Machine Learning Advances in Predicting Peptide/Protein-Protein Interactions Based on Sequence Information for Lead Peptides Discovery.
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 Advances in Predicting Peptide/Protein-Protein Interactions Based on Sequence Information for Lead Peptides Discovery.
- Published In:
- Advanced biology, 7(6), e2200232 (2023)
- Authors:
- Ye, Jiahao, Li, An, Zheng, Hao, Yang, Banghua, Lu, Yiming
- Database ID:
- RPEP-07590
Evidence Hierarchy
Read More on RethinkPeptides
Related articles coming soon.
Cite This Study
https://rethinkpeptides.com/research/RPEP-07590APA
Ye, Jiahao; Li, An; Zheng, Hao; Yang, Banghua; Lu, Yiming. (2023). Machine Learning Advances in Predicting Peptide/Protein-Protein Interactions Based on Sequence Information for Lead Peptides Discovery.. Advanced biology, 7(6), e2200232. https://doi.org/10.1002/adbi.202200232
MLA
Ye, Jiahao, et al. "Machine Learning Advances in Predicting Peptide/Protein-Protein Interactions Based on Sequence Information for Lead Peptides Discovery.." Advanced biology, 2023. https://doi.org/10.1002/adbi.202200232
RethinkPeptides
RethinkPeptides Research Database. "Machine Learning Advances in Predicting Peptide/Protein-Prot..." RPEP-07590. Retrieved from https://rethinkpeptides.com/research/ye-2023-machine-learning-advances-in
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.