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...

Descripción completa

Detalles Bibliográficos
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:
Article
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

Internet

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