A Two QSAR Way for Antidiabetic Agents Targeting Using α-Amylase and α-Glucosidase Inhibitors: Model Parameters Settings in Artificial Intelligence Techniques-Reference-Cited by-同舟云学术

A Two QSAR Way for Antidiabetic Agents Targeting Using α-Amylase and α-Glucosidase Inhibitors: Model Parameters Settings in Artificial Intelligence Techniques

Published:2017-07-20 Issue:8 Volume:14 Page:
ISSN:1570-1808
Container-title:Letters in Drug Design & Discovery
language:en
Short-container-title:LDDD

Author:

Dieguez-Santana Karel¹,Pham-The Hai²,Rivera-Borroto Oscar M.³,Puris Amilkar⁴,Le-Thi-Thu Huong⁵,Casanola-Martin Gerardo M.⁶

Affiliation:

1. Faculty of Life Sciences, Amazonian State University, Paso Lateral km 2½ via Tena, Puyo, Pastaza, Ecuador

2. Hanoi University of Pharmacy, 13-15 Le Thanh Tong, Hanoi, Vietnam

3. Departamento de Química Física Aplicada, Facultad de Ciencias, Universidad Autónoma de Madrid, 28049 Madrid, Spain

4. Facultad de Ciencias de La Ingeniería, Universidad Técnica Estatal de Quevedo, Ecuador

5. School of Medicine and Pharmacy, Vietnam National University, Hanoi (VNU) 144 Xuan Thuy, Cau Giay, Hanoi, Vietnam

6. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada

Publisher

Bentham Science Publishers Ltd.

Subject

Drug Discovery,Pharmaceutical Science,Molecular Medicine

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence in antidiabetic drug discovery: The advances in QSAR and the prediction of α-glucosidase inhibitors;Computational and Structural Biotechnology Journal;2024-12

2. Finding structural requirements of structurally diverse α-glucosidase and α-amylase inhibitors through validated and predictive 2D-QSAR and 3D-QSAR analyses;Journal of Molecular Graphics and Modelling;2024-01

3. Chemical Profile and Biological Activities of Fungal Strains Isolated from Piper nigrum Roots: Experimental and Computational Approaches;Chemistry & Biodiversity;2023-01-12

4. A Fuzzy System Classification Approach for QSAR Modeling of α- Amylase and α-Glucosidase Inhibitors;Current Computer-Aided Drug Design;2022-12

5. Prediction of acute toxicity of pesticides for Americamysis bahia using linear and nonlinear QSTR modelling approaches;Environmental Research;2022-11