Cargando…
SeRenDIP-CE: sequence-based interface prediction for conformational epitopes
MOTIVATION: Antibodies play an important role in clinical research and biotechnology, with their specificity determined by the interaction with the antigen’s epitope region, as a special type of protein–protein interaction (PPI) interface. The ubiquitous availability of sequence data, allows us to p...
Autores principales: | Hou, Qingzhen, Stringer, Bas, Waury, Katharina, Capel, Henriette, Haydarlou, Reza, Xue, Fuzhong, Abeln, Sanne, Heringa, Jaap, Feenstra, K Anton |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136078/ https://www.ncbi.nlm.nih.gov/pubmed/33974039 http://dx.doi.org/10.1093/bioinformatics/btab321 |
Ejemplares similares
-
PIPENN: protein interface prediction from sequence with an ensemble of neural nets
por: Stringer, Bas, et al.
Publicado: (2022) -
BioASF: a framework for automatically generating executable pathway models specified in BioPAX
por: Haydarlou, Reza, et al.
Publicado: (2016) -
Multi-task learning to leverage partially annotated data for PPI interface prediction
por: Capel, Henriette, et al.
Publicado: (2022) -
Motif-Aware PRALINE: Improving the alignment of motif regions
por: Dijkstra, Maurits, et al.
Publicado: (2018) -
Sequence specificity between interacting and non-interacting homologs identifies interface residues – a homodimer and monomer use case
por: Hou, Qingzhen, et al.
Publicado: (2015)