Discovery of GABA Aminotransferase Inhibitors via Molecular Docking, Molecular Dynamic Simulation, and Biological Evaluation
γ-Aminobutyric acid aminotransferase (GABA-AT) is a pyridoxal 5'-phosphate (PLP)-dependent enzyme that degrades γ-aminobutyric (GABA) in the brain. GABA is an important inhibitory neurotransmitter that plays important neurological roles in the brain. Therefore, GABA-AT is an important drug targ...
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Veröffentlicht in: | International journal of molecular sciences 2023-12, Vol.24 (23), p.16990 |
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creator | Yasir, Muhammad Park, Jinyoung Lee, Yuno Han, Eun-Taek Park, Won Sun Han, Jin-Hee Kwon, Yong-Soo Lee, Hee-Jae Chun, Wanjoo |
description | γ-Aminobutyric acid aminotransferase (GABA-AT) is a pyridoxal 5'-phosphate (PLP)-dependent enzyme that degrades γ-aminobutyric (GABA) in the brain. GABA is an important inhibitory neurotransmitter that plays important neurological roles in the brain. Therefore, GABA-AT is an important drug target that regulates GABA levels. Novel and potent drug development to inhibit GABA-AT is still a very challenging task. In this study, we aimed to devise novel and potent inhibitors against GABA-AT using computer-aided drug design (CADD) tools. Since the crystal structure of human GABA-AT was not yet available, we utilized a homologous structure derived from our previously published paper. To identify highly potent compounds relative to vigabatrin, an FDA-approved drug against human GABA-AT, we developed a pharmacophore analysis protocol for 530,000 Korea Chemical Bank (KCB) compounds and selected the top 50 compounds for further screening. Preliminary biological analysis was carried out for these 50 compounds and 16 compounds were further assessed. Subsequently, molecular docking, molecular dynamics (MD) simulations, and binding free energy calculations were carried out. In the results, four predicted compounds, A07, B07, D08, and H08, were found to be highly potent and were further evaluated by a biological activity assay to confirm the results of the GABA-AT activity inhibition assay. |
doi_str_mv | 10.3390/ijms242316990 |
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GABA is an important inhibitory neurotransmitter that plays important neurological roles in the brain. Therefore, GABA-AT is an important drug target that regulates GABA levels. Novel and potent drug development to inhibit GABA-AT is still a very challenging task. In this study, we aimed to devise novel and potent inhibitors against GABA-AT using computer-aided drug design (CADD) tools. Since the crystal structure of human GABA-AT was not yet available, we utilized a homologous structure derived from our previously published paper. To identify highly potent compounds relative to vigabatrin, an FDA-approved drug against human GABA-AT, we developed a pharmacophore analysis protocol for 530,000 Korea Chemical Bank (KCB) compounds and selected the top 50 compounds for further screening. Preliminary biological analysis was carried out for these 50 compounds and 16 compounds were further assessed. Subsequently, molecular docking, molecular dynamics (MD) simulations, and binding free energy calculations were carried out. In the results, four predicted compounds, A07, B07, D08, and H08, were found to be highly potent and were further evaluated by a biological activity assay to confirm the results of the GABA-AT activity inhibition assay.</description><identifier>ISSN: 1422-0067</identifier><identifier>ISSN: 1661-6596</identifier><identifier>EISSN: 1422-0067</identifier><identifier>DOI: 10.3390/ijms242316990</identifier><identifier>PMID: 38069313</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>4-Aminobutyrate Transaminase ; Amino acids ; Analysis ; Binding sites ; Convulsions & seizures ; Crystals ; Drug approval ; Drug development ; Energy ; Enzymes ; Epilepsy ; GABA ; gamma-Aminobutyric Acid - metabolism ; Humans ; Hydrogen bonds ; Ligands ; Molecular Docking Simulation ; Molecular dynamics ; Molecular Dynamics Simulation ; Phosphates ; Proteins ; Pyridoxal Phosphate - metabolism ; Simulation methods ; Structure ; Vigabatrin</subject><ispartof>International journal of molecular sciences, 2023-12, Vol.24 (23), p.16990</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 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><citedby>FETCH-LOGICAL-c427t-9dc728ec48334a3803871717302aefe58ae4b0407d4ec1e0f2433525303738153</citedby><cites>FETCH-LOGICAL-c427t-9dc728ec48334a3803871717302aefe58ae4b0407d4ec1e0f2433525303738153</cites><orcidid>0000-0003-0836-6675 ; 0000-0003-1984-3545 ; 0000-0002-6754-3793</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38069313$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yasir, Muhammad</creatorcontrib><creatorcontrib>Park, Jinyoung</creatorcontrib><creatorcontrib>Lee, Yuno</creatorcontrib><creatorcontrib>Han, Eun-Taek</creatorcontrib><creatorcontrib>Park, Won Sun</creatorcontrib><creatorcontrib>Han, Jin-Hee</creatorcontrib><creatorcontrib>Kwon, Yong-Soo</creatorcontrib><creatorcontrib>Lee, Hee-Jae</creatorcontrib><creatorcontrib>Chun, Wanjoo</creatorcontrib><title>Discovery of GABA Aminotransferase Inhibitors via Molecular Docking, Molecular Dynamic Simulation, and Biological Evaluation</title><title>International journal of molecular sciences</title><addtitle>Int J Mol Sci</addtitle><description>γ-Aminobutyric acid aminotransferase (GABA-AT) is a pyridoxal 5'-phosphate (PLP)-dependent enzyme that degrades γ-aminobutyric (GABA) in the brain. GABA is an important inhibitory