degraders
Work on bifunctional degraders and molecular glues, where potency comes from a ternary complex rather than occupancy. Use this skill to apply the property rules that govern this beyond-rule-of-five space, reason about linker length, attachment vector and E3 ligase choice, prepare inputs for ternary complex structure prediction, and interpret degradation readouts — DC50, Dmax, cooperativity, and the hook effect that makes a dose-response curve turn over. Also trigger on PROTAC, molecular glue, targeted protein degradation, E3 ligase, cereblon, VHL, ternary complex, DC50, Dmax, hook effect, cooperativity, or PROTAC-DB.
- Version
- 1.0
- License
- MIT
- Compatibility
- Requires Python 3.10+. The bundled scripts implement degrader property rules, linker metrics, and ternary-complex input preparation using only the standard library. Predicting a ternary structure needs an external tool (PRosettaC, AlphaFold3, or DeepTernary) with its own licence and, in most cases, a GPU.
Pinned to revision f67572246d9b, so it is the text this page describes rather than whatever the author pushed since.
Pre-approved tools experimental
Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.
- Read
- Write
- Edit
- Bash
Files
- skills/degraders/SKILL.md
- skills/degraders/references/degrader-developability.md
- skills/degraders/references/degrader-modalities.md
- skills/degraders/references/ternary-complex.md
- skills/degraders/scripts/degrader_triage.py
- skills/degraders/scripts/protac_properties.py
- skills/degraders/scripts/ternary_setup.py
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