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....

Celý popis

Uloženo v:
Podrobná bibliografie
Hlavní autor: Diéguez Santana, Karel (author)
Další autoři: Puris, Amilkar (author), Rivera Borroto, Oscar M (author), Casanola Martin, Gerardo M (author), Rasulev, Bakhtiyor (author), González Díaz, Humberto (author)
Médium: article
Vydáno: 2022
Témata:
Anti-diabetic agents
FURIA-C
LDA
QSAR
Induction rule
Machine learning techniques
On-line přístup:https://doi.org/10.2174/1573409918666220929124820
http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/637
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Podobné jednotky

Podobné jednotky