medchem
Medicinal chemistry screening filters for compound prioritization; use when you need to apply drug-likeness rules, PAINS/structural alerts, and complexity metrics to triage or optimize libraries.
Veto GatesRequired pass for any deployment consideration
| Dimension | Result | Detail |
|---|---|---|
| Scientific Integrity | PASS | Scientific content remained anchored to fetched metadata or source-linked evidence in the legacy review. |
| Practice Boundaries | PASS | The legacy review kept this workflow on the evidence-access side of the boundary, not the advice-giving side. |
| Methodological Ground | PASS | No methodological-grounding issue was recorded for medchem in the archived evaluation. |
| Code Usability | PASS | The legacy evaluation did not preserve a usability failure in the packaged retrieval path. |
Core Capability87 / 100 — 8 Categories
Medical TaskExecution Average: 87.6 / 100 — Assertions: 20/20 Passed
Screening large compound libraries to quickly triage for drug-like... was evaluated as a bounded documentation path, not as a runnable script workflow.
Flagging problematic chemotypes (e.g., PAINS,... was evaluated as a bounded documentation path, not as a runnable script workflow.
This edge case stayed inside the documented workflow and remained instruction-led.
PAINS and structural alert filtering: curated alert catalogs and... was evaluated as a bounded documentation path, not as a runnable script workflow.
This stress case stayed inside the documented workflow and remained instruction-led.
Key Strengths
- Primary routing is Evidence Insight with execution mode B
- Static quality score is 87/100 and dynamic average is 79.6/100
- Assertions and command execution outcomes are recorded per input for human review
- Execution verification summary: Script verification 0/1; adjustment=0. filter_molecules.py: rc=1