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Ai Molecular Dynamics

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Research Frontiers in Generative Models for de novo Protein Design

Use of diffusion models and variational autoencoders to generate novel protein sequences and structures with desired functional properties.

Latent Geometry of Protein Fold Space
Diffusion Models for Functional Domain Assembly
Sequence-Structure Decoupling in Generative Design
Conditional Generation of Allosteric Mechanisms
Energy Landscape Navigation via Neural Priors
Multi-Scale Protein Generation from Atomic Constraints
Thermodynamic Feasibility in AI-Designed Proteins
Generative Sampling of Protein Binding Interfaces
Evolution-Informed Diffusion for Protein Innovation
Inverse Folding with Functional Annotation Grounding

All AI Molecular Dynamics PhD categories