In Silico Target Identification and Validation for Antioxidant and Anti-inflammatory Activity of Selective Phytochemicals.
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Archives of Biology and Technology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132019000100431 |
Resumo: | Abstract Phytochemicals present in plant extract include a number of biological active compounds which have shown promising antioxidant and anti-inflammatory activities in many animal studies. Present knowledge about the biochemical interactions of these compounds present in phytochemical extracts and target enzymes or proteins responsible for antioxidant and anti-inflammatory activity is limited. Present work is an attempt to identify and validate possible biological targets as enzymes or proteins involved in these targeted studies using molecular docking as computational method. IMPPAT: Indian Medicinal Plants, Photochemistry and Therapeutics (a curated database) has been used to retrieve various phytochemicals derived from selected plants which includes Carica papaya, Citrus limon, Curcuma longa, Dalbergia sissoo and Punica granatum. These phytochemicals are further evaluated using molecular docking against three enzymes involved in antioxidant activity which includes Superoxide dismutase (SOD), Glutathione peroxidase (GPX) and Catalase (CAT). Cyclooxigenase-2 (COX-2) has been tested for anti-inflammatory activity of these phytochemicals. Gliadin (Triticum aestivum), Tea Extract (Punica granatum), Hesperidin (Citrus limon), Terrestribisamide (Triticum aestivum), Vitamin P (Carica papaya) and 1,2,6-Trigalloylglucose (Punica granatum) are few phytochemicals which has shown promising binding affinities towards target proteins or enzymes Superoxide dismutase (SOD), Glutathione peroxidase (GPX) and Catalase (CAT) and cyclooxigenase-2 (COX-2). |
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In Silico Target Identification and Validation for Antioxidant and Anti-inflammatory Activity of Selective Phytochemicals.Target identification and validationphytochemicalsantioxidant activityanti-inflammatory activitymolecular dockingAbstract Phytochemicals present in plant extract include a number of biological active compounds which have shown promising antioxidant and anti-inflammatory activities in many animal studies. Present knowledge about the biochemical interactions of these compounds present in phytochemical extracts and target enzymes or proteins responsible for antioxidant and anti-inflammatory activity is limited. Present work is an attempt to identify and validate possible biological targets as enzymes or proteins involved in these targeted studies using molecular docking as computational method. IMPPAT: Indian Medicinal Plants, Photochemistry and Therapeutics (a curated database) has been used to retrieve various phytochemicals derived from selected plants which includes Carica papaya, Citrus limon, Curcuma longa, Dalbergia sissoo and Punica granatum. These phytochemicals are further evaluated using molecular docking against three enzymes involved in antioxidant activity which includes Superoxide dismutase (SOD), Glutathione peroxidase (GPX) and Catalase (CAT). Cyclooxigenase-2 (COX-2) has been tested for anti-inflammatory activity of these phytochemicals. Gliadin (Triticum aestivum), Tea Extract (Punica granatum), Hesperidin (Citrus limon), Terrestribisamide (Triticum aestivum), Vitamin P (Carica papaya) and 1,2,6-Trigalloylglucose (Punica granatum) are few phytochemicals which has shown promising binding affinities towards target proteins or enzymes Superoxide dismutase (SOD), Glutathione peroxidase (GPX) and Catalase (CAT) and cyclooxigenase-2 (COX-2).Instituto de Tecnologia do Paraná - Tecpar2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132019000100431Brazilian Archives of Biology and Technology v.62 2019reponame:Brazilian Archives of Biology and Technologyinstname:Instituto de Tecnologia do Paraná (Tecpar)instacron:TECPAR10.1590/1678-4324-2019190048info:eu-repo/semantics/openAccessRana,ShikhaDixit,SavitaMittal,Alokeng2019-12-12T00:00:00Zoai:scielo:S1516-89132019000100431Revistahttps://www.scielo.br/j/babt/https://old.scielo.br/oai/scielo-oai.phpbabt@tecpar.br||babt@tecpar.br1678-43241516-8913opendoar:2019-12-12T00:00Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar)false |
dc.title.none.fl_str_mv |
