genmol-nim

Generate novel drug-like molecules via SAFE notation using GenMol NIM.

413|62|Updated Jun 23, 2026
One-click install
npx skills add https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit --skill genmol-nim
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: genmol-nim
Source: https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit/tree/main/plugins/bionemo-agent-toolkit/skills/genmol-nim
Command: npx skills add https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit --skill genmol-nim

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires safe-mol, requests, and includes references (resource) components.

What problem does it solve?

This skill addresses the bottleneck in early-stage drug discovery by automating the generation of novel, drug-like molecular structures using NVIDIA's GenMol NIM microservice.

Core Features & Use Cases

  • De novo generation: Create new molecular structures from scratch using SAFE notation.
  • Scaffold decoration and motif extension: Grow and optimize existing chemical scaffolds.
  • Lead optimization: Iteratively refine hit molecules to improve QED or LogP scores.

Quick Start

Use the genmol-nim skill to generate 30 novel drug-like molecules using a de novo SAFE mask of 20 to 30 atoms.

Frequently Asked Questions about genmol-nim

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

FAQPage Schema
How do I generate novel drug-like molecules using AI?

To generate drug-like molecules with AI, this skill uses the GenMol NIM microservice and SAFE notation to create structures from scratch or optimize existing scaffolds for pharmaceutical research.

How does SAFE notation work for molecular design and lead optimization?

SAFE notation represents molecular structures to enable AI-driven molecular design. It allows you to perform de novo generation, scaffold decoration, and iterative lead optimization to refine hit molecules and improve QED or LogP scores.

Do I need an NGC_API_KEY to run molecular generation locally?

You need a valid NGC_API_KEY for hosted inference, or alternatively, a local Docker environment with NVIDIA GPU support to run the GenMol NIM microservice for generating drug-like molecular structures.

Can I use this for scaffold decoration and motif extension in drug discovery?

Yes, scaffold decoration and motif extension are core features. The GenMol NIM microservice allows you to grow and optimize existing chemical scaffolds using SAFE notation to support early-stage drug discovery.

What is the best way to iteratively refine hit molecules to improve QED or LogP scores?

The best way to refine hit molecules is through the lead optimization feature, which uses the GenMol NIM microservice to iteratively improve QED or LogP scores by generating optimized drug-like structures via SAFE notation.

What are the limitations of using NIM microservices for de novo molecular generation?

De novo molecular generation via NIM microservices requires either a valid NGC_API_KEY for hosted inference or a local Docker environment with NVIDIA GPU support, limiting use without proper hardware or API access.