| Registro completo |
| Provedor de dados: |
BABT
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| País: |
Brazil
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| Título: |
In Silico Target Identification and Validation for Antioxidant and Anti-inflammatory Activity of Selective Phytochemicals.
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| Autores: |
Rana,Shikha
Dixit,Savita
Mittal,Alok
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| Data: |
2019-01-01
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| Ano: |
2019
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| Palavras-chave: |
Target identification and validation
Phytochemicals
Antioxidant activity
Anti-inflammatory activity
Molecular docking
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| 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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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132019000100431
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| Editor: |
Instituto de Tecnologia do Paraná - Tecpar
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| Relação: |
10.1590/1678-4324-2019190048
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| Formato: |
text/html
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| Fonte: |
Brazilian Archives of Biology and Technology v.62 2019
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| Direitos: |
info:eu-repo/semantics/openAccess
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