Computational modelling of the antischistosomal activity for neolignan derivatives based on the MIA-SAR approach

SAR and QSAR in Environmental Research

Volumn 26, Issue 3, 2015, Pages 205-216

  Duarte, M H ^a   Barigye, S J ^a   da Mota, E G ^a   Freitas, M P ^a  

^a FEDERAL UNIVERSITY OF LAVRAS   (Brazil)

Author keywords

HCA; MIA SAR; PCA; PLS DA; Schistosoma mansoni

Indexed keywords

BINARY IMAGES; CHEMICAL BONDS; ELECTRONEGATIVITY; MULTIVARIANT ANALYSIS; SCAFFOLDS; VAN DER WAALS FORCES;

COLORED IMAGES; HCA; MULTIVARIATE IMAGE ANALYSE APPLIED TO STRUCTURE–ACTIVITY RELATIONSHIP; MULTIVARIATE IMAGE ANALYSIS; NEOLIGNAN; PCA; PIXEL VALUES; PLS-DA; SCHISTOSOMA MANSONI; STRUCTURE-ACTIVITY RELATIONSHIPS;

PIXELS;

SCHISTOSOMA MANSONI;

ANTISCHISTOSOMAL AGENT; LIGNAN;

ANIMAL; BIOLOGICAL MODEL; CHEMISTRY; COMPUTER SIMULATION; DRUG EFFECTS; MULTIVARIATE ANALYSIS; PARASITOLOGY; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RAT; RODENT DISEASES; SCHISTOSOMA MANSONI; SCHISTOSOMIASIS MANSONI; VETERINARY;

ANIMALS; COMPUTER SIMULATION; LIGNANS; MODELS, BIOLOGICAL; MULTIVARIATE ANALYSIS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; RATS; RODENT DISEASES; SCHISTOSOMA MANSONI; SCHISTOSOMIASIS MANSONI; SCHISTOSOMICIDES;

EID: 84925269324     PISSN: 1062936X     EISSN: 1029046X     Source Type: Journal    
DOI: 10.1080/1062936X.2015.1018942     Document Type: Article

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