THEORETICAL MODELLING FOR INVESTIGATING SOME ACTIVE COMPOUNDS AS POTENT INHIBITORS AGAINST LUNG CANCER: A MULTI-LINEAR REGRESSION APPROACH

THEORETICAL MODELLING FOR INVESTIGATING SOME ACTIVE COMPOUNDS AS POTENT INHIBITORS AGAINST LUNG CANCER: A MULTI-LINEAR REGRESSION APPROACH

A Quantitative Structure Activity Relationship (QSAR) study has been attempted on ciprofloxacin derivatives as potent anti-lung cancer. QSAR models were derived with the aid of multi-linear regression (MLR) approach using topological, molecular shape, electronic and structural descriptors. The predi...

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Bibliographic Details
Main Authors:	Shola Elijah Adeniji, Momohjimoh Idris Ovaku, Tukur Saidu, Ahanonu Saviour Ugochukwu, Gideon Shallangwa, Adamu Uzairu
Format:	Article
Language:	English
Published:	Universidade Federal de Viçosa (UFV) 2019-03-01
Series:	The Journal of Engineering and Exact Sciences
Subjects:	Ciprofloxacin, Descriptor, Genetic Function Approximation, Lung Cancer, QSAR.
Online Access:	https://periodicos.ufv.br/ojs/jcec/article/view/2509

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