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protein engineering

12 papers

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Co-occurring keywords · papers mentioning both

generative model (3) bayesian optimization (3) fitness function (1) thermodynamic stability (1) automated machine learning (1) controlled generation (1) wasserstein autoencoder (1) agent framework (1) latent generative model (1) protein sequence design (1)

Papers

AutoProteinEngine: A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein Engineering COLING 2025 Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences ICLR 2025 Protein Fitness Landscape: Spectral Graph Theory Perspective AISTATS 2025 VenusFactory: An Integrated System for Protein Engineering with Data Retrieval and Language Model Fine-Tuning ACL 2025 A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences NeurIPS 2024 Contrastive losses as generalized models of global epistasis NeurIPS 2024 Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization AAAI 2024 Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering NeurIPS 2023 Extrapolative Controlled Sequence Generation via Iterative Refinement ICML 2023 Importance Weighted Expectation-Maximization for Protein Sequence Design ICML 2023 Predicting a Protein's Stability under a Million Mutations NeurIPS 2023 Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models AISTATS 2022