LIT-PCBA five-target screening (Shen et al. 2025 Table 4)
Rank the experimentally measured actives and inactives of five LIT-PCBA targets with a co-folding confidence score or a docking baseline, and report the enrichment factor and the normalised enrichment factor at 1% per target and averaged.
Overview
An explanatory profile has not yet been reviewed for this record.
Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
7 recorded evaluations, 84 metric rows. A comparison chart has not yet been validated for these results. The table retains the individual findings and their sources.
Results
Results are available, but no reviewed comparison panel is linked in this release.
All evaluations
7 evaluations · 84 results. Different protocols are not a single leaderboard.
Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) · Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025
Sorted by Enrichment factor (EF at the top 1% of the ranked library, averaged over the five targets) (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.
| Tested configuration | Enrichment factor (EF at the top 1% of the ranked library, averaged over the five targets) | Enrichment factor (EF at the top 1% of the ranked library, LIT-PCBA target ESR_ago) | Enrichment factor (EF at the top 1% of the ranked library, LIT-PCBA target ESR_antago) | Enrichment factor (EF at the top 1% of the ranked library, LIT-PCBA target MAPK1) | Enrichment factor (EF at the top 1% of the ranked library, LIT-PCBA target PPARG) | Enrichment factor (EF at the top 1% of the ranked library, LIT-PCBA target TP53) | Normalized enrichment factor (NEF at the top 1% of the ranked library, averaged over the five targets) | Normalized enrichment factor (NEF at the top 1% of the ranked library, LIT-PCBA target ESR_ago) | Normalized enrichment factor (NEF at the top 1% of the ranked library, LIT-PCBA target ESR_antago) | Normalized enrichment factor (NEF at the top 1% of the ranked library, LIT-PCBA target MAPK1) | Normalized enrichment factor (NEF at the top 1% of the ranked library, LIT-PCBA target PPARG) | Normalized enrichment factor (NEF at the top 1% of the ranked library, LIT-PCBA target TP53) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Boltz-2 (min-iPAE) as a screening scoreEvaluation | 9.3 (best in column) | 15.4 (best in column) | 2.91 | 2.59 | 25.6 (best in column) | 0 | 0.1 (best in column) | 0.154 (best in column) | 0.059 | 0.026 | 0.259 (best in column) | 0 |
| Boltz-2 (ipTM) as a screening scoreEvaluation | 8.09 | 7.69 | 3.88 | 3.24 (best in column) | 25.6 (best in column) | 0 | 0.089 | 0.077 | 0.078 | 0.032 (best in column) | 0.259 (best in column) | 0 |
| Protenix (ipTM) as a screening scoreEvaluation | 7.58 | 7.69 | 1.94 | 1.3 | 22 | 5 (best in column) | 0.089 | 0.077 | 0.039 | 0.013 | 0.222 | 0.093 (best in column) |
| Glide_SP docking baselineEvaluation | 6.79 | 7.69 | 1.94 | 2.27 | 18.3 | 3.75 | 0.079 | 0.077 | 0.039 | 0.023 | 0.185 | 0.07 |
| Gnina (CNNscore) docking baselineEvaluation | 6.1 | 7.69 | 2.91 | 1.62 | 18.3 | 0 | 0.067 | 0.077 | 0.059 | 0.016 | 0.185 | 0 |
| Gnina (CNNaffinity) docking baselineEvaluation | 3.15 | 7.69 | 4.85 (best in column) | 1.95 | 0 | 1.25 | 0.044 | 0.077 | 0.098 (best in column) | 0.019 | 0 | 0.023 |
| Gnina (Vina) docking baselineEvaluation | 2.82 | 7.69 | 3.88 | 1.3 | 0 | 1.25 | 0.038 | 0.077 | 0.078 | 0.013 | 0 | 0.023 |
All 84 result rows with coverage, uncertainty and sources
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Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: Boltz-2 (ipTM) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 8.09 Enrichment factor (EF at the top 1% of the ranked library, averaged over the five targets) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (ipTM) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (ipTM)', column 'Average' (EF1%) |
| Configuration: Boltz-2 (ipTM) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 0.089 Normalized enrichment factor (NEF at the top 1% of the ranked library, averaged over the five targets) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (ipTM) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (ipTM)', column 'Average' (NEF1%) |
| Configuration: Boltz-2 (ipTM) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 7.69 Enrichment factor (EF at the top 1% of the ranked library, LIT-PCBA target ESR_ago) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (ipTM) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (ipTM)', column 'ESR_ago' (EF1%) |
| Configuration: Boltz-2 (ipTM) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 0.077 Normalized enrichment factor (NEF at the top 1% of the ranked library, LIT-PCBA target ESR_ago) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (ipTM) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (ipTM)', column 'ESR_ago' (NEF1%) |
| Configuration: Boltz-2 (ipTM) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 3.88 Enrichment factor (EF at the top 1% of the ranked library, LIT-PCBA target ESR_antago) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (ipTM) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (ipTM)', column 'ESR_antago' (EF1%) |
| Configuration: Boltz-2 (ipTM) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 0.078 Normalized enrichment factor (NEF at the top 1% of the ranked library, LIT-PCBA target ESR_antago) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (ipTM) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (ipTM)', column 'ESR_antago' (NEF1%) |
| Configuration: Boltz-2 (ipTM) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 3.24 Enrichment factor (EF at the top 1% of the ranked library, LIT-PCBA target MAPK1) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (ipTM) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (ipTM)', column 'MAPK1' (EF1%) |
| Configuration: Boltz-2 (ipTM) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 0.032 Normalized enrichment factor (NEF at the top 1% of the ranked library, LIT-PCBA target MAPK1) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (ipTM) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (ipTM)', column 'MAPK1' (NEF1%) |