neurotransmitter that plays important neurological roles in the brain. Therefore, GABA-AT is an important drug target that regulates GABA levels. Novel and potent drug development to inhibit GABA-AT is still a very challenging task. In this study, we aimed to devise novel and potent inhibitors against GABA-AT using computer-aided drug design (CADD) tools. Since the crystal structure of human GABA-AT was not yet available, we utilized a homologous structure derived from our previously published paper. To identify highly potent compounds relative to vigabatrin, an FDA-approved drug against human GABA-AT, we developed a pharmacophore analysis protocol for 530,000 Korea Chemical Bank (KCB) compounds and selected the top 50 compounds for further screening. Preliminary biological analysis was carried out for these 50 compounds and 16 compounds were further assessed. Subsequently, molecular docking, molecular dynamics (MD) simulations, and binding free energy calculations were carried out. In the results, four predicted compounds, A07, B07, D08, and H08, were found to be highly potent and were further evaluated by a biological activity assay to confirm the results of the GABA-AT activity inhibition assay.</description><subject>4-Aminobutyrate Transaminase</subject><subject>Amino acids</subject><subject>Analysis</subject><subject>Binding sites</subject><subject>Convulsions & seizures</subject><subject>Crystals</subject><subject>Drug approval</subject><subject>Drug development</subject><subject>Energy</subject><subject>Enzymes</subject><subject>Epilepsy</subject><subject>GABA</subject><subject>gamma-Aminobutyric Acid - metabolism</subject><subject>Humans</subject><subject>Hydrogen bonds</subject><subject>Ligands</subject><subject>Molecular Docking Simulation</subject><subject>Molecular dynamics</subject><subject>Molecular Dynamics Simulation</subject><subject>Phosphates</subject><subject>Proteins</subject><subject>Pyridoxal Phosphate - metabolism</subject><subject>Simulation methods</subject><subject>Structure</subject><subject>Vigabatrin</subject><issn>1422-0067</issn><issn>1661-6596</issn><issn>1422-0067</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkU1v1DAQhi0Eol8cuSJLXDg0xfE4a_uYflAqFXGgnC2vM1m8JHaxk5VW4sfXS0vVIjQHe8bPvBrPS8jbmp0AaPbRr8fMBYd6oTV7QfZrwXnF2EK-fHLfIwc5rxnjwBv9muyBYgsNNeyT3-c-u7jBtKWxp5ftaUvb0Yc4JRtyj8lmpFfhh1_6KaZMN97SL3FANw820fPofvqwOn5a2gY7eke_-bHkk4_hmNrQ0VMfh7jyzg70YmOH-c_TEXnV2yHjm4fzkHz_dHFz9rm6_np5ddZeV05wOVW6c5IrdEIBCFtmByXrEsC4xR4bZVEsmWCyE-hqZD0XAA1vgIEEVTdwSD7c696m-GvGPJmx_BqHwQaMczZcM64XRU4U9P0_6DrOKZTpDFdaCyGhyD5SKzug8aHf7cvtRE0rZaM0A6YKdfIfqkSHZUUxYO9L_VlDdd_gUsw5YW9ukx9t2pqamZ3b5pnbhX_3MOy8HLF7pP_aC3fs9KLz</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Yasir, Muhammad</creator><creator>Park, Jinyoung</creator><creator>Lee, Yuno</creator><creator>Han, Eun-Taek</creator><creator>Park, Won Sun</creator><creator>Han, Jin-Hee</creator><creator>Kwon, Yong-Soo</creator><creator>Lee, Hee-Jae</creator><creator>Chun, Wanjoo</creator><general>MDPI AG</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0836-6675</orcidid><orcidid>https://orcid.org/0000-0003-1984-3545</orcidid><orcidid>https://orcid.org/0000-0002-6754-3793</orcidid></search><sort><creationdate>20231201</creationdate><title>Discovery of GABA Aminotransferase Inhibitors via Molecular Docking, Molecular Dynamic Simulation, and Biological Evaluation</title><author>Yasir, Muhammad ; 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GABA is an important inhibitory neurotransmitter that plays important neurological roles in the brain. Therefore, GABA-AT is an important drug target that regulates GABA levels. Novel and potent drug development to inhibit GABA-AT is still a very challenging task. In this study, we aimed to devise novel and potent inhibitors against GABA-AT using computer-aided drug design (CADD) tools. Since the crystal structure of human GABA-AT was not yet available, we utilized a homologous structure derived from our previously published paper. To identify highly potent compounds relative to vigabatrin, an FDA-approved drug against human GABA-AT, we developed a pharmacophore analysis protocol for 530,000 Korea Chemical Bank (KCB) compounds and selected the top 50 compounds for further screening. Preliminary biological analysis was carried out for these 50 compounds and 16 compounds were further assessed. Subsequently, molecular docking, molecular dynamics (MD) simulations, and binding free energy calculations were carried out. In the results, four predicted compounds, A07, B07, D08, and H08, were found to be highly potent and were further evaluated by a biological activity assay to confirm the results of the GABA-AT activity inhibition assay.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>38069313</pmid><doi>10.3390/ijms242316990</doi><orcidid>https://orcid.org/0000-0003-0836-6675</orcidid><orcidid>https://orcid.org/0000-0003-1984-3545</orcidid><orcidid>https://orcid.org/0000-0002-6754-3793</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 4-Aminobutyrate Transaminase Amino acids Analysis Binding sites Convulsions & seizures Crystals Drug approval Drug development Energy Enzymes Epilepsy GABA gamma-Aminobutyric Acid - metabolism Humans Hydrogen bonds Ligands Molecular Docking Simulation Molecular dynamics Molecular Dynamics Simulation Phosphates Proteins Pyridoxal Phosphate - metabolism Simulation methods Structure Vigabatrin |
title | Discovery of GABA Aminotransferase Inhibitors via Molecular Docking, Molecular Dynamic Simulation, and Biological Evaluation |
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