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Finding small-molecule binders for a target v1.0.0
Use this resource to identify new small molecules that bind a protein target
New
- 365 downloads
- 138 likes
- 205 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install small-molecule-binder-discoveryWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent assesses the target's druggability, looks up known ligands, expands by similarity, filters ADMET properties and checks synthesis feasibility. You get a step-by-step compound selection report.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
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What you get
- CHECKLIST.md: step checklist
- REPORT_TEMPLATE.md: report template
- SKILL.md: screening strategy and phases
Good fit for
- You need first hits for a target with no known compound
- You must choose compounds before a medicinal chemistry campaign
Not for
Tags
- screening
- small molecules
- ADMET
- hits
About
You say
“Find candidate small molecules for the KRAS protein.”
Skill published by mims-harvard under the Apache-2.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to identify new small molecules that bind a protein target
- Review and adjust the result
Content preview
Files
- CHECKLIST.md8.3 KB
- EXAMPLES.md27 KB
- LICENSE11.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- REPORT_TEMPLATE.md7.5 KB
- SKILL.md14.7 KB
- TOOLS_REFERENCE.md30.8 KB
- WORKFLOW_DETAILS.md20.2 KB
Origin and licence
Listed unmodified
- Author
- mims-harvard
- Source
- github.com/mims-harvard/tooluniverse/tree/169d065deeb3e289b3ff36d665529a123bdad791/skills/tooluniverse-binder-discovery
- Licence
- Apache-2.0
Notice
« tooluniverse-binder-discovery » (mims-harvard, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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