QSAR and molecular docking based design of some n-benzylacetamide as ?-aminobutyrate-aminotransferase inhibitors

Detalhes bibliográficos
Autor(a) principal: Adedirin, O.
Data de Publicação: 2018
Outros Autores: Uzairu, Adamu, Shallangwa, Gideon A., Abechi, Stephen E.
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista de Engenharia Química e Química
Texto Completo: https://periodicos.ufv.br/jcec/article/view/2465
Resumo: Quantitative structure activity relationship study (QSAR) and molecular docking were used to design and virtually screen some new N-benzylacetamide derivatives for their ability to inhibit ?-amino butyrate-aminotransferase. Ninety compounds with anticonvulsant activity against maximal electroshock induced seizures were used for QSAR study. B3LYP/6-31G** quantum mechanical method was employed to optimize/minimize the molecular structure of these compounds. Genetic Function Algorithm (GFA) method was used to develop the QSAR models. Each model gave an octa-parametric equation with good statistical qualities (R2 ranged from 0.823 to 0.893, Q2 from 0.772 to 0.854, F from 36.53 to 37.10, R2pred(test) from 0.768 to 0.893). Information obtained from the parameter contained in the model suggested that increasing the molecular mass and linearity of molecule would lead to increase in anticonvulsant activity of studied compounds. These informed the design and virtual screening of 118 new N-benzylacetamide derivatives using 2-acetamido-N-benzyl-2-(5-methylfuran-2-yl)acetamides as the template. The designed molecules were docked with ?-amino butyrate-aminotransferase (GABA_AT; PDB: 1OHV) using Internal Coordinate Mechanics Program (ICM-pro 3.8-3). The binding affinity of the designed compounds with GABA_AT were comparable to that of 4-aminohex-5-enoic acid (vigabatrin) and 3, 3-diphenylpyrrolidine-2, 5-dione (phenytoin) and 5H-dibenzo [b,f]azepine-5-carboxamide (carbamazepine), which are known inhibitors of GABA_AT. Therefore, the designed molecules have potential as inhibitors of GABA_AT and consequently as anticonvulsant agent.
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spelling QSAR and molecular docking based design of some n-benzylacetamide as ?-aminobutyrate-aminotransferase inhibitorsγ-aminobutyrate-aminotransferaseLigand-based designQuantitative structure activity relationshipKennard-Stone algorithmMolecular dockingGenetic function algorithmQuantitative structure activity relationship study (QSAR) and molecular docking were used to design and virtually screen some new N-benzylacetamide derivatives for their ability to inhibit ?-amino butyrate-aminotransferase. Ninety compounds with anticonvulsant activity against maximal electroshock induced seizures were used for QSAR study. B3LYP/6-31G** quantum mechanical method was employed to optimize/minimize the molecular structure of these compounds. Genetic Function Algorithm (GFA) method was used to develop the QSAR models. Each model gave an octa-parametric equation with good statistical qualities (R2 ranged from 0.823 to 0.893, Q2 from 0.772 to 0.854, F from 36.53 to 37.10, R2pred(test) from 0.768 to 0.893). Information obtained from the parameter contained in the model suggested that increasing the molecular mass and linearity of molecule would lead to increase in anticonvulsant activity of studied compounds. These informed the design and virtual screening of 118 new N-benzylacetamide derivatives using 2-acetamido-N-benzyl-2-(5-methylfuran-2-yl)acetamides as the template. The designed molecules were docked with ?-amino butyrate-aminotransferase (GABA_AT; PDB: 1OHV) using Internal Coordinate Mechanics Program (ICM-pro 3.8-3). The binding affinity of the designed compounds with GABA_AT were comparable to that of 4-aminohex-5-enoic acid (vigabatrin) and 3, 3-diphenylpyrrolidine-2, 5-dione (phenytoin) and 5H-dibenzo [b,f]azepine-5-carboxamide (carbamazepine), which are known inhibitors of GABA_AT. Therefore, the designed molecules have potential as inhibitors of GABA_AT and consequently as anticonvulsant agent.Universidade Federal de Viçosa - UFV2018-01-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/jcec/article/view/246510.18540/jcecvl4iss1pp0065-0084The Journal of Engineering and Exact Sciences; Vol. 4 No. 1 (2018); 0065-0084The Journal of Engineering and Exact Sciences; Vol. 4 Núm. 1 (2018); 0065-0084The Journal of Engineering and Exact Sciences; v. 4 n. 1 (2018); 0065-00842527-1075reponame:Revista de Engenharia Química e Químicainstname:Universidade Federal de Viçosa (UFV)instacron:UFVporhttps://periodicos.ufv.br/jcec/article/view/2465/1032Copyright (c) 2018 The Journal of Engineering and Exact Scienceshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAdedirin, O.Uzairu, AdamuShallangwa, Gideon A.Abechi, Stephen E.2021-11-03T12:39:43Zoai:ojs.periodicos.ufv.br:article/2465Revistahttp://www.seer.ufv.br/seer/rbeq2/index.php/req2/indexONGhttps://periodicos.ufv.br/jcec/oaijcec.journal@ufv.br||req2@ufv.br2446-94162446-9416opendoar:2021-11-03T12:39:43Revista de Engenharia Química e Química - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv QSAR and molecular docking based design of some n-benzylacetamide as ?-aminobutyrate-aminotransferase inhibitors
title QSAR and molecular docking based design of some n-benzylacetamide as ?-aminobutyrate-aminotransferase inhibitors
spellingShingle QSAR and molecular docking based design of some n-benzylacetamide as ?-aminobutyrate-aminotransferase inhibitors
Adedirin, O.
