Exploration of the Interactions between Maltase–Glucoamylase and Its Potential Peptide Inhibitors by Molecular Dynamics Simulation
Diabetes mellitus, a chronic metabolic disorder, represents a serious threat to human health. The gut enzyme maltase–glucoamylase (MGAM) has attracted considerable attention as a potential therapeutic target for the treatment of type 2 diabetes. Thus, developing novel inhibitors of MGAM holds the pr...
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Veröffentlicht in: | Catalysts 2022-05, Vol.12 (5), p.522 |
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description | Diabetes mellitus, a chronic metabolic disorder, represents a serious threat to human health. The gut enzyme maltase–glucoamylase (MGAM) has attracted considerable attention as a potential therapeutic target for the treatment of type 2 diabetes. Thus, developing novel inhibitors of MGAM holds the promise of improving clinical management. The dipeptides, Thr-Trp (TW) and Trp-Ala (WA), are known inhibitors of MGAM; however, studies on how they interact with MGAM are lacking. The work presented here explored these interactions by utilizing molecular docking and molecular dynamics simulations. Results indicate that the active center of the MGAM could easily accommodate the flexible peptides. Interactions involving hydrogen bonds, cation-π, and hydrophobic interactions are predicted between TW/WA and residues including Tyr1251, Trp1355, Asp1420, Met1421, Glu1423, and Arg1510 within MGAM. The electrostatic energy was recognized as playing a dominant role in both TW-MGAM and WA-MGAM systems. The binding locations of TW/WA are close to the possible acid-base catalytic residue Asp1526 and might be the reason for MGAM inhibition. These findings provide a theoretical structural model for the development of future inhibitors. |
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The gut enzyme maltase–glucoamylase (MGAM) has attracted considerable attention as a potential therapeutic target for the treatment of type 2 diabetes. Thus, developing novel inhibitors of MGAM holds the promise of improving clinical management. The dipeptides, Thr-Trp (TW) and Trp-Ala (WA), are known inhibitors of MGAM; however, studies on how they interact with MGAM are lacking. The work presented here explored these interactions by utilizing molecular docking and molecular dynamics simulations. Results indicate that the active center of the MGAM could easily accommodate the flexible peptides. Interactions involving hydrogen bonds, cation-π, and hydrophobic interactions are predicted between TW/WA and residues including Tyr1251, Trp1355, Asp1420, Met1421, Glu1423, and Arg1510 within MGAM. The electrostatic energy was recognized as playing a dominant role in both TW-MGAM and WA-MGAM systems. The binding locations of TW/WA are close to the possible acid-base catalytic residue Asp1526 and might be the reason for MGAM inhibition. These findings provide a theoretical structural model for the development of future inhibitors.</description><identifier>ISSN: 2073-4344</identifier><identifier>EISSN: 2073-4344</identifier><identifier>DOI: 10.3390/catal12050522</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Catalysts ; Chemical reactions ; Cluster analysis ; Diabetes ; Diabetes mellitus ; Glucoamylase ; Hydrogen bonds ; Hydrophobicity ; Hyperglycemia ; Insulin resistance ; Metabolic disorders ; Molecular docking ; Molecular dynamics ; Peptides ; Residues ; Simulation ; Structural models</subject><ispartof>Catalysts, 2022-05, Vol.12 (5), p.522</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c190t-339d3bdda314352f474da15ddff1519d46803590c2a6b48dde694ef484f222883</cites><orcidid>0000-0001-8373-6088 ; 0000-0002-4821-9461</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Guan, Shanshan</creatorcontrib><creatorcontrib>Han, Xu</creatorcontrib><creatorcontrib>Li, Zhan</creatorcontrib><creatorcontrib>Xu, Xifei</creatorcontrib><creatorcontrib>Cui, Yongran</creatorcontrib><creatorcontrib>Chen, Zhiwen</creatorcontrib><creatorcontrib>Zhang, Shuming</creatorcontrib><creatorcontrib>Chen, Shi</creatorcontrib><creatorcontrib>Shan, Yaming</creatorcontrib><creatorcontrib>Wang, Song</creatorcontrib><creatorcontrib>Li, Hao</creatorcontrib><title>Exploration