Proteomics and Machine Learning Approaches Reveal a Set of Prognostic Markers for COVID-19 Severity With Drug Repurposing Potential

Proteomics and Machine Learning Approaches Reveal a Set of Prognostic Markers for COVID-19 Severity With Drug Repurposing Potential

The pestilential pathogen SARS-CoV-2 has led to a seemingly ceaseless pandemic of COVID-19. The healthcare sector is under a tremendous burden, thus necessitating the prognosis of COVID-19 severity. This in-depth study of plasma proteome alteration provides insights into the host physiological respo...

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Bibliographic Details
Main Authors: Kruthi Suvarna, Deeptarup Biswas, Medha Gayathri J. Pai, Arup Acharjee, Renuka Bankar, Viswanthram Palanivel, Akanksha Salkar, Ayushi Verma, Amrita Mukherjee, Manisha Choudhury, Saicharan Ghantasala, Susmita Ghosh, Avinash Singh, Arghya Banerjee, Apoorva Badaya, Surbhi Bihani, Gaurish Loya, Krishi Mantri, Ananya Burli, Jyotirmoy Roy, Alisha Srivastava, Sachee Agrawal, Om Shrivastav, Jayanthi Shastri, Sanjeeva Srivastava
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Physiology
Subjects:
COVID-19 plasma
host response
mass spectrometry
molecular pathways
prognostic biomarkers
proteomics
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2021.652799/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2021.652799/full

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