Machine-Learning-Guided Peptide Drug Discovery: Development of GLP-1 Receptor Agonists with Improved Drug Properties.
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Trust & Context
- Original Title:
- Machine-Learning-Guided Peptide Drug Discovery: Development of GLP-1 Receptor Agonists with Improved Drug Properties.
- Published In:
- Journal of medicinal chemistry, 67(14), 11814-11826 (2024)
- Authors:
- Nielsen, Jens Christian, Hjo Rringgaard, Claudia, Nygaard, Mads Mo Rup, Wester, Anita, Elster, Lisbeth, Porsgaard, Trine, Mikkelsen, Randi Bonke, Rasmussen, Silas, Madsen, Andreas Nygaard, Schlein, Morten, Vrang, Niels, Rigbolt, Kristoffer, Dalbo Ge, Louise S
- Database ID:
- RPEP-08955
Evidence Hierarchy
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Cite This Study
https://rethinkpeptides.com/research/RPEP-08955APA
Nielsen, Jens Christian; Hjo Rringgaard, Claudia; Nygaard, Mads Mo Rup; Wester, Anita; Elster, Lisbeth; Porsgaard, Trine; Mikkelsen, Randi Bonke; Rasmussen, Silas; Madsen, Andreas Nygaard; Schlein, Morten; Vrang, Niels; Rigbolt, Kristoffer; Dalbo Ge, Louise S. (2024). Machine-Learning-Guided Peptide Drug Discovery: Development of GLP-1 Receptor Agonists with Improved Drug Properties.. Journal of medicinal chemistry, 67(14), 11814-11826. https://doi.org/10.1021/acs.jmedchem.4c00417
MLA
Nielsen, Jens Christian, et al. "Machine-Learning-Guided Peptide Drug Discovery: Development of GLP-1 Receptor Agonists with Improved Drug Properties.." Journal of medicinal chemistry, 2024. https://doi.org/10.1021/acs.jmedchem.4c00417
RethinkPeptides
RethinkPeptides Research Database. "Machine-Learning-Guided Peptide Drug Discovery: Development ..." RPEP-08955. Retrieved from https://rethinkpeptides.com/research/nielsen-2024-machinelearningguided-peptide-drug-discovery
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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.