Machine learning-guided optimization of triple agonist peptide therapeutics for metabolic disease.
Quick Facts
What This Study Found
Key Numbers
How They Did This
Why This Research Matters
What This Study Doesn't Tell Us
Trust & Context
- Original Title:
- Machine learning-guided optimization of triple agonist peptide therapeutics for metabolic disease.
- Published In:
- Frontiers in bioinformatics, 5, 1687617 (2025)
- Authors:
- Wong, Anthony, Guduri, Sanskruthi, Chen, TsungYen, Patel, Kunal
- Database ID:
- RPEP-14171
Evidence Hierarchy
Read More on RethinkPeptides
Related articles coming soon.
Cite This Study
https://rethinkpeptides.com/research/RPEP-14171APA
Wong, Anthony; Guduri, Sanskruthi; Chen, TsungYen; Patel, Kunal. (2025). Machine learning-guided optimization of triple agonist peptide therapeutics for metabolic disease.. Frontiers in bioinformatics, 5, 1687617. https://doi.org/10.3389/fbinf.2025.1687617
MLA
Wong, Anthony, et al. "Machine learning-guided optimization of triple agonist peptide therapeutics for metabolic disease.." Frontiers in bioinformatics, 2025. https://doi.org/10.3389/fbinf.2025.1687617
RethinkPeptides
RethinkPeptides Research Database. "Machine learning-guided optimization of triple agonist pepti..." RPEP-14171. Retrieved from https://rethinkpeptides.com/research/wong-2025-machine-learningguided-optimization-of
Access the Original Study
Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.
This study breakdown was produced by the RethinkPeptides research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.