Cargando…
Improving the accuracy of the structure prediction of the third hypervariable loop of the heavy chains of antibodies
Motivation: Antibodies are able to recognize a wide range of antigens through their complementary determining regions formed by six hypervariable loops. Predicting the 3D structure of these loops is essential for the analysis and reengineering of novel antibodies with enhanced affinity and specifici...
Autores principales: | Messih, Mario Abdel, Lepore, Rosalba, Marcatili, Paolo, Tramontano, Anna |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173008/ https://www.ncbi.nlm.nih.gov/pubmed/24930144 http://dx.doi.org/10.1093/bioinformatics/btu194 |
Ejemplares similares
-
LoopIng: a template-based tool for predicting the structure of protein loops
por: Messih, Mario Abdel, et al.
Publicado: (2015) -
The association of heavy and light chain variable domains in antibodies: implications for antigen specificity
por: Chailyan, Anna, et al.
Publicado: (2011) -
PIGSPro: prediction of immunoGlobulin structures v2
por: Lepore, Rosalba, et al.
Publicado: (2017) -
Synthetic peptides corresponding to third hypervariable region of human monoclonal IgM rheumatoid factor heavy chains define an immunodominant idiotype
Publicado: (1985) -
Molecular mechanism of amyloidogenic mutations in hypervariable regions of antibody light chains
por: Rottenaicher, Georg J., et al.
Publicado: (2021)