MIA-QSAR modelling of activities of a series of AZT analogues: Bi- and multilinear PLS regression

Molecular Simulation

Volumn 36, Issue 4, 2010, Pages 267-272

  Goodarzi, Mohammad ^a   De Freitas, Matheus Puggina ^b  

^a INSTITUTO DE INVESTIGACIONES FISICOQUÍMICAS TEÓRICAS Y APLICADAS INIFTA   (Argentina)

^b FEDERAL UNIVERSITY OF LAVRAS   (Brazil)

Author keywords

AZT analogues; HIV; MIA QSAR; N PLS; PLS

Indexed keywords

ANTI-HIV; DATA SETS; MULTIPLE LINEAR REGRESSIONS; MULTIVARIATE IMAGE ANALYSIS; PARTIAL LEAST SQUARES; PHYSICO-CHEMICAL DESCRIPTORS; PLS REGRESSION; PREDICTIVE ABILITIES; QSAR MODEL; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; REGRESSION METHOD; THREE-WAY ARRAYS;

IMAGE ANALYSIS; LINEAR REGRESSION; MOLECULAR GRAPHICS; MULTIVARIANT ANALYSIS; SULFUR COMPOUNDS;

VIRUSES;

EID: 77949480630     PISSN: 08927022     EISSN: 10290435     Source Type: Journal    
DOI: 10.1080/08927020903278001     Document Type: Article

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