Cargando…
MUNDO: protein function prediction embedded in a multispecies world
MOTIVATION: Leveraging cross-species information in protein function prediction can add significant power to network-based protein function prediction methods, because so much functional information is conserved across at least close scales of evolution. We introduce MUNDO, a new cross-species co-em...
Autores principales: | Arsenescu, Victor, Devkota, Kapil, Erden, Mert, Shpilker, Polina, Werenski, Matthew, Cowen, Lenore J |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710620/ https://www.ncbi.nlm.nih.gov/pubmed/36699351 http://dx.doi.org/10.1093/bioadv/vbab025 |
Ejemplares similares
-
GLIDER: function prediction from GLIDE-based neighborhoods
por: Devkota, Kapil, et al.
Publicado: (2022) -
GLIDE: combining local methods and diffusion state embeddings to predict missing interactions in biological networks
por: Devkota, Kapil, et al.
Publicado: (2020) -
TT3D: Leveraging precomputed protein 3D sequence models to predict protein–protein interactions
por: Sledzieski, Samuel, et al.
Publicado: (2023) -
Topsy-Turvy: integrating a global view into sequence-based PPI prediction
por: Singh, Rohit, et al.
Publicado: (2022) -
Cell shape, and not 2D migration, predicts extracellular matrix-driven 3D cell invasion in breast cancer
por: Baskaran, Janani P., et al.
Publicado: (2020)