QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP AND MOLECULAR DOCKING STUDIES OF HYDROXAMIC ACID DERIVATIVES AS NOVEL CLASS INHIBITORS AGAINST HELICOBACTER PYLORI UREASE

Detalhes bibliográficos
Autor(a) principal: Ibrahim, Ibrahim Tijjani
Data de Publicação: 2019
Outros Autores: Uzairu, Adamu, Sagagi, Balarabe
Tipo de documento: Artigo
Idioma: eng
Título da fonte: The Journal of Engineering and Exact Sciences
Texto Completo: https://periodicos.ufv.br/jcec/article/view/8751
Resumo: In order to develop quantitative structure-activity relationship (QSAR), for predicting antiulcer activity of hydroxamic acid analogues use as dataset and their antiulcer activity were obtained from the literature. Density Functional Theory (DFT) using B3LYP/6-31G* quantum chemical calculation method was used to find the optimized geometry of the studied compounds. Eight types of molecular descriptors were used to find out the relation between antipeptic ulcer (APU) activity and structural properties. Relevant molecular descriptors were selected by Genetic Function Algorithms (GFA). The best model obtained was given a distinct validated, good and robust statistical parameters which include; square correlation coefficient R2 value of (0.9989), adjusted determination coefficient, R2adj value of (0.9984), Leave one out cross validation determination coefficient Q2 value of (0.9948) and external validation as predicted determination coefficient R2 value of(0.8409). Molecular docking analysis find out that, the best lead-compound with the higher negative value score of (-8.5 kcal/mol) were formed hydrophobic interaction and H-bonding with amino acid residue between the inhibitors compounds with their respective receptor.
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spelling QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP AND MOLECULAR DOCKING STUDIES OF HYDROXAMIC ACID DERIVATIVES AS NOVEL CLASS INHIBITORS AGAINST HELICOBACTER PYLORI UREASEQSARMolecular DockingDFT, GFAUlcer1E9Y hydrolaseIn order to develop quantitative structure-activity relationship (QSAR), for predicting antiulcer activity of hydroxamic acid analogues use as dataset and their antiulcer activity were obtained from the literature. Density Functional Theory (DFT) using B3LYP/6-31G* quantum chemical calculation method was used to find the optimized geometry of the studied compounds. Eight types of molecular descriptors were used to find out the relation between antipeptic ulcer (APU) activity and structural properties. Relevant molecular descriptors were selected by Genetic Function Algorithms (GFA). The best model obtained was given a distinct validated, good and robust statistical parameters which include; square correlation coefficient R2 value of (0.9989), adjusted determination coefficient, R2adj value of (0.9984), Leave one out cross validation determination coefficient Q2 value of (0.9948) and external validation as predicted determination coefficient R2 value of(0.8409). Molecular docking analysis find out that, the best lead-compound with the higher negative value score of (-8.5 kcal/mol) were formed hydrophobic interaction and H-bonding with amino acid residue between the inhibitors compounds with their respective receptor. Universidade Federal de Viçosa - UFV2019-12-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/jcec/article/view/875110.18540/jcecvl5iss5pp0482-0493The Journal of Engineering and Exact Sciences; Vol. 5 No. 5 (2019); 0482-0493The Journal of Engineering and Exact Sciences; Vol. 5 Núm. 5 (2019); 0482-0493The Journal of Engineering and Exact Sciences; v. 5 n. 5 (2019); 0482-04932527-1075reponame:The Journal of Engineering and Exact Sciencesinstname:Universidade Federal de Viçosa (UFV)instacron:UFVenghttps://periodicos.ufv.br/jcec/article/view/8751/5217Ibrahim, Ibrahim TijjaniUzairu, AdamuSagagi, Balarabeinfo:eu-repo/semantics/openAccess2020-02-28T12:32:11Zoai:ojs.periodicos.ufv.br:article/8751Revistahttp://www.seer.ufv.br/seer/rbeq2/index.php/req2/oai2527-10752527-1075opendoar:2020-02-28T12:32:11The Journal of Engineering and Exact Sciences - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP AND MOLECULAR DOCKING STUDIES OF HYDROXAMIC ACID DERIVATIVES AS NOVEL CLASS INHIBITORS AGAINST HELICOBACTER PYLORI UREASE
title QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP AND MOLECULAR DOCKING STUDIES OF HYDROXAMIC ACID DERIVATIVES AS NOVEL CLASS INHIBITORS AGAINST HELICOBACTER PYLORI UREASE
spellingShingle QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP AND MOLECULAR DOCKING STUDIES OF HYDROXAMIC ACID DERIVATIVES AS NOVEL CLASS INHIBITORS AGAINST HELICOBACTER PYLORI UREASE
Ibrahim, Ibrahim Tijjani
QSAR
Molecular Docking
DFT, GFA
Ulcer
1E9Y hydrolase
title_short QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP AND MOLECULAR DOCKING STUDIES OF HYDROXAMIC ACID DERIVATIVES AS NOVEL CLASS INHIBITORS AGAINST HELICOBACTER PYLORI UREASE
title_full QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP AND MOLECULAR DOCKING STUDIES OF HYDROXAMIC ACID DERIVATIVES AS NOVEL CLASS INHIBITORS AGAINST HELICOBACTER PYLORI UREASE
title_fullStr QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP AND MOLECULAR DOCKING STUDIES OF HYDROXAMIC ACID DERIVATIVES AS NOVEL CLASS INHIBITORS AGAINST HELICOBACTER PYLORI UREASE
title_full_unstemmed QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP AND MOLECULAR DOCKING STUDIES OF HYDROXAMIC ACID DERIVATIVES AS NOVEL CLASS INHIBITORS AGAINST HELICOBACTER PYLORI UREASE
title_sort QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP AND MOLECULAR DOCKING STUDIES OF HYDROXAMIC ACID DERIVATIVES AS NOVEL CLASS INHIBITORS AGAINST HELICOBACTER PYLORI UREASE
author Ibrahim, Ibrahim Tijjani
author_facet Ibrahim, Ibrahim Tijjani
Uzairu, Adamu
Sagagi, Balarabe
author_role author
author2 Uzairu, Adamu
Sagagi, Balarabe
author2_role author
author
dc.contributor.author.fl_str_mv Ibrahim, Ibrahim Tijjani
Uzairu, Adamu
Sagagi, Balarabe
dc.subject.por.fl_str_mv QSAR
Molecular Docking
DFT, GFA
Ulcer
1E9Y hydrolase
topic QSAR
Molecular Docking
DFT, GFA
Ulcer
1E9Y hydrolase
description In order to develop quantitative structure-activity relationship (QSAR), for predicting antiulcer activity of hydroxamic acid analogues use as dataset and their antiulcer activity were obtained from the literature. Density Functional Theory (DFT) using B3LYP/6-31G* quantum chemical calculation method was used to find the optimized geometry of the studied compounds. Eight types of molecular descriptors were used to find out the relation between antipeptic ulcer (APU) activity and structural properties. Relevant molecular descriptors were selected by Genetic Function Algorithms (GFA). The best model obtained was given a distinct validated, good and robust statistical parameters which include; square correlation coefficient R2 value of (0.9989), adjusted determination coefficient, R2adj value of (0.9984), Leave one out cross validation determination coefficient Q2 value of (0.9948) and external validation as predicted determination coefficient R2 value of(0.8409). Molecular docking analysis find out that, the best lead-compound with the higher negative value score of (-8.5 kcal/mol) were formed hydrophobic interaction and H-bonding with amino acid residue between the inhibitors compounds with their respective receptor.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-20
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/8751
10.18540/jcecvl5iss5pp0482-0493
url https://periodicos.ufv.br/jcec/article/view/8751
identifier_str_mv 10.18540/jcecvl5iss5pp0482-0493
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufv.br/jcec/article/view/8751/5217
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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. 5 No. 5 (2019); 0482-0493
The Journal of Engineering and Exact Sciences; Vol. 5 Núm. 5 (2019); 0482-0493
The Journal of Engineering and Exact Sciences; v. 5 n. 5 (2019); 0482-0493
2527-1075
reponame:The Journal of Engineering and Exact Sciences
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str The Journal of Engineering and Exact Sciences
collection The Journal of Engineering and Exact Sciences
repository.name.fl_str_mv The Journal of Engineering and Exact Sciences - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv
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