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Deepchem

Listed
davila7·vlatest·other·MIT

DeepChem analyzes chemical structures and properties to predict drug candidates & accelerate research by identifying promising compounds.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill deepchem -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 457 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as davila7/claude-code-templates.
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About this skill

What it does

This skill provides access to deep learning models for chemistry, enabling tasks like predicting molecular properties, identifying potential drug candidates, and analyzing chemical reactions. It leverages a robust framework for building and applying machine learning algorithms to chemical data. The tool supports various model types and datasets, allowing for flexible experimentation and analysis.

When to use it

  • Drug Discovery: Predict the efficacy or toxicity of novel compounds.
  • Materials Science: Estimate properties of new materials based on their composition.
  • Chemical Reaction Analysis: Analyze reaction outcomes and optimize conditions.
  • Molecular Property Prediction: Accurately estimate physical and chemical properties of molecules.

Key capabilities

  • Predicting molecular properties
  • Identifying potential drug candidates
  • Analyzing chemical reactions
  • Utilizing various model types
  • Supporting diverse datasets

Example prompts

  • "Can you predict the solubility of this molecule?" (followed by SMILES string)
  • "What are the most promising drug candidates for treating [disease] based on these molecular structures?"
  • “Analyze this chemical reaction and suggest ways to improve yield.”

Tips & gotchas

  • Requires familiarity with chemistry terminology and concepts.
  • Input data should be in a supported format, such as SMILES strings or molecular files.