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Identification of aspirin and diclofenac binding proteins in the red complex pathogens

Red complex organisms are a group of organisms (Porphyromonas gingivalis ATCC 33277, Treponema denticola ATCC 35405, Tannerella forsythia ATCC 43037) that have been identified for the causation of periodontal diseases. Aspirin and diclofenac have been used as regular analgesics. Therefore, it is of...

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Autores principales: Babu, Geethika, Priya, Veeraraghavan Vishnu, Krishnaa, Pothapur Keshaav, Gayathri, Rengasamy, Priyadharsini, Jayaseelan Vijayashree
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340698/
https://www.ncbi.nlm.nih.gov/pubmed/34393436
http://dx.doi.org/10.6026/97320630017192
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author Babu, Geethika
Priya, Veeraraghavan Vishnu
Krishnaa, Pothapur Keshaav
Gayathri, Rengasamy
Priyadharsini, Jayaseelan Vijayashree
author_facet Babu, Geethika
Priya, Veeraraghavan Vishnu
Krishnaa, Pothapur Keshaav
Gayathri, Rengasamy
Priyadharsini, Jayaseelan Vijayashree
author_sort Babu, Geethika
collection PubMed
description Red complex organisms are a group of organisms (Porphyromonas gingivalis ATCC 33277, Treponema denticola ATCC 35405, Tannerella forsythia ATCC 43037) that have been identified for the causation of periodontal diseases. Aspirin and diclofenac have been used as regular analgesics. Therefore, it is of interest to document the identification of aspirin and diclofenac binding proteins in the red complex pathogens using the STITCH v.5 pipeline. The virulence properties of these proteins were analyzed using VICMPred and VirulentPred software. Thus, we document 000 number of proteins having optimal binding features with the known analgesics.
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spelling pubmed-83406982021-08-12 Identification of aspirin and diclofenac binding proteins in the red complex pathogens Babu, Geethika Priya, Veeraraghavan Vishnu Krishnaa, Pothapur Keshaav Gayathri, Rengasamy Priyadharsini, Jayaseelan Vijayashree Bioinformation Research Article Red complex organisms are a group of organisms (Porphyromonas gingivalis ATCC 33277, Treponema denticola ATCC 35405, Tannerella forsythia ATCC 43037) that have been identified for the causation of periodontal diseases. Aspirin and diclofenac have been used as regular analgesics. Therefore, it is of interest to document the identification of aspirin and diclofenac binding proteins in the red complex pathogens using the STITCH v.5 pipeline. The virulence properties of these proteins were analyzed using VICMPred and VirulentPred software. Thus, we document 000 number of proteins having optimal binding features with the known analgesics. Biomedical Informatics 2021-01-31 /pmc/articles/PMC8340698/ /pubmed/34393436 http://dx.doi.org/10.6026/97320630017192 Text en © 2021 Biomedical Informatics https://creativecommons.org/licenses/by/3.0/This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Research Article
Babu, Geethika
Priya, Veeraraghavan Vishnu
Krishnaa, Pothapur Keshaav
Gayathri, Rengasamy
Priyadharsini, Jayaseelan Vijayashree
Identification of aspirin and diclofenac binding proteins in the red complex pathogens
title Identification of aspirin and diclofenac binding proteins in the red complex pathogens
title_full Identification of aspirin and diclofenac binding proteins in the red complex pathogens
title_fullStr Identification of aspirin and diclofenac binding proteins in the red complex pathogens
title_full_unstemmed Identification of aspirin and diclofenac binding proteins in the red complex pathogens
title_short Identification of aspirin and diclofenac binding proteins in the red complex pathogens
title_sort identification of aspirin and diclofenac binding proteins in the red complex pathogens
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340698/
https://www.ncbi.nlm.nih.gov/pubmed/34393436
http://dx.doi.org/10.6026/97320630017192
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