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Default Scoring Pipeline

1Sequence Design
ProteinMPNN

Generate diverse sequences for candidate backbones.

mpnn_score, seq_recovery
2Fast Screening
ESMFold

Rapid pLDDT filter to reduce pool before expensive validation.

binder_plddt ≥ 80
3Complex Validation
AlphaFold2

High-accuracy multimer prediction to validate binder–target interface.

complex_iptm, i_psae
4Ranking
AF2Rank

Rank designs by predicted experimental success probability.

composite_score

Metric Reference

Confidence

pLDDTHigher is better (0–100). Per-residue structure confidence.
pTMHigher is better (0–1). Full chain TM-score.
ipTMHigher is better (0–1). Interface TM-score. Key binder metric.

Interface Quality

i_paeLower is better. Mean interface predicted aligned error.
i_psaeLower is better. Interface score from aligned errors.
ΔSASAHigher is better. Buried solvent-accessible surface area.

Structural Comparison

RMSDLower is better. Root mean square deviation from reference.
TM-scoreHigher is better (0–1). Topological similarity.

Sequence Quality

PerplexityLower is better. ESM-2 sequence plausibility.
RecoveryHigher is better. Fraction of native sequence recovered by MPNN.

Recommended Filter Thresholds

MetricRecommendedHigh Quality
complex_iptm≥ 0.70≥ 0.75
complex_plddt≥ 80.0≥ 85.0
complex_i_psae_mean≤ 6.0≤ 5.0
binder_plddt≥ 85.0≥ 87.0
mpnn_score≥ 0.4≥ 0.5
binder_RMSD≤ 2.5≤ 2.0
tm_score≥ 0.5≥ 0.6

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