VALIDATION OF COMPUTATIONAL METHODS APPLIED IN MOLECULAR MODELING OF CAFFEINE WITH EPITHELIAL ANTICANCER ACTIVITY: THEORETICAL STUDY OF GEOMETRIC, THERMOCHEMICAL AND SPECTROMETRIC DATA
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Química Nova (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422018000700732 |
Resumo: | Models validation in QSAR, pharmacophore, docking, and others, can ensure the accuracy and reliability of future predictions in design and selection of molecules with biological activity. In these study, the caffeine molecule was optimized using Hartree-Fock (HF) and Density Functional Theory (DFT/B3LYP) methods, with seven basis sets. Linear correlation data, errors and RMSD values between theoretical and experimental data allowed us to classify the methods and basis sets for evaluating their correspondence with experimental data (geometric parameters, heat capacity, as well as Infrared, Raman and NMR spectra). The HF method has shown the highest correspondence with the experimental data, occupying the top-five rank of the general classification. The HF/6-31G** method was the best one classified and it can be used to model the biological activity of the caffeine molecule. |
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Química Nova (Online) |
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VALIDATION OF COMPUTATIONAL METHODS APPLIED IN MOLECULAR MODELING OF CAFFEINE WITH EPITHELIAL ANTICANCER ACTIVITY: THEORETICAL STUDY OF GEOMETRIC, THERMOCHEMICAL AND SPECTROMETRIC DATAvalidationDFT/B3LYPHFbasis setcorrelationModels validation in QSAR, pharmacophore, docking, and others, can ensure the accuracy and reliability of future predictions in design and selection of molecules with biological activity. In these study, the caffeine molecule was optimized using Hartree-Fock (HF) and Density Functional Theory (DFT/B3LYP) methods, with seven basis sets. Linear correlation data, errors and RMSD values between theoretical and experimental data allowed us to classify the methods and basis sets for evaluating their correspondence with experimental data (geometric parameters, heat capacity, as well as Infrared, Raman and NMR spectra). The HF method has shown the highest correspondence with the experimental data, occupying the top-five rank of the general classification. The HF/6-31G** method was the best one classified and it can be used to model the biological activity of the caffeine molecule.Sociedade Brasileira de Química2018-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422018000700732Química Nova v.41 n.7 2018reponame:Química Nova (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.21577/0100-4042.20170239info:eu-repo/semantics/openAccessCosta,Josivan da SilvaSantos,Cleydson Breno Rodrigues dosCosta,Karina da Silva LopesRamos,Ryan da SilvaSilva,Carlos Henrique Tomich de Paula daMacêdo,Williams Jorge da Cruzeng2018-08-02T00:00:00Zoai:scielo:S0100-40422018000700732Revistahttps://www.scielo.br/j/qn/ONGhttps://old.scielo.br/oai/scielo-oai.phpquimicanova@sbq.org.br1678-70640100-4042opendoar:2018-08-02T00:00Química Nova (Online) - Sociedade Brasileira de Química (SBQ)false |
dc.title.none.fl_str_mv |
VALIDATION OF COMPUTATIONAL METHODS APPLIED IN MOLECULAR MODELING OF CAFFEINE WITH EPITHELIAL ANTICANCER ACTIVITY: THEORETICAL STUDY OF GEOMETRIC, THERMOCHEMICAL AND SPECTROMETRIC DATA |
title |
VALIDATION OF COMPUTATIONAL METHODS APPLIED IN MOLECULAR MODELING OF CAFFEINE WITH EPITHELIAL ANTICANCER ACTIVITY: THEORETICAL STUDY OF GEOMETRIC, THERMOCHEMICAL AND SPECTROMETRIC DATA |
spellingShingle |
VALIDATION OF COMPUTATIONAL METHODS APPLIED IN MOLECULAR MODELING OF CAFFEINE WITH EPITHELIAL ANTICANCER ACTIVITY: THEORETICAL STUDY OF GEOMETRIC, THERMOCHEMICAL AND SPECTROMETRIC DATA Costa,Josivan da Silva validation DFT/B3LYP HF basis set correlation |
