Data & ReproProtein Structure & DesignFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction
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protein-qc

Maintainer FreedomIntelligence · Last updated April 1, 2026

Quality control metrics and filtering thresholds for protein design. Use this skill when: (1) Evaluating design quality for binding, expression, or structure, (2) Setting filtering thresholds for pLDDT, ipTM, PAE, (3) Checking sequence liabilities (cysteines, deamidation, polybasic clusters), (4) Creating multi-stage filtering pipelines, (5) Computing PyRosetta interface metrics (dG, SC, dSASA), (6) Checking biophys….

OpenClawNanoClawAnalysisReproductionprotein-qc🔬 omics & computational biologyprotein structure & designquality

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/protein-qc

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • designs = designs[designs['pLDDT'] > 0.85].
  • designs = designs[designs['scRMSD'] < 2.0].

Source Doc

Excerpt From SKILL.md

Critical Limitation

Individual metrics have weak predictive power for binding. Research shows:

  • Individual metric ROC AUC: 0.64-0.66 (slightly better than random)
  • Metrics are pre-screening filters, not affinity predictors
  • Composite scoring is essential for meaningful ranking

These thresholds filter out poor designs but do NOT predict binding affinity.

QC Organization

QC is organized by purpose and level:

PurposeWhat it assessesKey metrics
BindingInterface quality, binding geometryipTM, PAE, SC, dG, dSASA
ExpressionManufacturability, solubilityInstability, GRAVY, pI, cysteines
StructuralFold confidence, consistencypLDDT, pTM, scRMSD

Each category has two levels:

  • Metric-level: Calculated values with thresholds (pLDDT > 0.85)
  • Design-level: Pattern/motif detection (odd cysteines, NG sites)

Quick Reference: All Thresholds

CategoryMetricStandardStringentSource
StructuralpLDDT> 0.85> 0.90AF2/Chai/Boltz
pTM> 0.70> 0.80AF2/Chai/Boltz
scRMSD< 2.0 Å< 1.5 ÅDesign vs pred
BindingipTM> 0.50> 0.60AF2/Chai/Boltz
PAE_interaction< 12 Å< 10 ÅAF2/Chai/Boltz
Shape Comp (SC)> 0.50> 0.60PyRosetta
interface_dG< -10< -15PyRosetta
ExpressionInstability< 40< 30BioPython
GRAVY< 0.4< 0.2BioPython
ESM2 PLL> 0.0> 0.2ESM2

Use cases

  • Use protein-qc in research workflows aligned with this subject area.
  • Follow the upstream documentation for the full working procedure.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

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