Generate 3D molecular models from SMILES strings
Display fractal patterns using L-systems
Generate 3D fractal structures using L-system rules
The AniMer Demo
Image to 3D with DPT + 3D Point Cloud
generate any 3d looking art in seconds.
Create a 3D model from an image in 10 seconds!
Visualize 3D character motion in a dynamic simulation
Explore and vote on 3D arenas in a leaderboard
Generate interactive 3D torus knots in a virtual environment
Generate dynamic 3D torus knot shapes
Generate 3D models from images
Explore Minnesota with a 3D video map
SMILES_RDKit_Py3DMOL_FORK is a tool designed to generate 3D molecular models from SMILES strings. It leverages the power of RDKit for chemical structure processing and Py3DMOL for 3D visualization, making it a robust solution for chemists and researchers to convert 2D chemical representations into interactive 3D models.
• SMILES String Conversion: Easily convert SMILES strings into 3D molecular structures. • 3D Visualization: Generate high-quality 3D molecular models using Py3DMOL. • Chemical Manipulation: Utilize RDKit's capabilities for molecular structure manipulation and analysis. • Customizable Visualizations: Adjust visual properties such as colors, bond styles, and atom labels. • Cross-Platform Compatibility: Run the tool on Windows, macOS, and Linux systems. • Integration Ready: Easily integrate with other cheminformatics pipelines and workflows.
pip install SMILES_RDKit_Py3DMOL_FORK.from SMILES_RDKit_Py3DMOL_FORK import smiles_to_3d
smiles_to_3d function to generate a 3D model:
molecule = smiles_to_3d("CC(=O)Nc1ccc(cc1)C(=O)N") # Example SMILES string
molecule.visualize()
What is the input format for SMILES strings?
The input should be a valid SMILES string, such as "CC(=O)Nc1ccc(cc1)C(=O)N".
Can I customize the appearance of the 3D model?
Yes, you can customize colors, bond styles, and atom labels using Py3DMOL's styling options.
Is the tool compatible with all operating systems?
Yes, SMILES_RDKit_Py3DMOL_FORK is designed to work on Windows, macOS, and Linux.