use the ESM3 model to predict protein structures
Generate a dynamic 3D scene with rotating lights and knots
Explore a 3D map by flying through it
Image to 3D with DPT + 3D Point Cloud
Display fractal patterns using L-systems
Create an interactive 3D sphere fountain that follows your mouse
View 3D models in AR/VR using your phone
Create a 3D scene with spinning lights and random torus knots
Create a dynamic 3D scene with moving lights and shapes
Display 3D recursive polygons and math functions
Create 3D recursive polygons and math functions
Render beautiful graphics with Moondream WebGPU
Generate 3D recursive polygons and math functions
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.