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Annotated protein network analysis linking oral diseases


Mukesh Kumar Sharma1, 2, * Vivek Kumar Srivastav1, Chetan Kumar Joshi3, Mohan Kumar4 & Deepak Kumar Sharma5



1Department of Biotechnology, Maharaj Vinayak Global University, Jaipur Rajasthan, India; 2Department of Botany, Vishwa Bharti PG College, Sikar, Rajasthan India; 3Department of Zoology, Govt. Science College, Sikar, Rajasthan, India; 4Gyan Joyti College of Pharmacy and Nursing School, Hazaribagh, Jharkhand, India; 5Department of Conservative and Endodontics, Jaipur Dental College, Jaipur, Rajasthan India; *Corresponding author



Mukesh Kumar Sharma - E-mail: mukeshsharma.dt@gmail.com
Vivek Kumar Srivastav - E-mail: viveksribiotech@gmail.com
Chetan Kumar Joshi - E-mail: cjoshisk@gmail.com
Mohan Kumar - E-mail: mohank087@gmail.com
Deepak Kumar Sharma - E-mail: drdeepaksharma.mds@gmail.com


Article Type

Research Article



Received July 2, 2022; Revised August 31, 2022; Accepted August 31, 2022, Published August 31, 2022



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.



Networking, STRING, oral cancer, bacteria, cystoscope



Sharma et al. Bioinformation 18(8): 724-729 (2022)


Edited by

P Kangueane






Biomedical Informatics



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.