数据与复现蛋白结构与设计FreedomIntelligence/OpenClaw-Medical-Skills数据与复现
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protein-qc

维护者 FreedomIntelligence · 最近更新 2026年4月1日

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….

OpenClawNanoClaw分析处理复现实验protein-qc🔬 omics & computational biologyprotein structure & designquality

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

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

维护者
FreedomIntelligence
许可
MIT
最近更新
2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

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

原始文档

SKILL.md 摘录

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

适用场景

  • Use protein-qc in 科研工作流 aligned ,支持 this subject area。
  • Follow upstream documentation ,用于 full working procedure。

不适用场景

  • Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。

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