Cargando…
Accelerating the prediction and discovery of peptide hydrogels with human-in-the-loop
The amino acid sequences of peptides determine their self-assembling properties. Accurate prediction of peptidic hydrogel formation, however, remains a challenging task. This work describes an interactive approach involving the mutual information exchange between experiment and machine learning for...
Autores principales: | Xu, Tengyan, Wang, Jiaqi, Zhao, Shuang, Chen, Dinghao, Zhang, Hongyue, Fang, Yu, Kong, Nan, Zhou, Ziao, Li, Wenbin, Wang, Huaimin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313671/ https://www.ncbi.nlm.nih.gov/pubmed/37391398 http://dx.doi.org/10.1038/s41467-023-39648-2 |
Ejemplares similares
-
Deep Learning Empowers the Discovery of Self‐Assembling Peptides with Over 10 Trillion Sequences
por: Wang, Jiaqi, et al.
Publicado: (2023) -
Controlling supramolecular filament chirality of hydrogel by co-assembly of enantiomeric aromatic peptides
por: Yang, Xuejiao, et al.
Publicado: (2022) -
Self-assembled peptides-modified flexible field-effect transistors for tyrosinase detection
por: Ren, Huihui, et al.
Publicado: (2021) -
Glutathione-Triggered Formation of a Fmoc-Protected Short Peptide-Based Supramolecular Hydrogel
por: Shi, Yang, et al.
Publicado: (2014) -
Molecular Engineering of Peptide–Drug Conjugates for Therapeutics
por: Fang, Yu, et al.
Publicado: (2022)