Cargando…
ProteinNet: a standardized data set for machine learning of protein structure
BACKGROUND: Rapid progress in deep learning has spurred its application to bioinformatics problems including protein structure prediction and design. In classic machine learning problems like computer vision, progress has been driven by standardized data sets that facilitate fair assessment of new m...
Autor principal: | AlQuraishi, Mohammed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560865/ https://www.ncbi.nlm.nih.gov/pubmed/31185886 http://dx.doi.org/10.1186/s12859-019-2932-0 |
Ejemplares similares
-
An affinity-structure database of helix-turn-helix: DNA complexes with a universal coordinate system
por: AlQuraishi, Mohammed, et al.
Publicado: (2015) -
BIOPHYSICAL PREDICTION OF PROTEIN-PEPTIDE INTERACTIONS AND SIGNALING NETWORKS USING MACHINE LEARNING
por: Cunningham, Joseph M., et al.
Publicado: (2020) -
OpenProteinSet: Training data for structural biology at scale
por: Ahdritz, Gustaf, et al.
Publicado: (2023) -
Protein structure prediction by AlphaFold2: are attention and symmetries all you need?
por: Bouatta, Nazim, et al.
Publicado: (2021) -
IntNetDB v1.0: an integrated protein-protein interaction network database generated by a probabilistic model
por: Xia, Kai, et al.
Publicado: (2006)