In Silico Target Identification and Validation for Antioxidant and Anti-inflammatory Activity of Selective Phytochemicals. |
title |
In Silico Target Identification and Validation for Antioxidant and Anti-inflammatory Activity of Selective Phytochemicals. |
spellingShingle |
In Silico Target Identification and Validation for Antioxidant and Anti-inflammatory Activity of Selective Phytochemicals. Rana,Shikha Target identification and validation phytochemicals antioxidant activity anti-inflammatory activity molecular docking |
title_short |
In Silico Target Identification and Validation for Antioxidant and Anti-inflammatory Activity of Selective Phytochemicals. |
title_full |
In Silico Target Identification and Validation for Antioxidant and Anti-inflammatory Activity of Selective Phytochemicals. |
title_fullStr |
In Silico Target Identification and Validation for Antioxidant and Anti-inflammatory Activity of Selective Phytochemicals. |
title_full_unstemmed |
In Silico Target Identification and Validation for Antioxidant and Anti-inflammatory Activity of Selective Phytochemicals. |
title_sort |
In Silico Target Identification and Validation for Antioxidant and Anti-inflammatory Activity of Selective Phytochemicals. |
author |
Rana,Shikha |
author_facet |
Rana,Shikha Dixit,Savita Mittal,Alok |
author_role |
author |
author2 |
Dixit,Savita Mittal,Alok |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Rana,Shikha Dixit,Savita Mittal,Alok |
dc.subject.por.fl_str_mv |
Target identification and validation phytochemicals antioxidant activity anti-inflammatory activity molecular docking |
topic |
Target identification and validation phytochemicals antioxidant activity anti-inflammatory activity molecular docking |
description |
Abstract Phytochemicals present in plant extract include a number of biological active compounds which have shown promising antioxidant and anti-inflammatory activities in many animal studies. Present knowledge about the biochemical interactions of these compounds present in phytochemical extracts and target enzymes or proteins responsible for antioxidant and anti-inflammatory activity is limited. Present work is an attempt to identify and validate possible biological targets as enzymes or proteins involved in these targeted studies using molecular docking as computational method. IMPPAT: Indian Medicinal Plants, Photochemistry and Therapeutics (a curated database) has been used to retrieve various phytochemicals derived from selected plants which includes Carica papaya, Citrus limon, Curcuma longa, Dalbergia sissoo and Punica granatum. These phytochemicals are further evaluated using molecular docking against three enzymes involved in antioxidant activity which includes Superoxide dismutase (SOD), Glutathione peroxidase (GPX) and Catalase (CAT). Cyclooxigenase-2 (COX-2) has been tested for anti-inflammatory activity of these phytochemicals. Gliadin (Triticum aestivum), Tea Extract (Punica granatum), Hesperidin (Citrus limon), Terrestribisamide (Triticum aestivum), Vitamin P (Carica papaya) and 1,2,6-Trigalloylglucose (Punica granatum) are few phytochemicals which has shown promising binding affinities towards target proteins or enzymes Superoxide dismutase (SOD), Glutathione peroxidase (GPX) and Catalase (CAT) and cyclooxigenase-2 (COX-2). |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 |
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=S1516-89132019000100431 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132019000100431 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4324-2019190048 |
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 |
Instituto de Tecnologia do Paraná - Tecpar |
publisher.none.fl_str_mv |
Instituto de Tecnologia do Paraná - Tecpar |
dc.source.none.fl_str_mv |
Brazilian Archives of Biology and Technology v.62 2019 reponame:Brazilian Archives of Biology and Technology instname:Instituto de Tecnologia do Paraná (Tecpar) instacron:TECPAR |
instname_str |
Instituto de Tecnologia do Paraná (Tecpar) |
instacron_str |
TECPAR |
institution |
TECPAR |
reponame_str |
Brazilian Archives of Biology and Technology |
collection |
Brazilian Archives of Biology and Technology |
repository.name.fl_str_mv |
Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar) |
repository.mail.fl_str_mv |
babt@tecpar.br||babt@tecpar.br |
_version_ |
1750318279253032960 |