PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 10, 2026Clinical Proteomics0 citationsOpen Access

Enhancing Personalized COVID-19 Treatment Through Computational Proteomics

Computational proteomics to enhance personalized treatment of COVID-19 and Long COVID

View Full Paper

Authors

DSDebasis SahuWestern UniversityLNLogan R. Van NynattenWestern UniversityDTDavid TweddellWestern University

Discussion

Loading...

Member takes

Overview

Computational proteomics identifies biomarkers and therapeutic targets in COVID-19 and Long COVID, suggesting novel treatment strategies.

Key Points

  • The research aims to improve personalized treatment strategies for COVID-19 and Long COVID by utilizing proteomics to understand molecular changes.
  • Used targeted and untargeted proteomic analyses to investigate plasma samples.
  • Performed cellular deconvolution to assess tissue-specific contributions.
  • Applied bioinformatics and machine learning for biomarker discovery and drug repurposing.
  • Identified disease-relevant pathways that contribute to acute and long-term symptoms.
  • Pinpointed therapeutic targets for both the acute infection phase and Long COVID.
  • Provided insights that facilitate the development of personalized treatment strategies.
Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Sahu et al. (2026) studied this question.

synapsesocial.com/papers/69d895486c1944d70ce0635ehttps://doi.org/10.1186/s12014-026-09601-8
Ask AI
Helpful
Bookmark
Share
View Full Paper