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Odugbemi AI, Nyirenda C, Christoffels A, Egieyeh SA. Artificial intelligence in antidiabetic drug discovery: The advances in QSAR and the prediction of α-glucosidase inhibitors. Comput Struct Biotechnol J 2024; 23:2964-2977. [PMID: 39148608 PMCID: PMC11326494 DOI: 10.1016/j.csbj.2024.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 07/03/2024] [Accepted: 07/03/2024] [Indexed: 08/17/2024] Open
Abstract
Artificial Intelligence is transforming drug discovery, particularly in the hit identification phase of therapeutic compounds. One tool that has been instrumental in this transformation is Quantitative Structure-Activity Relationship (QSAR) analysis. This computer-aided drug design tool uses machine learning to predict the biological activity of new compounds based on the numerical representation of chemical structures against various biological targets. With diabetes mellitus becoming a significant health challenge in recent times, there is intense research interest in modulating antidiabetic drug targets. α-Glucosidase is an antidiabetic target that has gained attention due to its ability to suppress postprandial hyperglycaemia, a key contributor to diabetic complications. This review explored a detailed approach to developing QSAR models, focusing on strategies for generating input variables (molecular descriptors) and computational approaches ranging from classical machine learning algorithms to modern deep learning algorithms. We also highlighted studies that have used these approaches to develop predictive models for α-glucosidase inhibitors to modulate this critical antidiabetic drug target.
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Affiliation(s)
- Adeshina I Odugbemi
- South African Medical Research Council Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, Cape Town 7535, South Africa
- School of Pharmacy, University of the Western Cape, Bellville, Cape Town 7535, South Africa
- National Institute for Theoretical and Computational Sciences (NITheCS), South Africa
| | - Clement Nyirenda
- Department of Computer Science, University of the Western Cape, Cape Town 7535, South Africa
| | - Alan Christoffels
- South African Medical Research Council Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville, Cape Town 7535, South Africa
- Africa Centres for Disease Control and Prevention, African Union, Addis Ababa, Ethiopia
| | - Samuel A Egieyeh
- School of Pharmacy, University of the Western Cape, Bellville, Cape Town 7535, South Africa
- National Institute for Theoretical and Computational Sciences (NITheCS), South Africa
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Xiao Y, Huang P, Wu FY. Bifunctional Tb(III)-modified Ce-MOF nanoprobe for colorimetric and fluorescence sensing of α-glucosidase activity. Talanta 2024; 276:126304. [PMID: 38796993 DOI: 10.1016/j.talanta.2024.126304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 05/08/2024] [Accepted: 05/20/2024] [Indexed: 05/29/2024]
Abstract
α-Glucosidase, which directly involves in the metabolism of starch and glycogen and causes an increase in blood sugar level, is the major target enzyme for the precaution and therapy of type II diabetes. Based on the previous work, we adopted a post-synthetic modification method to encapsulate Tb3+ into Ce-MOF nanozyme which owned mixed valence states. Tb@Ce-MOF displayed induced luminescence characteristic and exceptional oxidase-like activity that could oxidize colorless 3,3',5,5'-tetramethylbenzidine (TMB) to blue ox-TMB. α-Glucosidase can hydrolyze the substrate l-ascorbic acid-2-O-α-d-glucopyranosyl (AAG) to generate ascorbic acid (AA), which could increase the Ce3+/Ce4+ redox valence mode in Tb@Ce-MOF, leading to the inhibition of the allochroic reaction of TMB and the decreased absorption of ox-TMB at 652 nm. The energy transfer (EnT) process from Ce3+ to Tb3+ will enhance due to the increased Ce3+/Ce4+ mode in Tb@Ce-MOF, which will result in an enhanced fluorescence signal of Tb@Ce-MOF at 550 nm. But the addition of inhibitor acarbose will inhibit the above process. We have constructed a dual-mode detection platform of α-glucosidase and its inhibitor via colorimetric and fluorometric method. The linear range of α-glucosidase were 0.01-0.5 U/mL (colorimetric mode) and 0.8-1.5 U/mL (fluorometric mode), respectively, with a detection limit as low as 0.0018 U/mL. Furthermore, our approach was also successfully employed to the analysis of α-glucosidase in serum samples.
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Affiliation(s)
- Yi Xiao
- School of Chemistry and Chemical Engineering, Nanchang University, Nanchang, 330031, China
| | - Pengcheng Huang
- School of Chemistry and Chemical Engineering, Nanchang University, Nanchang, 330031, China.
| | - Fang-Ying Wu
- School of Chemistry and Chemical Engineering, Nanchang University, Nanchang, 330031, China.
