Cargando…
DG-Affinity: predicting antigen–antibody affinity with language models from sequences
BACKGROUND: Antibody-mediated immune responses play a crucial role in the immune defense of human body. The evolution of bioengineering has led the progress of antibody-derived drugs, showing promising efficacy in cancer and autoimmune disease therapy. A critical step of this development process is...
Autores principales: | Yuan, Ye, Chen, Qushuo, Mao, Jun, Li, Guipeng, Pan, Xiaoyong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644518/ https://www.ncbi.nlm.nih.gov/pubmed/37957563 http://dx.doi.org/10.1186/s12859-023-05562-z |
Ejemplares similares
-
Maximum-Entropy Models of Sequenced Immune Repertoires Predict Antigen-Antibody Affinity
por: Asti, Lorenzo, et al.
Publicado: (2016) -
On the Rapid Calculation of Binding Affinities for Antigen and Antibody Design and Affinity Maturation Simulations
por: Conti, Simone, et al.
Publicado: (2022) -
AREA-AFFINITY: A Web Server for Machine
Learning-Based Prediction of Protein–Protein and Antibody–Protein
Antigen Binding Affinities
por: Yang, Yong Xiao, et al.
Publicado: (2023) -
Learned features of antibody-antigen binding affinity
por: Miller, Nathaniel L., et al.
Publicado: (2023) -
Experimental Immunization Based on Plasmodium Antigens Isolated by Antibody Affinity
por: Kamali, Ali N., et al.
Publicado: (2015)