Quartz 4
Search
Search
Dark mode
Light mode
Explorer
Tag: thermostability/prediction
20 items with this tag.
Apr 21, 2026
Generic PLMs outperform antibody-specific PLMs on zero-shot predictions of affinity changes
protein-language-models/antibodies
thermostability/prediction
antibody-antigen-interactions/binding-affinity
Apr 21, 2026
A subset of residues is sufficient to predict protein dG
thermostability/prediction
Apr 21, 2026
Adding structural adaptors to language models leads to improvements in thermostability prediction compared to structure-based NNs alone
thermostability/prediction
low-rank-adaptation
Apr 21, 2026
All-atom scoring functions, but not backbone-only scoring functions, correlate with protein stability
thermostability/prediction
Apr 21, 2026
Averaging logits from multiple sources can improve fitness prediction
thermostability/prediction
Apr 21, 2026
Biophysical models trained on single and double point mutations can predict effects of three or more mutations on stability
thermostability/prediction
Apr 21, 2026
Fine-tuning almost always improves property prediction
protein-language-models/training
thermostability/prediction
Apr 21, 2026
Larger PLMs are better at thermostability prediction
thermostability/prediction
Apr 21, 2026
MD trajectories reproduce experimental dG values to within 1 kcal per mol
conformational-dynamics/molecular-dynamics
thermostability/prediction
Apr 21, 2026
MSA-based PLMs outperform generic PLMs on predicting structure and stability
thermostability/prediction
Apr 21, 2026
Protein folding neural networks cannot predict protein stability
structure-prediction/limitations
thermostability/prediction
plddt
Apr 21, 2026
Randomly masking residues prior to running ESMFold allows false positives to be identified more effectively
structure-prediction/limitations
thermostability/prediction
plddt
Apr 21, 2026
Residue conservation and solvent exposure data perform comparably to PLMs at some property prediction tasks
protein-language-models/training
thermostability/prediction
Apr 21, 2026
Structure-based methods outperform sequence-based methods at zero-shot prediction of binding, whereas the reverse is true for zero-shot prediction of enzymatic activity
protein-language-models/representations
thermostability/prediction
Apr 21, 2026
Structure-based methods outperform sequence-based methods on protein stability prediction of point mutants, but not full sequences
thermostability/prediction
Apr 21, 2026
Unfolded and nonfunctional isoforms of folded proteins are incorrectly predicted as folded by protein folding neural networks
structure-prediction/limitations
thermostability/prediction
Apr 21, 2026
ddG predictions calculated from AlphaFold structures are equally accurate as those derived from experimental structures
alphafold2
structure-prediction/sampling
thermostability/prediction
Apr 21, 2026
About 100k datapoints required to train accurate ddG predictor
thermostability/prediction
Apr 21, 2026
Biophysical models outperform linear models for stability prediction
thermostability/prediction
Apr 21, 2026
Including optimal growth temperature during pre-training of PLMs improves prediction and design of thermostability
protein-language-models/training
thermostability/prediction