of the Interactions between Maltase–Glucoamylase and Its Potential Peptide Inhibitors by Molecular Dynamics Simulation</title><title>Catalysts</title><description>Diabetes mellitus, a chronic metabolic disorder, represents a serious threat to human health. The gut enzyme maltase–glucoamylase (MGAM) has attracted considerable attention as a potential therapeutic target for the treatment of type 2 diabetes. Thus, developing novel inhibitors of MGAM holds the promise of improving clinical management. The dipeptides, Thr-Trp (TW) and Trp-Ala (WA), are known inhibitors of MGAM; however, studies on how they interact with MGAM are lacking. The work presented here explored these interactions by utilizing molecular docking and molecular dynamics simulations. Results indicate that the active center of the MGAM could easily accommodate the flexible peptides. Interactions involving hydrogen bonds, cation-π, and hydrophobic interactions are predicted between TW/WA and residues including Tyr1251, Trp1355, Asp1420, Met1421, Glu1423, and Arg1510 within MGAM. The electrostatic energy was recognized as playing a dominant role in both TW-MGAM and WA-MGAM systems. The binding locations of TW/WA are close to the possible acid-base catalytic residue Asp1526 and might be the reason for MGAM inhibition. These findings provide a theoretical structural model for the development of future inhibitors.</description><subject>Catalysts</subject><subject>Chemical reactions</subject><subject>Cluster analysis</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Glucoamylase</subject><subject>Hydrogen bonds</subject><subject>Hydrophobicity</subject><subject>Hyperglycemia</subject><subject>Insulin resistance</subject><subject>Metabolic disorders</subject><subject>Molecular docking</subject><subject>Molecular dynamics</subject><subject>Peptides</subject><subject>Residues</subject><subject>Simulation</subject><subject>Structural models</subject><issn>2073-4344</issn><issn>2073-4344</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpVUE1Lw0AUXETBUnv0vuA5ul9Jk6PUWgstFtRz2OwH3bLJxt0NmpsH_4H_0F9iQj3ou7z3hmGGGQAuMbqmtEA3gkduMUEpSgk5AROC5jRhlLHTP_c5mIVwQMMUmOY4nYDP5XtrnefRuAY6DeNewXUTledihAKsVHxTqoFbbiMP6vvja2U74Xjd2-GFvJFwHQPcuaiaaLiFO9VGI0eVvalMdH7Q6OHWWSU6yz286xteGxHgk6kHYHS5AGea26Bmv3sKXu6Xz4uHZPO4Wi9uN4nABYrJkFPSSkpOMaMp0WzOJMeplFrjFBeSZTmiaYEE4VnFcilVVjClWc40ISTP6RRcHXVb7147FWJ5cJ1vBsuSZHOEGcM4G1jJkSW8C8ErXbbe1Nz3JUbl2HX5r2v6A_pZdTs</recordid><startdate>20220507</startdate><enddate>20220507</enddate><creator>Guan, Shanshan</creator><creator>Han, Xu</creator><creator>Li, Zhan</creator><creator>Xu, Xifei</creator><creator>Cui, Yongran</creator><creator>Chen, Zhiwen</creator><creator>Zhang, Shuming</creator><creator>Chen, Shi</creator><creator>Shan, Yaming</creator><creator>Wang, Song</creator><creator>Li, Hao</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>COVID</scope><scope>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0001-8373-6088</orcidid><orcidid>https://orcid.org/0000-0002-4821-9461</orcidid></search><sort><creationdate>20220507</creationdate><title>Exploration of the Interactions between Maltase–Glucoamylase and Its Potential Peptide Inhibitors by Molecular Dynamics Simulation</title><author>Guan, Shanshan ; 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subjects | Catalysts Chemical reactions Cluster analysis Diabetes Diabetes mellitus Glucoamylase Hydrogen bonds Hydrophobicity Hyperglycemia Insulin resistance Metabolic disorders Molecular docking Molecular dynamics Peptides Residues Simulation Structural models |
title | Exploration of the Interactions between Maltase–Glucoamylase and Its Potential Peptide Inhibitors by Molecular Dynamics Simulation |
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