tooluniverse-antibody-engineering

SKILL.md

AI-guided antibody optimization pipeline from preclinical lead to clinical candidate. Covers sequence humanization, structure modeling, affinity optimization, developability assessment, immunogenicity prediction, and manufacturing feasibility.

| IMGTsearchgenes | Germline gene identification | Humanization | | IMGTgetsequence | Human framework sequences | Humanization | | SAbDabsearchstructures | Antibody structure precedents | Structure | | TheraSAbDabsearchbytarget | Clinical antibody benchmarks | Validation | | AlphaFoldgetprediction | Structure modeling | Structure |

| iedbsearchepitopes | Epitope identification | Immunogenicity | | iedbsearchbcell | B-cell epitope prediction | Immunogenicity | | UniProtgetproteinbyaccession | Target antigen information | Target | | STRINGgetinteractions | Protein interaction network | Bispecifics | | PubMedsearch | Literature precedents | Validation |

치료법 개발을 위한 포괄적인 항체 엔지니어링 및 최적화. 인간화, 친화성 성숙, 개발 가능성 평가 및 면역원성 예측을 다룹니다. 항체를 최적화하거나, 서열을 인간화하거나, 리드에서 임상 후보로 치료용 항체를 조작해야 할 때 사용합니다. 출처: mims-harvard/tooluniverse.

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