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Computer aided screening of inhibitors to 5-α reductase type 2 for prostate cancer

Traditionally, drugs are discovered by testing compounds synthesized in time consuming multi-step processes against a battery of invivo biological screens. Promising compounds are then further studied in development, where their pharmacokinetic properties, metabolism and potential toxicity were inve...

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Autores principales: Bhattacharjee, Biplab, Talambedu, Usha, Sadegh, Saremy, Goyal, Arvind Kumar, Pande, Veena, Nagaveni, Madhugiri Bhujangarao, Patil, Vijayakumari Mali, Jayadev, Joshi, Middha, Sushil Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3124690/
https://www.ncbi.nlm.nih.gov/pubmed/21738326
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author Bhattacharjee, Biplab
Talambedu, Usha
Sadegh, Saremy
Goyal, Arvind Kumar
Pande, Veena
Nagaveni, Madhugiri Bhujangarao
Patil, Vijayakumari Mali
Jayadev, Joshi
Middha, Sushil Kumar
author_facet Bhattacharjee, Biplab
Talambedu, Usha
Sadegh, Saremy
Goyal, Arvind Kumar
Pande, Veena
Nagaveni, Madhugiri Bhujangarao
Patil, Vijayakumari Mali
Jayadev, Joshi
Middha, Sushil Kumar
author_sort Bhattacharjee, Biplab
collection PubMed
description Traditionally, drugs are discovered by testing compounds synthesized in time consuming multi-step processes against a battery of invivo biological screens. Promising compounds are then further studied in development, where their pharmacokinetic properties, metabolism and potential toxicity were investigated. Here, we present a study on herbal lead compounds and their potential binding affinity to the effectors molecules of major disease like Prostate Cancer. Clinical studies demonstrate a positive correlation between the extent of 5-α reductase type 2 (isoform 2) and malignant progression of precancerous lesions in prostate. Therefore, identification of effective, well-tolerated 5-α reductase inhibitors represents a rational chemo preventive strategy. This study has investigated the effects of naturally occurring nonprotein compounds berberine and monocaffeyltartaric acid that inhibits 5-α reductase type 2. Our results reveal that these compounds use less energy to bind to 5-α reductase and inhibit its activity. Their high ligand binding affinity to 5-α reductase introduces the prospect for their use in chemopreventive applications. In addition, they are freely available natural compounds that can be safely used to prevent prostate cancer.
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spelling pubmed-31246902011-07-07 Computer aided screening of inhibitors to 5-α reductase type 2 for prostate cancer Bhattacharjee, Biplab Talambedu, Usha Sadegh, Saremy Goyal, Arvind Kumar Pande, Veena Nagaveni, Madhugiri Bhujangarao Patil, Vijayakumari Mali Jayadev, Joshi Middha, Sushil Kumar Bioinformation Hypothesis Traditionally, drugs are discovered by testing compounds synthesized in time consuming multi-step processes against a battery of invivo biological screens. Promising compounds are then further studied in development, where their pharmacokinetic properties, metabolism and potential toxicity were investigated. Here, we present a study on herbal lead compounds and their potential binding affinity to the effectors molecules of major disease like Prostate Cancer. Clinical studies demonstrate a positive correlation between the extent of 5-α reductase type 2 (isoform 2) and malignant progression of precancerous lesions in prostate. Therefore, identification of effective, well-tolerated 5-α reductase inhibitors represents a rational chemo preventive strategy. This study has investigated the effects of naturally occurring nonprotein compounds berberine and monocaffeyltartaric acid that inhibits 5-α reductase type 2. Our results reveal that these compounds use less energy to bind to 5-α reductase and inhibit its activity. Their high ligand binding affinity to 5-α reductase introduces the prospect for their use in chemopreventive applications. In addition, they are freely available natural compounds that can be safely used to prevent prostate cancer. Biomedical Informatics 2011-06-23 /pmc/articles/PMC3124690/ /pubmed/21738326 Text en © 2011 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Hypothesis
Bhattacharjee, Biplab
Talambedu, Usha
Sadegh, Saremy
Goyal, Arvind Kumar
Pande, Veena
Nagaveni, Madhugiri Bhujangarao
Patil, Vijayakumari Mali
Jayadev, Joshi
Middha, Sushil Kumar
Computer aided screening of inhibitors to 5-α reductase type 2 for prostate cancer
title Computer aided screening of inhibitors to 5-α reductase type 2 for prostate cancer
title_full Computer aided screening of inhibitors to 5-α reductase type 2 for prostate cancer
title_fullStr Computer aided screening of inhibitors to 5-α reductase type 2 for prostate cancer
title_full_unstemmed Computer aided screening of inhibitors to 5-α reductase type 2 for prostate cancer
title_short Computer aided screening of inhibitors to 5-α reductase type 2 for prostate cancer
title_sort computer aided screening of inhibitors to 5-α reductase type 2 for prostate cancer
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3124690/
https://www.ncbi.nlm.nih.gov/pubmed/21738326
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