deepchem
About
DeepChem provides extensive molecular featurization options and pre-built datasets for property prediction tasks like ADMET and toxicity. It's ideal for quick experiments using traditional ML or GNNs with MoleculeNet benchmarks and pre-trained models. For graph-first PyTorch workflows, consider torchdrug; for benchmark datasets, use pytdc.
Quick Install
Claude Code
Recommendednpx skills add mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills- -a claude-code/plugin add https://github.com/mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills-git clone https://github.com/mdbabumiamssm/LLMs-Universal-Life-Science-and-Clinical-Skills-.git ~/.claude/skills/deepchemCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the deepchem skill?
deepchem is a Claude Skill by mdbabumiamssm. Skills package instructions and resources that Claude loads on demand, so Claude can perform deepchem-related tasks without extra prompting.
How do I install deepchem?
Use the install commands on this page: add deepchem to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does deepchem belong to?
deepchem is in the Design category, tagged powerpoint, ai, automation, design and data.
Is deepchem free to use?
Yes. deepchem is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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