H ^a   Toropov, Andrey A ^b   Toropova, Alla P ^b   Mahajan, Devidas T ^a  

^a Vidya Bharati College   (India)

^b MARIO NEGRI INSTITUTE FOR PHARMACOLOGICAL RESEARCH   (Italy)

Author keywords

4 aminoquinolines; Anti malarial activity; Coral software; Optimal descriptor; QSAR

Indexed keywords

MOLECULAR GRAPHICS;

4-AMINOQUINOLINE; AMINOQUINOLINE; ANTI MALARIAL ACTIVITIES; CORAL SOFTWARES; DESCRIPTORS; OPTIMAL DESCRIPTOR; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIPS ANALYSIS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP MODELING; STATISTICAL QUALITY;

COMPUTATIONAL CHEMISTRY;

4 AMINOQUINOLINE DERIVATIVE; AMINOQUINOLINE DERIVATIVE; ANTIMALARIAL AGENT;

ANTIMALARIAL ACTIVITY; ARTICLE; CHEMICAL STRUCTURE; COMPUTER PROGRAM; EXPERIMENTAL MODEL; METHODOLOGY; MULTIPLE LINEAR REGRESSION ANALYSIS; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SIMULATION; VALIDATION STUDY; ALGORITHM; ARTIFICIAL INTELLIGENCE; CHEMISTRY; DRUG DESIGN; REPRODUCIBILITY; STATISTICAL MODEL;

ALGORITHMS; AMINOQUINOLINES; ANTIMALARIALS; ARTIFICIAL INTELLIGENCE; DRUG DESIGN; MODELS, STATISTICAL; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; REPRODUCIBILITY OF RESULTS;

EID: 84901200548     PISSN: 15734099     EISSN: 18756697     Source Type: Journal    
DOI: 10.2174/1573409910666140303114621     Document Type: Article

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