القائمة
Rank perturbation targets by drugability, pathway relevance, and safety given constraints.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
Manage the BioAPEX current-feature workflow from scoping through review and completion
Turn an analysis request into a Slurm-ready execution plan with commands, resource assumptions, and job structure.
Scale a buffer recipe to a target volume and compute component masses/volumes.
Save a fetched summary or document to the knowledge base for later retrieval (e.g. after PubMed/UniProt lookup).
Interpret scRNA clusters using marker genes and suggest cell type or state.
Critically evaluate a perturbation hypothesis — challenge assumptions, propose negative controls, and flag confounders.
استنادا إلى تصنيف SOC المهني
| name | target_prioritization |
| description | Rank perturbation targets by drugability, pathway relevance, and safety given constraints. |
| category | bio/perturb_seq |
| version | 1 |
| requires_tools | ["fetch_url","search_knowledge_base","python_repl"] |
| requires_network | true |
| user_invocable | true |
| species | any |
| modality | perturb_seq |
| stage | prioritization |
| stability | experimental |
| safety_level | medium |
User has a list of candidate genes or perturbations and wants them ranked by suitability for follow-up (drugability, pathway, safety).
Local: Use search_knowledge_base for lab-specific target lists or constraints.
Annotate: For each candidate, use fetch_url (UniProt/Open Targets/DrugBank if available) to get:
Score: In python_repl, build a simple score (e.g. 0–1 for druggable, pathway relevance, safety) and rank.
Present: Ranked table with short justification per target and caveats (e.g. "limited drug data").
