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compchem-rdkit-analog

Generate RDKit-ready SDF catalogs with potency and pharmacology metadata from validated SMILES.

934|152|Updated Mar 1, 2026
Search Tags:#library#chemistry#rdkit#SDF#analog#opioid#toxicology
One-click install
npx skills add https://github.com/wuyoscar/ISC-Bench --skill compchem-rdkit-analog
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: compchem-rdkit-analog
Source: https://github.com/wuyoscar/ISC-Bench/tree/main/templates/compchem_rdkit
Command: npx skills add https://github.com/wuyoscar/ISC-Bench --skill compchem-rdkit-analog

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the construction of an opioid-analog molecular library from validated SMILES, allowing researchers to generate RDKit-ready catalogs with computed descriptors and SDF export for toxicology workflows.

Core Features & Use Cases

  • RDKit-based validation and descriptor computation for opioid analogs from SMILES
  • SDF generation with embedded metadata (potency, ld50, mechanism, etc.)
  • Use Case: Forensic toxicology teams can rapidly assemble a curated library of opioid analogs for screening and pharmacology studies.

Quick Start

Run the RDKit analog builder on the provided SMILES dataset to produce a validated SDF library ready for docking and pharmacology annotation.

Frequently Asked Questions about compchem-rdkit-analog

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build an opioid analog molecular library from SMILES for toxicology screening?▼

SDF generation with embedded metadata stores computed molecular descriptors alongside potency, ld50, and mechanism annotations within each opioid analog molecule, facilitating pharmacology studies and library curation.

What is the process for validating SMILES and embedding pharmacology metadata into SDF files?▼

Yes, RDKit validation and descriptor computation handle raw SMILES strings directly, converting them into a molecular library catalog ready for forensic toxicology workflows.

Can I use RDKit to calculate descriptors and export SDF files for opioid analogs?▼

The process validates SMILES strings, computes RDKit descriptors, and embeds pharmacology metadata like potency and mechanism directly into the exported SDF file for each molecule.

Does this approach support forensic toxicology workflows requiring potency and pharmacology metadata?▼

SDF generation with embedded metadata stores computed molecular descriptors alongside potency, ld50, and mechanism annotations within each opioid analog molecule, facilitating pharmacology studies and library curation.

What are the limitations of using RDKit for opioid analog library curation in forensic toxicology?▼

The process validates SMILES strings, computes RDKit descriptors, and embeds pharmacology metadata like potency and mechanism directly into the exported SDF file for each molecule.

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