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Open source protein structure datasets. Point users to repos...
Protein structure datasets for ML training and benchmarking
github.com
github.com
GitHub - BorgwardtLab/proteinshake: Protein structure datasets for machine learning.
Protein
structure
datasets
for
mac...
openreview.net
openreview.net
ProteinShake: Building datasets and benchmarks for deep learning on protein structures | OpenReview
Abstract: We present ProteinShake, ... or load an extensive set of pre-processed datasets from biological data...
github.com
github.com
GitHub - aqlaboratory/proteinnet: Standardized data set for machine learning of protein structure
ProteinNet
is a standardized data set for machine learning of protein structure.
biomedcentral.com
biomedcentral.com
ProteinNet: a standardized data set for machine learning of protein structure | BMC Bioinformatics | Full Text
Background Rapid progress in deep learning has spurred its application to bioinformatics problems including
tensorflow.org
tensorflow.org
protein_net | TensorFlow Datasets
ProteinNet is a standardized data set for machine learning of protein structure
.
nih.gov
nih.gov
SidechainNet: An all-atom protein structure dataset for machine learning - PubMed
In this article, we provide background information on the availability of protein structure data and the signi...
nature.com
nature.com
Benchmarking all-atom biomolecular structure prediction with FoldBench | Nature Communications
We find that AlphaFold 3 leads overall, yet antibody-antigen complexes, allosteric protein-ligand systems, and...
rsc.org
rsc.org
Benchmarking protein structure predictors to assist machine ...
study benchmarked four protein structure prediction methods (
Jpred4, PEP2D, PSIPRED, AlphaFold2)
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