COMPUTATIONAL STUDY OF THE INTERACTION BETWEEN INDENE PYRAZOLE AND CYCLIN DEPENDENT KINASE 2
Autor(a) principal: | |
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Data de Publicação: | 2017 |
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=S0100-40422017000400413 |
Resumo: | Proteins have been traditionally out of reach of electronic structure methods. But with technological advances in the development of powerful computers and the need to extend the methods of computational chemistry to problems of biological interest, such as the rational design of drugs, new technologies in silico have been developed that allow to study condensed systems of phase, which consist of thousands of atoms. Here, there are some techniques that combine two or more methods of calculating in a calculation that allows precise chemical exploration of very large systems. The aim of this work is to find the binding affinity of CDK2 inhibitors calculating their electronic densities and then comparing the similarities of these with the biological activity of ligands developing a QSAR in order to establish correlations between quantum similarity, which is a physical-chemical property and biological activity of said set of molecules that change their properties by varying any of their substituents. |
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COMPUTATIONAL STUDY OF THE INTERACTION BETWEEN INDENE PYRAZOLE AND CYCLIN DEPENDENT KINASE 2CDK2QSARDockingQuantum SimilarityPLSProteins have been traditionally out of reach of electronic structure methods. But with technological advances in the development of powerful computers and the need to extend the methods of computational chemistry to problems of biological interest, such as the rational design of drugs, new technologies in silico have been developed that allow to study condensed systems of phase, which consist of thousands of atoms. Here, there are some techniques that combine two or more methods of calculating in a calculation that allows precise chemical exploration of very large systems. The aim of this work is to find the binding affinity of CDK2 inhibitors calculating their electronic densities and then comparing the similarities of these with the biological activity of ligands developing a QSAR in order to establish correlations between quantum similarity, which is a physical-chemical property and biological activity of said set of molecules that change their properties by varying any of their substituents.Sociedade Brasileira de Química2017-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422017000400413Química Nova v.40 n.4 2017reponame:Química Nova (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.21577/0100-4042.20170023info:eu-repo/semantics/openAccessTorres,Juan EnriqueToro,Juan PabloVergara,JavierBaldiris,RosaReyes,Ricardo Vivaseng2017-06-07T00:00:00Zoai:scielo:S0100-40422017000400413Revistahttps://www.scielo.br/j/qn/ONGhttps://old.scielo.br/oai/scielo-oai.phpquimicanova@sbq.org.br1678-70640100-4042opendoar:2017-06-07T00:00Química Nova (Online) - Sociedade Brasileira de Química (SBQ)false |
dc.title.none.fl_str_mv |
COMPUTATIONAL STUDY OF THE INTERACTION BETWEEN INDENE PYRAZOLE AND CYCLIN DEPENDENT KINASE 2 |
title |
COMPUTATIONAL STUDY OF THE INTERACTION BETWEEN INDENE PYRAZOLE AND CYCLIN DEPENDENT KINASE 2 |
spellingShingle |
COMPUTATIONAL STUDY OF THE INTERACTION BETWEEN INDENE PYRAZOLE AND CYCLIN DEPENDENT KINASE 2 Torres,Juan Enrique CDK2 QSAR Docking Quantum Similarity PLS |
title_short |
COMPUTATIONAL STUDY OF THE INTERACTION BETWEEN INDENE PYRAZOLE AND CYCLIN DEPENDENT KINASE 2 |
title_full |
COMPUTATIONAL STUDY OF THE INTERACTION BETWEEN INDENE PYRAZOLE AND CYCLIN DEPENDENT KINASE 2 |
title_fullStr |
COMPUTATIONAL STUDY OF THE INTERACTION BETWEEN INDENE PYRAZOLE AND CYCLIN DEPENDENT KINASE 2 |
title_full_unstemmed |
COMPUTATIONAL STUDY OF THE INTERACTION BETWEEN INDENE PYRAZOLE AND CYCLIN DEPENDENT KINASE 2 |
title_sort |
COMPUTATIONAL STUDY OF THE INTERACTION BETWEEN INDENE PYRAZOLE AND CYCLIN DEPENDENT KINASE 2 |
author |
Torres,Juan Enrique |
author_facet |
Torres,Juan Enrique Toro,Juan Pablo Vergara,Javier Baldiris,Rosa Reyes,Ricardo Vivas |
author_role |
author |
author2 |
Toro,Juan Pablo Vergara,Javier Baldiris,Rosa Reyes,Ricardo Vivas |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Torres,Juan Enrique Toro,Juan Pablo Vergara,Javier Baldiris,Rosa Reyes,Ricardo Vivas |
dc.subject.por.fl_str_mv |
CDK2 QSAR Docking Quantum Similarity PLS |
topic |
CDK2 QSAR Docking Quantum Similarity PLS |
description |
Proteins have been traditionally out of reach of electronic structure methods. But with technological advances in the development of powerful computers and the need to extend the methods of computational chemistry to problems of biological interest, such as the rational design of drugs, new technologies in silico have been developed that allow to study condensed systems of phase, which consist of thousands of atoms. Here, there are some techniques that combine two or more methods of calculating in a calculation that allows precise chemical exploration of very large systems. The aim of this work is to find the binding affinity of CDK2 inhibitors calculating their electronic densities and then comparing the similarities of these with the biological activity of ligands developing a QSAR in order to establish correlations between quantum similarity, which is a physical-chemical property and biological activity of said set of molecules that change their properties by varying any of their substituents. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-05-01 |
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=S0100-40422017000400413 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422017000400413 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.21577/0100-4042.20170023 |
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.40 n.4 2017 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_ |
1750318118298714112 |