How to Spend Your Oracle Budget: Practical Guidance for Protein Structure Prediction Models
Ranking
Overall
77
Content
95
Popularity
34
Observed public metrics from 1 member.
Merged summary
TL;DR - This study benchmarks oracle-budget-aware guidance methods for protein structure prediction. It finds that method effectiveness depends on budget: O3 performs best at low budgets, while FK-steering and DPO improve as budgets grow.
- Compares O3, FK-steering, DPO, and Best K-of-N sampling under constrained oracle access.
- Extends Optimisation Over Outputs (O3) to protein structure prediction models.
- Evaluates guidance on calmodulin (1CLL) and E. coli aspartate transcarbamoylase (9EEH).
- Provides practical method-selection recommendations rather than identifying one universally dominant approach.
Sources (1)
How to Spend Your Oracle Budget: Practical Guidance for Protein Structure Prediction Models
Public signals
Semantic Scholar citations 0 · Semantic Scholar influential citations 0
TL;DR - This study benchmarks oracle-budget-aware guidance methods for protein structure prediction. It finds that method effectiveness depends on budget: O3 performs best at low budgets, while FK-steering and DPO improve as budgets grow.
- Compares O3, FK-steering, DPO, and Best K-of-N sampling under constrained oracle access.
- Extends Optimisation Over Outputs (O3) to protein structure prediction models.
- Evaluates guidance on calmodulin (1CLL) and E. coli aspartate transcarbamoylase (9EEH).
- Provides practical method-selection recommendations rather than identifying one universally dominant approach.