Model-Based Optimization on TF-Bind 8
1.58Expected Top 1% ScoreRWR
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| RWRNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.10 | 1.58 | — | — | — | |
| CliqueformerNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.10 | 1.58 | — | — | — | |
| RWRSampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.10 | 1.58 | — | — | — | |
| CliqueformerSampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.10 | 1.58 | — | — | — | |
| RWR2024.10 | 1.58 | — | — | — | |
| Cliqueformer2024.10 | 1.58 | — | — | — | |
| COMsNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.10 | 1.57 | — | — | — | |
| COMsSampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.10 | 1.57 | — | — | — | |
| COMs2024.10 | 1.57 | — | — | — | |
| DDOMNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.10 | 1.55 | — | — | — | |
| DDOMSampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.10 | 1.55 | — | — | — | |
| DDOM2024.10 | 1.55 | — | — | — | |
| TransformerNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.10 | 1.48 | — | — | — | |
| TransformerSampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.10 | 1.48 | — | — | — | |
| Transformer2024.10 | 1.48 | — | — | — | |
| MatchOptNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.10 | 1.47 | — | — | — | |
| MatchOpt2024.10 | 1.47 | — | — | — | |
| Grad.Asc.Number of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.10 | 0.99 | — | — | — | |
| IOMNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.10 | 0.99 | — | — | — | |
| Grad.Asc.Sampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.10 | 0.99 | — | — | — | |
| Grad.Asc.2024.10 | 0.99 | — | — | — | |
| IOM2024.10 | 0.99 | — | — | — | |
| Cliqueformernumber of designs=128, averaging=5 runs2024.10 | — | — | — | 1.48 | |
| COMsnumber of designs=128, averaging=5 runs2024.10 | — | — | — | 1.56 | |
| DDOMnumber of designs=128, averaging=5 runs2024.10 | — | — | — | 1.55 | |
| Grad.Asc.number of designs=128, averaging=5 runs2024.10 | — | — | — | 0.99 | |
| RWRnumber of designs=128, averaging=5 runs2024.10 | — | — | — | 1.6 | |
| Transformernumber of designs=128, averaging=5 runs2024.10 | — | — | — | 1.52 |