A Fuzzy System Classification Approach for QSAR Modeling of α- Amylase and α-Glucosidase Inhibitors

A Fuzzy System Classification Approach for QSAR Modeling of α- Amylase and α-Glucosidase Inhibitors

Introduction This report proposes the application of a new Machine Learning algorithm called Fuzzy Unordered Rules Induction Algorithm (FURIA)-C in the classification of drug-like compounds with antidiabetic inhibitory ability toward the main two pharmacological targets: α-amylase and α-glucosidase....

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Bibliographic Details
Main Author: Diéguez Santana, Karel (author)
Other Authors: Puris, Amilkar (author), Rivera Borroto, Oscar M (author), Casanola Martin, Gerardo M (author), Rasulev, Bakhtiyor (author), González Díaz, Humberto (author)
Format: article
Published: 2022
Subjects:
Anti-diabetic agents
FURIA-C
LDA
QSAR
Induction rule
Machine learning techniques
Online Access:https://doi.org/10.2174/1573409918666220929124820
http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/637
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https://doi.org/10.2174/1573409918666220929124820
http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/637

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