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Virtual screening for novel COX-2 inhibitors using the ZINC database
Cyclooxygenase-2 (COX-2) enzyme binds to arachidonic acid and releases metabolites that are used to induce pain and inflammation. COX-2 selective inhibitors such as celecoxib, rofecoxib and valdecoxib are currently used to reduce inflammatory response. However, they lack anti-thrombotic activity and...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Biomedical Informatics Publishing Group
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2478730/ https://www.ncbi.nlm.nih.gov/pubmed/18685718 |
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author | Sudha, Kotaprolu Naga Shakira, Mohammed Prasanthi, Paturi Sarika, Nalla Kumar, Ch Narasimha Babu, Padavala Ajay |
author_facet | Sudha, Kotaprolu Naga Shakira, Mohammed Prasanthi, Paturi Sarika, Nalla Kumar, Ch Narasimha Babu, Padavala Ajay |
author_sort | Sudha, Kotaprolu Naga |
collection | PubMed |
description | Cyclooxygenase-2 (COX-2) enzyme binds to arachidonic acid and releases metabolites that are used to induce pain and inflammation. COX-2 selective inhibitors such as celecoxib, rofecoxib and valdecoxib are currently used to reduce inflammatory response. However, they lack anti-thrombotic activity and hence lead to cardiovascular and renal liabilities apart from gastrointestinal irritation. Therefore, there is still a need to develop more potent COX-2 inhibitors. In this paper, we report the screening of various compounds from the ZINC database (contains 4.6 million small molecule compounds) using the eHiTS (electronic High Throughput Screening) software tool against the COX-2 protein. The strategy employed can be conveniently split into two categories, viz. screening and docking, respectively. Screening was performed using molecular constraints tool to filter compounds with physico-chemical properties similar to the 6COX bound ligand SC-558. The analysis resulted in 1042 Lipinski compliant hits which are docked and scored to identify structurally novel ligands that make similar interactions to those of known ligands or may have different interactions with other parts of the binding site. Our screening approach identified two molecules ZINC00663976 (eHITS score of -7.135 kcal/mol) and ZINC02062094 (eHITS score of -7.242 kcal/mol) from the ZINC database. Their energy scores are better than the 6COX bound co-crystallized ligand SC-558 with an eHiTS score of -6.559 kcal/mol. Both the ligands were docked within the binding pocket forming interactions with Leu352, Phe518, Met522, Val523, Ala527 and Ser353. Visual inspection suggested similar orientation and binding mode for ZINC02062094 with SC-558 ligand. The NH group of the ligand formed hydrogen bond interactions with the backbone NH of Ala527. |
format | Text |
id | pubmed-2478730 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Biomedical Informatics Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-24787302008-08-06 Virtual screening for novel COX-2 inhibitors using the ZINC database Sudha, Kotaprolu Naga Shakira, Mohammed Prasanthi, Paturi Sarika, Nalla Kumar, Ch Narasimha Babu, Padavala Ajay Bioinformation Hypothesis Cyclooxygenase-2 (COX-2) enzyme binds to arachidonic acid and releases metabolites that are used to induce pain and inflammation. COX-2 selective inhibitors such as celecoxib, rofecoxib and valdecoxib are currently used to reduce inflammatory response. However, they lack anti-thrombotic activity and hence lead to cardiovascular and renal liabilities apart from gastrointestinal irritation. Therefore, there is still a need to develop more potent COX-2 inhibitors. In this paper, we report the screening of various compounds from the ZINC database (contains 4.6 million small molecule compounds) using the eHiTS (electronic High Throughput Screening) software tool against the COX-2 protein. The strategy employed can be conveniently split into two categories, viz. screening and docking, respectively. Screening was performed using molecular constraints tool to filter compounds with physico-chemical properties similar to the 6COX bound ligand SC-558. The analysis resulted in 1042 Lipinski compliant hits which are docked and scored to identify structurally novel ligands that make similar interactions to those of known ligands or may have different interactions with other parts of the binding site. Our screening approach identified two molecules ZINC00663976 (eHITS score of -7.135 kcal/mol) and ZINC02062094 (eHITS score of -7.242 kcal/mol) from the ZINC database. Their energy scores are better than the 6COX bound co-crystallized ligand SC-558 with an eHiTS score of -6.559 kcal/mol. Both the ligands were docked within the binding pocket forming interactions with Leu352, Phe518, Met522, Val523, Ala527 and Ser353. Visual inspection suggested similar orientation and binding mode for ZINC02062094 with SC-558 ligand. The NH group of the ligand formed hydrogen bond interactions with the backbone NH of Ala527. Biomedical Informatics Publishing Group 2008-05-13 /pmc/articles/PMC2478730/ /pubmed/18685718 Text en © 2008 Biomedical Informatics Publishing Group 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 Sudha, Kotaprolu Naga Shakira, Mohammed Prasanthi, Paturi Sarika, Nalla Kumar, Ch Narasimha Babu, Padavala Ajay Virtual screening for novel COX-2 inhibitors using the ZINC database |
title | Virtual screening for novel COX-2 inhibitors using the ZINC database |
title_full | Virtual screening for novel COX-2 inhibitors using the ZINC database |
title_fullStr | Virtual screening for novel COX-2 inhibitors using the ZINC database |
title_full_unstemmed | Virtual screening for novel COX-2 inhibitors using the ZINC database |
title_short | Virtual screening for novel COX-2 inhibitors using the ZINC database |
title_sort | virtual screening for novel cox-2 inhibitors using the zinc database |
topic | Hypothesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2478730/ https://www.ncbi.nlm.nih.gov/pubmed/18685718 |
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