use the ESM3 model to predict protein structures
Create 3D models from text or images
Generate random 3D torus knots
Image to 3D with DPT + 3D Point Cloud
Reconstruct 3D Gaussians from unposes images.
Gradio demo of CharacterGen (SIGGRAPH 2024)
Generate 3D scenes with dynamic lighting and shapes
Run a web app for creating 3D models
View 3D models in AR/VR using your phone
Generate dynamic 3D torus knot shapes
text-to-3D & image-to-3D
Create interactive 3D scenes with torus knots
Create a dynamic 3D scene with random shapes and lights
Conformity Protein Dynamics is a cutting-edge tool in the field of 3D modeling, designed to predict and analyze protein structures. Leveraging the power of the ESM3 model, it enables researchers to predict protein conformations and visualize their dynamics with high accuracy. The tool incorporates features like noise simulation and molecular dynamics (MD) frames, making it a versatile solution for understanding protein behavior under various conditions.
What models does Conformity Protein Dynamics use?
Conformity Protein Dynamics primarily uses the ESM3 model for protein structure prediction, known for its high accuracy in generating 3D protein conformations.
How do I interpret the MD frames generated by the tool?
MD frames represent snapshots of protein movements over time. They can be analyzed to understand flexibility, binding sites, and conformational changes.
Can I customize the noise levels in simulations?
Yes, users can adjust noise levels to simulate different environmental conditions, allowing for more realistic protein behavior analysis.