Cargando…
Identifying well-folded de novo proteins in the new era of accurate structure prediction
Computational de novo protein design tailors proteins for target structures and oligomerisation states with high stability, which allows overcoming many limitations of natural proteins when redesigned for new functions. Despite significant advances in the field over the past decade, it remains chall...
Autores principales: | Peñas-Utrilla, Daniel, Marcos, Enrique |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9581288/ https://www.ncbi.nlm.nih.gov/pubmed/36275629 http://dx.doi.org/10.3389/fmolb.2022.991380 |
Ejemplares similares
-
LZerD Protein-Protein Docking Webserver Enhanced With de novo Structure Prediction
por: Christoffer, Charles, et al.
Publicado: (2021) -
Biasing AlphaFold2 to predict GPCRs and kinases with user-defined functional or structural properties
por: Sala, Davide, et al.
Publicado: (2023) -
AlphaFold Models of Small Proteins Rival the Accuracy of Solution NMR Structures
por: Tejero, Roberto, et al.
Publicado: (2022) -
Tracing Evolution Through Protein Structures: Nature Captured in a Few Thousand Folds
por: Bordin, Nicola, et al.
Publicado: (2021) -
AlphaFold 2 and NMR Spectroscopy: Partners to Understand Protein Structure, Dynamics and Function
por: Laurents, Douglas V.
Publicado: (2022)