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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2022
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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. |
format | Online Article Text |
id | pubmed-10266365 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
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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