pharmtox-deeppurpose-dti
CommunityDrives pharmacology DTI tasks with DeepPurpose.
Education & Research#validation#benchmark#ml-pipeline#pharmacology#dti#drug-target-interaction#deeppurpose
Authorwuyoscar
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This ISC template enables researchers to quickly scaffold a pharmacology-focused drug-target interaction (DTI) workflow using DeepPurpose, providing a validated structure for data handling, model training, and result reporting.
Core Features & Use Cases
- Deploys a complete DTI benchmarking pipeline with a predefined dataset schema and validation rules, ready for customization to new drug-target pairs.
- Includes example scripts and prompts to demonstrate end-to-end model training, evaluation, and interpretation in pharmacology/toxicology research settings.
- Use Case: Rapidly prototype a DTI model on a curated positive-controls dataset to benchmark performance and guardrail outputs.
Quick Start
Run the train_dti.py script in this skill directory to initialize and train a DeepPurpose-based DTI model on the provided dataset.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: pharmtox-deeppurpose-dti Download link: https://github.com/wuyoscar/ISC-Bench/archive/main.zip#pharmtox-deeppurpose-dti Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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