'applicability' 검색 결과

Create, revise, or resolve applicability for SDD Composy user stories (US/SC) from an approved PRD and domain evidence, stopping at the human gate. Use after the PRD is approved — 'gerar as histórias de usuário', 'cenários de aceite', 'stories for prd-SLUG', 'is stories NOT_APPLICABLE here'. Do NOT use before the PRD is approved, for the TechSpec, or for user-story writing outside SDD.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Predicts ADMET properties using ADMETlab 3.0 (119 endpoints with uncertainty), ADMET-AI, DeepChem MolNet, and chemprop D-MPNN with explicit handling of OECD QSAR principles, applicability domain assessment, calibration, hERG/CYP/AMES gold-standard endpoints, and PAINS / Lipinski / Ro5 / Veber / BBB druglikeness filters. Use when filtering compounds for drug-likeness, prioritizing leads by predicted safety, or building an in-house ADMET QSAR model.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Builds QSAR / QSPR models using chemprop D-MPNN, MolFormer, Uni-Mol, ChemBERTa, random forest baselines, and Gaussian processes with explicit handling of OECD 5 principles, applicability domain (kNN, leverage, conformal prediction, Mahalanobis), scaffold-balanced splits, ensemble uncertainty, calibration (Platt, isotonic), feature importance (SHAP, atomic attribution), and prospective validation. Use when building target-specific predictive models from in-house bioassay data, ADMET endpoints, or selectivity profiles.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.