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Annotated protein network analysis linking oral diseases

Oral cancer is becoming more common, and it threatens to be a serious worldwide medical issue. Hence, it is of interest to elucidate the networks between proteins and biologically active compounds, as well as their functional annotations, and cell signaling pathways. The online STRING software was u...

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Detalles Bibliográficos
Autores principales: Sharma, Mukesh Kumar, Srivastav, Vivek Kumar, Joshi, Chetan Kumar, Kumar, Mohan, Sharma, Deepak Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266365/
https://www.ncbi.nlm.nih.gov/pubmed/37323560
http://dx.doi.org/10.6026/97320630018724
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author Sharma, Mukesh Kumar
Srivastav, Vivek Kumar
Joshi, Chetan Kumar
Kumar, Mohan
Sharma, Deepak Kumar
author_facet Sharma, Mukesh Kumar
Srivastav, Vivek Kumar
Joshi, Chetan Kumar
Kumar, Mohan
Sharma, Deepak Kumar
author_sort Sharma, Mukesh Kumar
collection PubMed
description Oral cancer is becoming more common, and it threatens to be a serious worldwide medical issue. Hence, it is of interest to elucidate the networks between proteins and biologically active compounds, as well as their functional annotations, and cell signaling pathways. The online STRING software was used to create a molecular genetics interaction network named AZURIN on oral bacterial proteins. We also used the cystoscope software to identify 11 nodes and 16 edges with an average node order of 2.91. Thus, we document data on the interaction of protein networks with other proteins for identifying potential therapeutic drug candidates linked to oral disease.
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spelling pubmed-102663652023-06-15 Annotated protein network analysis linking oral diseases Sharma, Mukesh Kumar Srivastav, Vivek Kumar Joshi, Chetan Kumar Kumar, Mohan Sharma, Deepak Kumar Bioinformation Research Article Oral cancer is becoming more common, and it threatens to be a serious worldwide medical issue. Hence, it is of interest to elucidate the networks between proteins and biologically active compounds, as well as their functional annotations, and cell signaling pathways. The online STRING software was used to create a molecular genetics interaction network named AZURIN on oral bacterial proteins. We also used the cystoscope software to identify 11 nodes and 16 edges with an average node order of 2.91. Thus, we document data on the interaction of protein networks with other proteins for identifying potential therapeutic drug candidates linked to oral disease. Biomedical Informatics 2022-08-31 /pmc/articles/PMC10266365/ /pubmed/37323560 http://dx.doi.org/10.6026/97320630018724 Text en © 2022 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
Sharma, Mukesh Kumar
Srivastav, Vivek Kumar
Joshi, Chetan Kumar
Kumar, Mohan
Sharma, Deepak Kumar
Annotated protein network analysis linking oral diseases
title Annotated protein network analysis linking oral diseases
title_full Annotated protein network analysis linking oral diseases
title_fullStr Annotated protein network analysis linking oral diseases
title_full_unstemmed Annotated protein network analysis linking oral diseases
title_short Annotated protein network analysis linking oral diseases
title_sort annotated protein network analysis linking oral diseases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266365/
https://www.ncbi.nlm.nih.gov/pubmed/37323560
http://dx.doi.org/10.6026/97320630018724
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