QSAR and molecular docking based design of some n-benzylacetamide as ?-aminobutyrate-aminotransferase inhibitors
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista de Engenharia Química e Química |
DOI: | 10.18540/jcecvl4iss1pp0065-0084 |
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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Revista de Engenharia Química e Química |
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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 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 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 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 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. Adedirin, O. Uzairu, Adamu Shallangwa, Gideon A. Abechi, Stephen E. 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 |
_version_ |
1822179063888871424 |
dc.identifier.doi.none.fl_str_mv |
10.18540/jcecvl4iss1pp0065-0084 |