| Configuration: Boltz-2 (ipTM) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 25.6 Enrichment factor (EF at the top 1% of the ranked library, LIT-PCBA target PPARG) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (ipTM) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (ipTM)', column 'PPARG' (EF1%) |
| Configuration: Boltz-2 (ipTM) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 0.259 Normalized enrichment factor (NEF at the top 1% of the ranked library, LIT-PCBA target PPARG) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (ipTM) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (ipTM)', column 'PPARG' (NEF1%) |
| Configuration: Boltz-2 (ipTM) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 0 Enrichment factor (EF at the top 1% of the ranked library, LIT-PCBA target TP53) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (ipTM) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (ipTM)', column 'TP53' (EF1%) |
| Configuration: Boltz-2 (ipTM) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 0 Normalized enrichment factor (NEF at the top 1% of the ranked library, LIT-PCBA target TP53) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (ipTM) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (ipTM)', column 'TP53' (NEF1%) |
| Configuration: Boltz-2 (min-iPAE) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 9.3 Enrichment factor (EF at the top 1% of the ranked library, averaged over the five targets) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (min-iPAE) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (min-iPAE)', column 'Average' (EF1%) |
| Configuration: Boltz-2 (min-iPAE) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 0.1 Normalized enrichment factor (NEF at the top 1% of the ranked library, averaged over the five targets) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (min-iPAE) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (min-iPAE)', column 'Average' (NEF1%) |
| Configuration: Boltz-2 (min-iPAE) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 15.4 Enrichment factor (EF at the top 1% of the ranked library, LIT-PCBA target ESR_ago) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (min-iPAE) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (min-iPAE)', column 'ESR_ago' (EF1%) |
| Configuration: Boltz-2 (min-iPAE) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 0.154 Normalized enrichment factor (NEF at the top 1% of the ranked library, LIT-PCBA target ESR_ago) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (min-iPAE) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (min-iPAE)', column 'ESR_ago' (NEF1%) |
| Configuration: Boltz-2 (min-iPAE) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 2.91 Enrichment factor (EF at the top 1% of the ranked library, LIT-PCBA target ESR_antago) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (min-iPAE) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (min-iPAE)', column 'ESR_antago' (EF1%) |
| Configuration: Boltz-2 (min-iPAE) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 0.059 Normalized enrichment factor (NEF at the top 1% of the ranked library, LIT-PCBA target ESR_antago) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (min-iPAE) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (min-iPAE)', column 'ESR_antago' (NEF1%) |
| Configuration: Boltz-2 (min-iPAE) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 2.59 Enrichment factor (EF at the top 1% of the ranked library, LIT-PCBA target MAPK1) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (min-iPAE) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (min-iPAE)', column 'MAPK1' (EF1%) |
| Configuration: Boltz-2 (min-iPAE) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 0.026 Normalized enrichment factor (NEF at the top 1% of the ranked library, LIT-PCBA target MAPK1) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (min-iPAE) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (min-iPAE)', column 'MAPK1' (NEF1%) |
| Configuration: Boltz-2 (min-iPAE) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 25.6 Enrichment factor (EF at the top 1% of the ranked library, LIT-PCBA target PPARG) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (min-iPAE) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (min-iPAE)', column 'PPARG' (EF1%) |
| Configuration: Boltz-2 (min-iPAE) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 0.259 Normalized enrichment factor (NEF at the top 1% of the ranked library, LIT-PCBA target PPARG) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (min-iPAE) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (min-iPAE)', column 'PPARG' (NEF1%) |
| Configuration: Boltz-2 (min-iPAE) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 0 Enrichment factor (EF at the top 1% of the ranked library, LIT-PCBA target TP53) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (min-iPAE) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (min-iPAE)', column 'TP53' (EF1%) |
| Configuration: Boltz-2 (min-iPAE) as a screening score | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 0 Normalized enrichment factor (NEF at the top 1% of the ranked library, LIT-PCBA target TP53) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceBoltz-2 (min-iPAE) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Boltz-2 (min-iPAE)', column 'TP53' (NEF1%) |
| Configuration: Glide_SP docking baseline | Protocol: LIT-PCBA five-target screening (Shen et al. 2025 Table 4) Dataset: LIT-PCBA five-target subset as scored by Shen et al. 2025 | 6.79 Enrichment factor (EF at the top 1% of the ranked library, averaged over the five targets) unitless · higher Uncertainty: Not reported by the source: The source prints no interval or spread for this value Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGlide_SP on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4) hitdisc-20261022-protocol-shen-litpcba5 Aggregation: Not reported Shen et al. 2025, Chemical Science (Europe PMC full text) · Table 4, row 'Glide_SP', column 'Average' (EF1%) |
Source checking is not independent reproduction. Release 2026-10-22-1b7cf027e4f6.
