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Ai Cell Biology

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Research Frontiers in Generative Models for Protein Design

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

Latent Space Geometry in Protein Fold Prediction
Diffusion Models for De Novo Enzyme Architecture
Conditional Generation at the Binding Interface
Sequence-Structure Decoupling in Protein Scaffolds
Generative Priors for Evolutionary Constraint Learning
Multi-Modal Protein Design Across Function and Stability
Emergent Motifs in Generatively Designed Proteomes
Thermodynamic Feasibility in Generative Protein Space
Hallucination Mitigation in Structure-Conditioned Generation
Cross-Domain Transfer in Protein Generative Models

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