Desenhos de estruturas químicas correlacionam-se com propriedades biológicas: MIA-QSAR


Autoria(s): Cormanich,Rodrigo A.; Nunes,Cleiton A.; Freitas,Matheus P.
Data(s)

01/01/2012

Resumo

Descriptors in multivariate image analysis applied to quantitative structure-activity relationship (MIA-QSAR) are pixels of bidimensional images of chemical structures (drawings), which were used to model the trichomonicidal activities of a series of benzimidazole derivatives. The MIA-QSAR model showed good predictive ability, with r², q² and r val. ext.² of 0.853, 0.519 and 0.778, respectively, which are comparable to the best values obtained by CoMFA e CoMSIA for the same series. A MIA-based analysis was also performed by using images of alphabetic letters with the corresponding numeric ordering as dependent variables, but no correlation was found, supporting that MIA-QSAR is not arbitrary.

Formato

text/html

Identificador

http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422012000600017

Idioma(s)

pt

Publicador

Sociedade Brasileira de Química

Fonte

Química Nova v.35 n.6 2012

Palavras-Chave #multivariate image analysis #QSAR #benzimidazole derivatives
Tipo

journal article