A QSAR model for predicting antidiabetic activity of dipeptidyl peptidase-IV inhibitors by enhanced binary gravitational search algorithm-Reference-Cited by-同舟云学术

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A QSAR model for predicting antidiabetic activity of dipeptidyl peptidase-IV inhibitors by enhanced binary gravitational search algorithm

Published:2019-05-24 Issue:6 Volume:30 Page:403-416
ISSN:1062-936X
Container-title:SAR and QSAR in Environmental Research
language:en
Short-container-title:SAR and QSAR in Environmental Research

Author:

Al-Fakih A.M.¹²,Algamal Z.Y.³^ORCID,Lee M.H.⁴^ORCID,Aziz M.¹⁵,Ali H.T.M.⁶

Affiliation:

1. Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, Johor, Malaysia

2. Department of Chemistry, Faculty of Science, Sana’a University, Sana’a, Yemen

3. Department of Statistics and Informatics, University of Mosul, Mosul, Iraq

4. Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia, Johor, Malaysia

5. Advanced Membrane Technology Centre, Universiti Teknologi Malaysia, Johor, Malaysia

6. College of Computers and Information Technology, Nawroz University, Kurdistan region, Iraq

Funder

Universiti Teknologi Malaysia

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2019.1607899

Reference37 articles.

1. Design, Synthesis and in Vivo Evaluation of Novel Glycosylated Sulfonylureas as Antihyperglycemic Agents

2. Synthesis and Biological Evaluation of Xanthine Derivatives on Dipeptidyl Peptidase 4

3. Global and societal implications of the diabetes epidemic

4. CoMFA and CoMSIA studies onC-aryl glucoside SGLT2 inhibitors as potential anti-diabetic agents

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2. Fragment-based QSAR study to explore the structural requirements of DPP-4 inhibitors: a stepping stone towards better type 2 diabetes mellitus management;SAR and QSAR in Environmental Research;2024-06-02

3. Optimized Load Frequency Controller Performances With a Reduced Number of Decision Variables: A Gravitational Search Algorithm-Based Method;IEEE Systems, Man, and Cybernetics Magazine;2023-01

4. Virtual screening of dipeptidyl peptidase-4 inhibitors using quantitative structure–activity relationship-based artificial intelligence and molecular docking of hit compounds;Computational Biology and Chemistry;2021-12

5. A modified binary particle swarm optimization with a machine learning algorithm and molecular docking for QSAR modelling of cholinesterase inhibitors;SAR and QSAR in Environmental Research;2021-09-02

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