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Tag: structure-prediction/training
13 items with this tag.
Apr 21, 2026
AlphaFold3 uses cross-distillation from AlphaFold2 to avoid hallucinating secondary structure in low-pLDDT regions
alphafold3
structure-prediction/training
plddt
Apr 21, 2026
Diverse MSAs are better for training structure prediction neural networks than random MSAs
protein-language-models/training
structure-prediction/training
Apr 21, 2026
Fine-tuning AlphaFold for MHC prediction by adding Evoformer layers improves RMSD and pLDDT
alphafold2
structure-prediction/training
plddt
Apr 21, 2026
Fine-tuning base models on test cases can improve the performance of variant effect and structure prediction
protein-language-models/training
structure-prediction/training
plddt
low-rank-adaptation
Apr 21, 2026
IPA-based structure prediction neural networks train sequentially along three spatial axes
structure-prediction/training
alphafold2
Apr 21, 2026
Increasing RosettaFold embedding dimension improves structure prediction
structure-prediction/training
Apr 21, 2026
MSA-based structure prediction models can be retrained as pathogenicity prediction models by upweighting BERT losses
protein-language-models/training
structure-prediction/training
Apr 21, 2026
Protein models designed using inverse folding can be used to supplement training DBs for PLMs and structure prediction models
protein-language-models/training
structure-prediction/training
Apr 21, 2026
RMSD is a poor training objective for structure prediction
structure-prediction/training
Apr 21, 2026
Scrambled MSAs outperform single-sequence-prediction with AlphaFold
alphafold2
structure-prediction/training
Apr 21, 2026
Self-distillation exposes more data to Evoformer
structure-prediction/training
Apr 21, 2026
Training protein structure prediction neural networks on both positive and negative protein-protein interactions improves PPI discrimination
structure-prediction/training
Apr 21, 2026
Including crystal contacts in training data improves sidechain prediction
structure-prediction/training