AG
数据与复现
agent-browser
Browse the web for any task — research topics, read articles, interact with web apps, fill forms, take screenshots, extr…
FreedomIntelligence/OpenClaw-Medical-Skills查看
数据与复现
BI
bio-immunoinformatics-immunogenicity-scoring
维护者 FreedomIntelligence · 最近更新 2026年4月1日
Score and prioritize neoantigens and epitopes for immunogenicity using multi-factor models combining MHC binding, processing, expression, and sequence features. Rank candidates for vaccine design. Use when prioritizing epitopes for vaccine development or identifying the most immunogenic neoantigens.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-immunoinformatics-immunogenicity-scoring
- 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
核心说明
- Python：mhcflurry ，用于 binding + processing predictions，custom scoring pipeline。
- Rank my neoantigen candidates by immunogenicity" → Score 、 prioritize epitopes ，使用 multi-factor models combining MHC binding，proteasomal processing，expression level，、 sequence foreignness ，用于 vaccine candidate selection. Python：mhcflurry ，用于 binding + processing predictions，custom scoring pipeline。
- Goal：Calculate composite immunogenicity score ，面向 multiple weighted factors (binding，agretopicity，processing，expression，clonality，foreignness)。
- Approach：Score each factor on 0-1 scale，then combine ，通过 weighted sum ，支持 domain-informed weights。
原始文档
SKILL.md 摘录
Processing Prediction
Goal: Predict proteasomal cleavage and TAP transport probability for candidate peptides.
Approach: Use MHCflurry's Class1ProcessingPredictor to score peptide processing likelihood.
Self-Similarity Assessment
Goal: Determine whether a candidate peptide resembles self-peptides, indicating potential T-cell tolerance.
Approach: Compute pairwise sequence identity against a proteome peptide set and flag high-similarity matches.
Hydrophobicity at Position 2
Goal: Assess MHC anchor residue quality by checking hydrophobicity at key positions.
Approach: Check whether position 2 and C-terminal residues fall within the hydrophobic amino acid set preferred by HLA-A*02:01-like alleles.
适用场景
- 适合在prioritizing epitopes ，用于 vaccine development 或 identifying most immunogenic neoantigens时使用。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
上游相关技能
- immunoinformatics/mhc-binding-prediction - Binding affinity component
- immunoinformatics/neoantigen-prediction - Input candidates
- immunoinformatics/epitope-prediction - Epitope identification
相关技能
相关技能
AL
数据与复现
alpha-vantage
Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ t…
K-Dense-AI/claude-scientific-skills查看
BI
Filter alignments by flag, quality, region, or paired status.
FreedomIntelligence/OpenClaw-Medical-Skills查看
BI
Index BAM/CRAM files with samtools index for random access.
FreedomIntelligence/OpenClaw-Medical-Skills查看