SMILES_RDKit_Py3DMOL_FORK
Generate 3D molecular models from SMILES strings
You May Also Like
View AllDpt Depth Estimation + 3D
Image to 3D with DPT + 3D Point Cloud
NJ 02 H5 AR VR IOT
Create an immersive 3D scene with moving lights
CraftsMan: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner
Generate 3D models from images
LGM
Generate 3D content from images or text
TRELLIS
Scalable and Versatile 3D Generation from images
3D Room Layout Estimation LGT-Net
Generate 3D room layouts from RGB panoramas
SK 02 H5 AR VR IOT
Create an immersive 3D scene with dynamic lighting
3D Game Maker
create games with AI
AW 02 H5 AR VR IOT
Create a dynamic torus knot scene with random properties
Experimental Moondream WebGPU
Render beautiful graphics with Moondream WebGPU
DI PCG
Gradio Demo of DI-PCG
Das3r
Generate a 3D model and video from images
What is SMILES_RDKit_Py3DMOL_FORK ?
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.
Features
⢠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.
How to use SMILES_RDKit_Py3DMOL_FORK ?
- Install the Tool: Use pip to install the package:
pip install SMILES_RDKit_Py3DMOL_FORK. - Import Libraries: Import the required modules in your Python script:
from SMILES_RDKit_Py3DMOL_FORK import smiles_to_3d - Convert SMILES to 3D: Use the
smiles_to_3dfunction to generate a 3D model:molecule = smiles_to_3d("CC(=O)Nc1ccc(cc1)C(=O)N") # Example SMILES string - Visualize the Model: Render the 3D model using Py3DMOL:
molecule.visualize()
Frequently Asked Questions
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.