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[Arxiv] Genome modeling and design across all domains of life with Evo 2

[BioArxiv] Sidechain conditioning and modeling for full-atom protein sequence design with FAMPNN

[BIBM 24] LaGDif Latent Graph Diffusion Model for Efficient Protein Inverse Folding with Self-Ensemble

[Arxiv] Mask prior-guided denoising diffusion improves inverse protein folding

[Arxiv] Reinforcement learning on structure-conditioned categorical diffusion for protein inverse folding

[ICLR 24] KW-Design Pushing the Limit of Protein Design via Knowledge Refinement

[Arxiv] A Variational Perspective on Generative Protein Fitness Optimization

[Science Advances] Self-supervised machine learning methods for protein design improve sampling but not the identification of high-fitness variants

[ICLR 25] Steering Protein Family Design through Profile Bayesian Flow

[Arxiv] Calibrating Sequence likelihood Improves Conditional Language Generation

[Arxiv] On Discrete Prompt Optimization for Diffusion Models

[AAAI 25] Controllable Protein Sequence Generation with LLM Preference Optimization

[Arxiv] Likelihood-based Finetuning of Protein Language Models for Few-shot Fitness Prediction and Design

[Arxiv] s1: Simple test-time scaling

[Nature Communication] De novo design of protein minibinder agonists of TLR3

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