IN-SILICO STUDY FOR PREDICTING THE INHIBITION CONCENTRATION OF SOME HETEROCYCLIC AND PHENYLIC COMPOUNDS AS POTENT HERBICIDES USING THE MLR - GFA APPROACH

IN-SILICO STUDY FOR PREDICTING THE INHIBITION CONCENTRATION OF SOME HETEROCYCLIC AND PHENYLIC COMPOUNDS AS POTENT HERBICIDES USING THE MLR - GFA APPROACH

The study of the quantitative structure-activity relationship (QSAR) was used in a set of data from 43 heterocyclic and phenylic inhibitor compounds in order to establish a correlation between the inhibitory concentrations of the compounds in question and their structures. The optimization method of...

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Bibliographic Details
Main Authors:	SAIDU TUKUR, GIDEON ADAMU SHALLANGWA, ADAMU UZAIRU, ABDULKADIR IBRAHIM
Format:	Article
Language:	English
Published:	Universidade Federal de Viçosa (UFV) 2019-03-01
Series:	The Journal of Engineering and Exact Sciences
Subjects:	Herbicide QSAR Multiple Linear Regression (MLR) Genetic Function Algoeithm (GFA) Applicability Domain Y- Randomization.
Online Access:	https://periodicos.ufv.br/ojs/jcec/article/view/3875

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