IN SILICO STUDY FOR INVESTIGATING AND PREDICTING THE ACTIVITIES OF 1,2,4-TRIAZOLE DERIVATIES AS POTENT ANTI-TUBERCULAR AGENTS

IN SILICO STUDY FOR INVESTIGATING AND PREDICTING THE ACTIVITIES OF 1,2,4-TRIAZOLE DERIVATIES AS POTENT ANTI-TUBERCULAR AGENTS

Abstract In silico study was carried on a dataset of 1,2,4-Triazole derivatives to investigate their activities behaviour on mycobacterium tuberculosis by utilizing Quantitative Structure-Activity Relationship (QSAR) technique. Genetic Function Algorithm (GFA) and Multiple Linear Regression Analysi...

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Bibliographic Details
Main Authors: SHOLA ELIJAH ADENIJI, Sani Uba, Adamu Uzairu
Format: Article
Language:English
Published: Universidade Federal de Viçosa (UFV) 2018-07-01
Series:The Journal of Engineering and Exact Sciences
Subjects:
Tuberculosis
1,2,4-Triazole
QSAR
Applicability domain
Y-Randomization.
Online Access:https://periodicos.ufv.br/ojs/jcec/article/view/2483

Internet

https://periodicos.ufv.br/ojs/jcec/article/view/2483

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