How to build machine learning models able to extrapolate from standard to modified peptides
Raúl Fernández-Díaz, Rodrigo Ochoa, Thanh Lam Hoang, Vanessa Lopez, Denis C. Shields · 2025
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Description
Bioactive peptides are an important class of natural products with great functional versatility. Chemical modifications can improve their pharmacology, yet their structural diversity presents unique challenges for computational modeling. Furthermore, data for standard peptides (composed of the 20 canonical amino acids) is more abundant than for modified ones.
Catalog record
| CREATOR | Raúl Fernández-Díaz, Rodrigo Ochoa, Thanh Lam Hoang, Vanessa Lopez, Denis C. Shields |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 59 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |