use the ESM3 model to predict protein structures
Generate 3D mesh from a single image
Explore Minnesota in a 3D VR environment
Explore a 3D map by flying through it
Select and view 3D objects from a dataset
Create 3D recursive polygons and mathematical functions in a virtual environment
Display 3D models using your webcam
The AniMer Demo
Generate random 3D torus knots
create 3d-gltf face-mesh from image with mediapipe
Generate 3D room layouts from RGB panoramas
"One-minute creation by AI Coding Autonomous Agent MOUSE-I"
Render beautiful graphics with Moondream WebGPU
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.