Advancing oral delivery of biologics: Machine learning predicts peptide stability in the gastrointestinal tract.
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Trust & Context
- Original Title:
- Advancing oral delivery of biologics: Machine learning predicts peptide stability in the gastrointestinal tract.
- Published In:
- International journal of pharmaceutics, 634, 122643 (2023)
- Authors:
- Wang, Fanjin, Sangfuang, Nannapat, McCoubrey, Laura E, Yadav, Vipul, Elbadawi, Moe, Orlu, Mine, Gaisford, Simon, Basit, Abdul W
- Database ID:
- RPEP-07507
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Cite This Study
https://rethinkpeptides.com/research/RPEP-07507APA
Wang, Fanjin; Sangfuang, Nannapat; McCoubrey, Laura E; Yadav, Vipul; Elbadawi, Moe; Orlu, Mine; Gaisford, Simon; Basit, Abdul W. (2023). Advancing oral delivery of biologics: Machine learning predicts peptide stability in the gastrointestinal tract.. International journal of pharmaceutics, 634, 122643. https://doi.org/10.1016/j.ijpharm.2023.122643
MLA
Wang, Fanjin, et al. "Advancing oral delivery of biologics: Machine learning predicts peptide stability in the gastrointestinal tract.." International journal of pharmaceutics, 2023. https://doi.org/10.1016/j.ijpharm.2023.122643
RethinkPeptides
RethinkPeptides Research Database. "Advancing oral delivery of biologics: Machine learning predi..." RPEP-07507. Retrieved from https://rethinkpeptides.com/research/wang-2023-advancing-oral-delivery-of
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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.