A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity

Antigen immunogenicity and the specificity of binding of T-cell receptors to antigens are key properties underlying effective immune responses. Here we propose diffRBM, an approach based on transfer learning and Restricted Boltzmann Machines, to build sequence-based predictive models of these proper...

Descripción completa

Detalles Bibliográficos
Autores principales: Bravi, Barbara, Di Gioacchino, Andrea, Fernandez-de-Cossio-Diaz, Jorge, Walczak, Aleksandra M, Mora, Thierry, Cocco, Simona, Monasson, Rémi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2023
Materias:
Computational and Systems Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522340/
https://www.ncbi.nlm.nih.gov/pubmed/37681658
http://dx.doi.org/10.7554/eLife.85126

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522340/
https://www.ncbi.nlm.nih.gov/pubmed/37681658
http://dx.doi.org/10.7554/eLife.85126

Ejemplares similares