# Nano Helix AI

> AI-powered structural-biology application built on PyMOL; integrates models such as Boltz (AlphaFold-3), RFdiffusion and RFAntibody

**Wikidata**: [Q135088649](https://www.wikidata.org/wiki/Q135088649)  
**Source**: https://4ort.xyz/entity/nano-helix-ai

## Summary
Nano Helix AI is an AI-powered structural biology application built on PyMOL, integrating advanced models such as Boltz (AlphaFold-3), RFdiffusion, and RFAntibody to support protein structure prediction and analysis. It runs on Microsoft Windows and macOS, with the latest stable version (1.0.8) released on July 23, 2025. The platform is designed to streamline structural biology workflows for researchers and scientists.

## Key Facts
- **Aliases**: NanoHelix, Nano Helix Platform
- **Latest Version**: 1.0.8 (released July 23, 2025)
- **Operating Systems**: Microsoft Windows, macOS
- **Integrated Models**: Boltz (AlphaFold-3), RFdiffusion, RFAntibody
- **Source Code Repository**: https://github.com/luispetersen/NanoHelix
- **Website**: https://nanohelix.ai
- **Initial Release**: Version 1.0.0 (February 19, 2025)

## FAQs
### Q: What is Nano Helix AI used for?
A: Nano Helix AI is used for structural biology research, enabling protein structure prediction and analysis through integrated AI models like AlphaFold-3 and RFdiffusion.

### Q: What operating systems does Nano Helix AI support?
A: It supports Microsoft Windows and macOS.

### Q: How can I access Nano Helix AI?
A: The application is available via its official website (https://nanohelix.ai) and GitHub repository (https://github.com/luispetersen/NanoHelix).

## Why It Matters
Nano Helix AI addresses critical challenges in structural biology by providing a unified platform for advanced protein structure modeling. By integrating cutting-edge AI tools such as AlphaFold-3, RFdiffusion, and RFAntibody, it enables researchers to predict and analyze biomolecular structures with high accuracy, accelerating discoveries in drug development and biomedical research. Its compatibility with PyMOL—a widely used visualization tool—ensures seamless integration into existing workflows, fostering collaboration and innovation in the scientific community.

## Notable For
- **Unified AI Integration**: Combines multiple state-of-the-art models (Boltz, RFdiffusion, RFAntibody) in a single PyMOL-based interface.
- **Cross-Platform Support**: Operates on both Windows and macOS, enhancing accessibility for diverse research environments.
- **Rapid Iteration**: Released 8 stable versions between February and July 2025, reflecting active development and responsiveness to user needs.

## Body
### Overview
Nano Helix AI is a PyMOL-built application designed to streamline structural biology research. It integrates AI-driven models for protein structure prediction, including Boltz (AlphaFold-3), RFdiffusion, and RFAntibody, to support tasks such as antibody design and protein-ligand interaction analysis.

### Development and Versions
- **Initial Release**: Version 1.0.0 (February 19, 2025)
- **Latest Release**: Version 1.0.8 (July 23, 2025), with updates addressing performance and compatibility.
- **Version History**: 1.0.0 to 1.0.8, with incremental improvements released approximately every 2–4 weeks.

### Key Features
- **Model Integration**: 
  - **Boltz (AlphaFold-3)**: Enhanced protein structure prediction.
  - **RFdiffusion**: Advanced diffusion-based modeling.
  - **RFAntibody**: Specialized antibody structure prediction.
- **PyMOL Compatibility**: Leverages PyMOL’s visualization and analysis capabilities.

### System Requirements
- **Operating Systems**: Microsoft Windows (since 1985), macOS (since 2001).
- **Installation**: Available via GitHub releases and the official website.

### Accessibility
- **Open Source**: Source code hosted on GitHub (https://github.com/luispetersen/NanoHelix).
- **Documentation**: Release notes and updates tracked publicly.

## Schema Markup
```json
{
  "@context": "https://schema.org",
  "@type": "Thing",
  "name": "Nano Helix AI",
  "description": "AI-powered structural-biology application built on PyMOL; integrates models such as Boltz (AlphaFold-3), RFdiffusion and RFAntibody",
  "url": "https://nanohelix.ai",
  "sameAs": ["https://github.com/luispetersen/NanoHelix"],
  "additionalType": "application",
  "version": "1.0.8",
  "operatingSystem": ["Microsoft Windows", "macOS"]
}

## References

1. [Release 1.0.0. 2025](https://github.com/luispetersen/NanoHelix/releases/tag/v1.0.0)
2. [Release 1.0.1. 2025](https://github.com/luispetersen/NanoHelix/releases/tag/v1.0.1)
3. [Release 1.0.2. 2025](https://github.com/luispetersen/NanoHelix/releases/tag/v1.0.2)
4. [Release 1.0.3. 2025](https://github.com/luispetersen/NanoHelix/releases/tag/v1.0.3)
5. [Release 1.0.4. 2025](https://github.com/luispetersen/NanoHelix/releases/tag/v1.0.4)
6. [Release 1.0.5. 2025](https://github.com/luispetersen/NanoHelix/releases/tag/v1.0.5)
7. [Release 1.0.6. 2025](https://github.com/luispetersen/NanoHelix/releases/tag/v1.0.6)
8. [Release 1.0.7. 2025](https://github.com/luispetersen/NanoHelix/releases/tag/v1.0.7)
9. [Release 1.0.8. 2025](https://github.com/luispetersen/NanoHelix/releases/tag/v1.0.8)