Lakshmi Vandana and Krupanidhi Sreerama*

Department of Biotechnology, Vignan’s Foundation for Science, Technology and Research, India

*Corresponding Author: Krupanidhi Sreerama, Department of Biotechnology, Vignan’s Foundation for Science, Technology and Research, India.

Received: July 15, 2021; Published: July 30, 2021

Abstract

Protein-protein interaction (PPI) is one of the biological integrating communication systems. Also, biological feed-back mechanism is centred on PPI. It is furthermore important to be taken into consideration in viral diseases such as Covid-19 and consequent drug regimens leading to cytokine storm. STRING online resource (https://string-db.org/cgi/network)comprising of compiled data through machine learning tools, wide array of literature resources and embedded interactive platform aiming to explore associations among displayed proteins with combined score in predetermined parameters in the network setting box was adapted in the present study. The query protein viz., IL-6 was chosen to explore its interactions by choosing options in the setting box namely five interactors with zero and three clusters. The output indicated that the displayed network containing query IL-6 with participating five proteins shown to have significantly more interactions than predicted with a combined score of ~0.997. This study would appreciate intricacies involved in cytokine storm among Covid-19 contracted patients.

Keywords: IL-6; STRING Tool; Protein-protein Interaction; Covid-19; Cytokine Storm

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Citation

Citation: Lakshmi Vandana and Krupanidhi Sreerama. “Analysis of IL-6 Interacting Proteins Using STRING Online Resource”. Acta Scientific Computer Sciences 2.5 (2021): 26-30.

Copyright

Copyright: © 2021 Lakshmi Vandana and Krupanidhi Sreerama. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.