Methods and evaluation design
Procedure, tasks and evaluated configurations
Recorded evaluations
Each evaluation records what was tested and under which conditions.
- Boltz-2 (ipTM) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4)
- Boltz-2 (min-iPAE) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4)
- Glide_SP on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4)
- Gnina (CNNaffinity) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4)
- Gnina (CNNscore) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4)
- Gnina (Vina) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4)
- Protenix (ipTM) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4)
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- 7
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Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
1 source record and release history
- Shen et al. 2025, Chemical Science (Europe PMC full text) · Original source · PMC12704515 (Chem Sci, published 2025-12-11)
Technical metadata and extraction receipts
Stable ID: hitdisc-20261022-protocol-shen-litpcba5
- areas
- molecular-interactions
- contexts
- research
- task
- Protein-ligand virtual screening (library ranking)
- publication status
- peer_reviewed
- review
- method: scope-review; automated-source-review; reviewer: claude; reviewer note: Claude review agent, independent of the extraction agent; no human review claimed; date: 2026-10-22; method note: Read the record against the pinned sources and against docs/use-cases.md and docs/record-contract.md.; note: Record checked against the pinned source and the record contract. Transcription checked; not reproduced and not reviewed by a human scientist.; artifact sha256: 11a4cee97057d9e72f9393024d22fdd169e3134f493367eee2f7869facf9ccf8; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12704515/fullTextXML; receipt: data/omics/use-case-coverage-hitdisc-20261022/review.json
- metric
- enrichment-factor
- metric direction
- higher
- unit
- unitless
- metric qualifier
- EF at the top 1% of the ranked library, per target and averaged over the five targets
- metric definition
- EF1% is the ratio of true positives found in the top 1% of the ranked compounds relative to random selection. NEF1% is the observed EF1% divided by its theoretical maximum at that threshold, which confines it to [0, 1] and corrects for the different actives-to-inactives ratios between targets (Table 4 footnote a).
- protocol
- One structure selected from the recommended PDB entries per target for docking; ligands prepared with LigPrep; co-folding, Glide and Gnina applied to the same compounds.
- denominator
- 5
- version
- Shen et al. 2025, Table 4
- source locator
- Table 4 and footnote a
- control
- The actives and inactives are both experimentally measured, so the negatives are assayed rather than synthetic.
- limitations
- Enrichment factors depend on the actives-to-inactives ratio and on how the negatives were built, which differ by more than an order of magnitude between the benchmarks in this store (1:30 for DEKOIS 2.0, 1:50 for GPCRrecent, and from about 1:43 to about 1:200 across the five LIT-PCBA targets scored here, reaching about 1:18000 for LIT-PCBA ADRB2). Values from different protocols are not comparable.; Huang, Knight and Naprienko 2025 audit LIT-PCBA and conclude that analogue and 2D-identical-compound leakage between its splits lets a parameter-free memorisation baseline match or exceed published results, that nearly all published LIT-PCBA results are undermined, and that the benchmark does not measure recovery of novel chemotypes. That bears on every value from this protocol.; Five of the 15 LIT-PCBA targets were screened, chosen for size; MTORC1 meets the size criterion but was excluded for ambiguous binding sites, which is a selection the authors made rather than a property of the benchmark.; Only EF1% and NEF1% are printed for this table; no AUROC or BEDROC column is given.; AF3 was not run on this set.
- scope note
- Retrospective: the method ranks a curated set of actives and negatives that were assembled before the evaluation, not compounds selected and then tested.
Related records
- evaluates task: Protein–ligand virtual screening
- uses data: LIT-PCBA five-target subset as scored by Shen et al. 2025
- part of: LIT-PCBA
- assessment: Boltz-2 (ipTM) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4)
- assessment: Boltz-2 (min-iPAE) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4)
- assessment: Glide_SP on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4)
- assessment: Gnina (CNNaffinity) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4)
- assessment: Gnina (CNNscore) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4)
- assessment: Gnina (Vina) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4)
- assessment: Protenix (ipTM) on the LIT-PCBA five-target subset (Shen et al. 2025 Table 4)
- used in: LIT-PCBA ESR_ago
- used in: LIT-PCBA ESR_antago
- used in: LIT-PCBA MAPK1
- used in: LIT-PCBA PPARG
- used in: LIT-PCBA TP53
- subject: LIT-PCBA dataset subsets: used_in retargeted from a dataset to the protocol
- assessed by: Find hits for a target by virtual screening