title_short |
VALIDATION OF COMPUTATIONAL METHODS APPLIED IN MOLECULAR MODELING OF CAFFEINE WITH EPITHELIAL ANTICANCER ACTIVITY: THEORETICAL STUDY OF GEOMETRIC, THERMOCHEMICAL AND SPECTROMETRIC DATA |
title_full |
VALIDATION OF COMPUTATIONAL METHODS APPLIED IN MOLECULAR MODELING OF CAFFEINE WITH EPITHELIAL ANTICANCER ACTIVITY: THEORETICAL STUDY OF GEOMETRIC, THERMOCHEMICAL AND SPECTROMETRIC DATA |
title_fullStr |
VALIDATION OF COMPUTATIONAL METHODS APPLIED IN MOLECULAR MODELING OF CAFFEINE WITH EPITHELIAL ANTICANCER ACTIVITY: THEORETICAL STUDY OF GEOMETRIC, THERMOCHEMICAL AND SPECTROMETRIC DATA |
title_full_unstemmed |
VALIDATION OF COMPUTATIONAL METHODS APPLIED IN MOLECULAR MODELING OF CAFFEINE WITH EPITHELIAL ANTICANCER ACTIVITY: THEORETICAL STUDY OF GEOMETRIC, THERMOCHEMICAL AND SPECTROMETRIC DATA |
title_sort |
VALIDATION OF COMPUTATIONAL METHODS APPLIED IN MOLECULAR MODELING OF CAFFEINE WITH EPITHELIAL ANTICANCER ACTIVITY: THEORETICAL STUDY OF GEOMETRIC, THERMOCHEMICAL AND SPECTROMETRIC DATA |
author |
Costa,Josivan da Silva |
author_facet |
Costa,Josivan da Silva Santos,Cleydson Breno Rodrigues dos Costa,Karina da Silva Lopes Ramos,Ryan da Silva Silva,Carlos Henrique Tomich de Paula da Macêdo,Williams Jorge da Cruz |
author_role |
author |
author2 |
Santos,Cleydson Breno Rodrigues dos Costa,Karina da Silva Lopes Ramos,Ryan da Silva Silva,Carlos Henrique Tomich de Paula da Macêdo,Williams Jorge da Cruz |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Costa,Josivan da Silva Santos,Cleydson Breno Rodrigues dos Costa,Karina da Silva Lopes Ramos,Ryan da Silva Silva,Carlos Henrique Tomich de Paula da Macêdo,Williams Jorge da Cruz |
dc.subject.por.fl_str_mv |
validation DFT/B3LYP HF basis set correlation |
topic |
validation DFT/B3LYP HF basis set correlation |
description |
Models validation in QSAR, pharmacophore, docking, and others, can ensure the accuracy and reliability of future predictions in design and selection of molecules with biological activity. In these study, the caffeine molecule was optimized using Hartree-Fock (HF) and Density Functional Theory (DFT/B3LYP) methods, with seven basis sets. Linear correlation data, errors and RMSD values between theoretical and experimental data allowed us to classify the methods and basis sets for evaluating their correspondence with experimental data (geometric parameters, heat capacity, as well as Infrared, Raman and NMR spectra). The HF method has shown the highest correspondence with the experimental data, occupying the top-five rank of the general classification. The HF/6-31G** method was the best one classified and it can be used to model the biological activity of the caffeine molecule. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-07-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422018000700732 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422018000700732 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.21577/0100-4042.20170239 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Química |
publisher.none.fl_str_mv |
Sociedade Brasileira de Química |
dc.source.none.fl_str_mv |
Química Nova v.41 n.7 2018 reponame:Química Nova (Online) instname:Sociedade Brasileira de Química (SBQ) instacron:SBQ |
instname_str |
Sociedade Brasileira de Química (SBQ) |
instacron_str |
SBQ |
institution |
SBQ |
reponame_str |
Química Nova (Online) |
collection |
Química Nova (Online) |
repository.name.fl_str_mv |
Química Nova (Online) - Sociedade Brasileira de Química (SBQ) |
repository.mail.fl_str_mv |
quimicanova@sbq.org.br |
_version_ |
1750318119185809408 |