Cargando…
Generating interacting protein sequences using domain-to-domain translation
MOTIVATION: Being able to artificially design novel proteins of desired function is pivotal in many biological and biomedical applications. Generative statistical modeling has recently emerged as a new paradigm for designing amino acid sequences, including in particular models and embedding methods...
Autores principales: | Meynard-Piganeau, Barthelemy, Fabbri, Caterina, Weigt, Martin, Pagnani, Andrea, Feinauer, Christoph |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329493/ https://www.ncbi.nlm.nih.gov/pubmed/37399105 http://dx.doi.org/10.1093/bioinformatics/btad401 |
Ejemplares similares
-
Interpretable pairwise distillations for generative protein sequence models
por: Feinauer, Christoph, et al.
Publicado: (2022) -
Inter-Protein Sequence Co-Evolution Predicts Known Physical Interactions in Bacterial Ribosomes and the Trp Operon
por: Feinauer, Christoph, et al.
Publicado: (2016) -
Fast and Accurate Multivariate Gaussian Modeling of Protein Families: Predicting Residue Contacts and Protein-Interaction Partners
por: Baldassi, Carlo, et al.
Publicado: (2014) -
Efficient generative modeling of protein sequences using simple autoregressive models
por: Trinquier, Jeanne, et al.
Publicado: (2021) -
Author Correction: Efficient generative modeling of protein sequences using simple autoregressive models
por: Trinquier, Jeanne, et al.
Publicado: (2022)