γ-aminobutyrate-aminotransferase
Ligand-based design
Quantitative structure activity relationship
Kennard-Stone algorithm
Molecular docking
Genetic function algorithm
title_short QSAR and molecular docking based design of some n-benzylacetamide as ?-aminobutyrate-aminotransferase inhibitors
title_full QSAR and molecular docking based design of some n-benzylacetamide as ?-aminobutyrate-aminotransferase inhibitors
title_fullStr QSAR and molecular docking based design of some n-benzylacetamide as ?-aminobutyrate-aminotransferase inhibitors
title_full_unstemmed QSAR and molecular docking based design of some n-benzylacetamide as ?-aminobutyrate-aminotransferase inhibitors
title_sort QSAR and molecular docking based design of some n-benzylacetamide as ?-aminobutyrate-aminotransferase inhibitors
author Adedirin, O.
author_facet Adedirin, O.
Uzairu, Adamu
Shallangwa, Gideon A.
Abechi, Stephen E.
author_role author
author2 Uzairu, Adamu
Shallangwa, Gideon A.
Abechi, Stephen E.
author2_role author
author
author
dc.contributor.author.fl_str_mv Adedirin, O.
Uzairu, Adamu
Shallangwa, Gideon A.
Abechi, Stephen E.
dc.subject.por.fl_str_mv γ-aminobutyrate-aminotransferase
Ligand-based design
Quantitative structure activity relationship
Kennard-Stone algorithm
Molecular docking
Genetic function algorithm
topic γ-aminobutyrate-aminotransferase
Ligand-based design
Quantitative structure activity relationship
Kennard-Stone algorithm
Molecular docking
Genetic function algorithm
description Quantitative structure activity relationship study (QSAR) and molecular docking were used to design and virtually screen some new N-benzylacetamide derivatives for their ability to inhibit ?-amino butyrate-aminotransferase. Ninety compounds with anticonvulsant activity against maximal electroshock induced seizures were used for QSAR study. B3LYP/6-31G** quantum mechanical method was employed to optimize/minimize the molecular structure of these compounds. Genetic Function Algorithm (GFA) method was used to develop the QSAR models. Each model gave an octa-parametric equation with good statistical qualities (R2 ranged from 0.823 to 0.893, Q2 from 0.772 to 0.854, F from 36.53 to 37.10, R2pred(test) from 0.768 to 0.893). Information obtained from the parameter contained in the model suggested that increasing the molecular mass and linearity of molecule would lead to increase in anticonvulsant activity of studied compounds. These informed the design and virtual screening of 118 new N-benzylacetamide derivatives using 2-acetamido-N-benzyl-2-(5-methylfuran-2-yl)acetamides as the template. The designed molecules were docked with ?-amino butyrate-aminotransferase (GABA_AT; PDB: 1OHV) using Internal Coordinate Mechanics Program (ICM-pro 3.8-3). The binding affinity of the designed compounds with GABA_AT were comparable to that of 4-aminohex-5-enoic acid (vigabatrin) and 3, 3-diphenylpyrrolidine-2, 5-dione (phenytoin) and 5H-dibenzo [b,f]azepine-5-carboxamide (carbamazepine), which are known inhibitors of GABA_AT. Therefore, the designed molecules have potential as inhibitors of GABA_AT and consequently as anticonvulsant agent.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-16
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufv.br/jcec/article/view/2465
10.18540/jcecvl4iss1pp0065-0084
url https://periodicos.ufv.br/jcec/article/view/2465
identifier_str_mv 10.18540/jcecvl4iss1pp0065-0084
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufv.br/jcec/article/view/2465/1032
dc.rights.driver.fl_str_mv Copyright (c) 2018 The Journal of Engineering and Exact Sciences
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2018 The Journal of Engineering and Exact Sciences
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv The Journal of Engineering and Exact Sciences; Vol. 4 No. 1 (2018); 0065-0084
The Journal of Engineering and Exact Sciences; Vol. 4 Núm. 1 (2018); 0065-0084
The Journal of Engineering and Exact Sciences; v. 4 n. 1 (2018); 0065-0084
2527-1075
reponame:Revista de Engenharia Química e Química
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Revista de Engenharia Química e Química
collection Revista de Engenharia Química e Química
repository.name.fl_str_mv Revista de Engenharia Química e Química - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv jcec.journal@ufv.br||req2@ufv.br
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