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Yang QQ, He SB, Zhang YL, Li M, You XH, Xiao BW, Yang L, Yang ZQ, Deng HH, Chen W. A colorimetric sensing strategy based on chitosan-stabilized platinum nanoparticles for quick detection of α-glucosidase activity and inhibitor screening. Anal Bioanal Chem 2024:10.1007/s00216-024-05198-9. [PMID: 38358531 DOI: 10.1007/s00216-024-05198-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 01/31/2024] [Accepted: 02/01/2024] [Indexed: 02/16/2024]
Abstract
α-Glucosidase (α-Glu) is implicated in the progression and pathogenesis of type II diabetes (T2D). In this study, we developed a rapid colorimetric technique using platinum nanoparticles stabilized by chitosan (Ch-PtNPs) to detect α-Glu activity and its inhibitor. The Ch-PtNPs facilitate the conversion of 3,3',5,5'-tetramethylbenzidine (TMB) into oxidized TMB (oxTMB) in the presence of dissolved O2. The catalytic hydrolysis of 2-O-α-D-glucopyranosyl-L-ascorbic acid (AA-2G) by α-Glu produces ascorbic acid (AA), which reduces oxTMB to TMB, leading to the fading of the blue color. However, the presence of α-Glu inhibitors (AGIs) hinders the generation of AA, allowing Ch-PtNPs to re-oxidize colorless TMB back to blue oxTMB. This unique phenomenon enables the colorimetric detection of α-Glu activity and AGIs. The linear range for α-Glu was found to be 0.1-1.0 U mL-1 and the detection limit was 0.026 U mL-1. Additionally, the half-maximal inhibition value (IC50) for acarbose, an α-Glu inhibitor, was calculated to be 0.4769 mM. Excitingly, this sensing platform successfully detected α-Glu activity in human serum samples and effectively screened AGIs. These promising findings highlight the potential application of the proposed strategy in clinical diabetes diagnosis and drug discovery.
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Affiliation(s)
- Qin-Qin Yang
- Experimental Teaching Center, School of Pharmacy, Fujian Medical University, Fuzhou, 350004, China
| | - Shao-Bin He
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou, 350004, China
- Laboratory of Clinical Pharmacy, Department of Pharmacy, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Yi-Lin Zhang
- Experimental Teaching Center, School of Pharmacy, Fujian Medical University, Fuzhou, 350004, China
| | - Min Li
- Experimental Teaching Center, School of Pharmacy, Fujian Medical University, Fuzhou, 350004, China
| | - Xiu-Hua You
- Experimental Teaching Center, School of Pharmacy, Fujian Medical University, Fuzhou, 350004, China
| | - Bo-Wen Xiao
- Experimental Teaching Center, School of Pharmacy, Fujian Medical University, Fuzhou, 350004, China
| | - Liu Yang
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou, 350004, China
| | - Zhi-Qiang Yang
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou, 350004, China
| | - Hao-Hua Deng
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou, 350004, China.
| | - Wei Chen
- Fujian Key Laboratory of Drug Target Discovery and Structural and Functional Research, School of Pharmacy, Fujian Medical University, Fuzhou, 350004, China.
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Zhang W, Jiang X, Wu Y, Jiang J, Liu X, Liu Y, Wang W, Lai J, Wang X. Emission enhancement of fluorescent glutathione-capped gold nanoclusters by cerium (III) ion-induced aggregation for sensitive detecting α-glucosidase in human serum using ratiometric fluorometry. Microchem J 2022. [DOI: 10.1016/j.microc.2022.108049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Liu JL, Kong YC, Miao JY, Mei XY, Wu SY, Yan YC, Cao XY. Spectroscopy and molecular docking analysis reveal structural specificity of flavonoids in the inhibition of α-glucosidase activity. Int J Biol Macromol 2020; 152:981-989. [DOI: 10.1016/j.ijbiomac.2019.10.184] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 10/22/2019] [Accepted: 10/22/2019] [Indexed: 01/20/2023]
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Liu J, Duan X, Wang M, Su X. A label-free fluorescent sensor based on silicon quantum dots–MnO2 nanosheets for the detection of α-glucosidase and its inhibitor. Analyst 2019; 144:7398-7405. [DOI: 10.1039/c9an01680e] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
We have successfully designed a fluorescence SiQD–MnO2 nanosheet sensing platform to detect α-glucosidase and acarbose for the first time.
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Affiliation(s)
- Jinying Liu
- Department of Analytical Chemistry
- College of Chemistry
- Jilin University
- Changchun 130012
- PR China
| | - Xinhe Duan
- Department of Analytical Chemistry
- College of Chemistry
- Jilin University
- Changchun 130012
- PR China
| | - Mengke Wang
- Department of Analytical Chemistry
- College of Chemistry
- Jilin University
- Changchun 130012
- PR China
| | - Xingguang Su
- Department of Analytical Chemistry
- College of Chemistry
- Jilin University
- Changchun 130012
- PR China
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