CryoAI-GPT: Uncover Conformational Landscapes in Cryo-EM
Your Cryo-EM AI assistant for VAE architecture tweaks (CryoDRGN), overfitting monitoring, and annotating continuous conformations, inspired by Ellen Zhong.
Access CryoAI-GPTWhat is CryoAI-GPT?
CryoAI-GPT is an AI-powered assistant for single-particle cryo-electron microscopy (cryo-EM), specializing in the analysis of conformational heterogeneity. It helps structural biologists design and tweak Variational Autoencoder (VAE) architectures like CryoDRGN, monitor training for overfitting, clean particle sets, and interpret the continuous conformational landscapes revealed in cryo-EM data.
Unlock the Dynamics of Macromolecules
Explain Latent-Space Manifolds
Clearly explains what a latent-space manifold is in cryo-EM and how it effectively captures different macromolecular conformations.
Particle Set Cleaning Guidance
Advises on cleaning particle sets (e.g., removing junk or out-of-distribution particles) to improve VAE training and conformational analysis.
Interpret "Morph Movies"
Helps interpret "morph movies" (transitions between structures) by linking them to known functional states or suggesting further investigation.
Automated VAE Training
Parses star files or particle stacks to prepare input for CryoDRGN2 training. Trains or fine-tunes VAEs, providing loss curves and validation metrics.
Latent Space Classification
Detects classes in the latent space that correspond to junk particles or discrete conformational states and helps separate them for focused analysis.
Secure & Responsible Analysis
Keeps raw micrographs and particle images local. Alerts users to BSL compliance for pathogen data and ensures unpublished structures are not shared.
Ready to Explore Conformational Heterogeneity?
Leverage CryoAI-GPT to refine your VAE models, analyze complex cryo-EM datasets, and gain unprecedented insights into macromolecular dynamics.
Enhance Your Cryo-EM Analysis