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rangching/taiwan-scientific-agent-skills

v1.1.0MIT

臺灣學術界適用的繁體中文科學 Agent Skills 庫(中英雙語對照),衍生自 K-Dense Scientific Agent Skills。Ready-to-use scientific Agent Skills for Taiwan academia (zh-Hant-TW / English).

diffdock

DiffDock and DiffDock-L molecular docking. Use for protein-small-molecule pose prediction from PDB or sequence plus SMILES/SDF/MOL2, batch docking, virtual screening, and pose-confidence interpretation. Not for binding affinity prediction.

Version
1.3
License
MIT license
Compatibility
Requires the DiffDock repository, Python 3.9 environment from upstream environment.yml or the official Docker image, RDKit, PyTorch/PyG, and optional CUDA GPU acceleration. Current guidance targets DiffDock v1.1.3 / DiffDock-L.
Read SKILL.md at the source

Pinned to revision 70a605012eee, 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.

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