protein design

Geometric Trajectory Diffusion Models NeurIPS 2024 Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient NeurIPS 2024 KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement ICLR 2024 Protein Discovery with Discrete Walk-Jump Sampling ICLR 2024 Robust Model-Based Optimization for Challenging Fitness Landscapes ICLR 2024 Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation NeurIPS 2024 SurfPro: Functional Protein Design Based on Continuous Surface ICML 2024 UniIF: Unified Molecule Inverse Folding NeurIPS 2024 AbODE: Ab initio antibody design using conjoined ODEs ICML 2023 Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences NeurIPS 2023 Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem ICLR 2023 Extrapolative Controlled Sequence Generation via Iterative Refinement ICML 2023 Full-Atom Protein Pocket Design via Iterative Refinement NeurIPS 2023 Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds ICML 2023 OpenProteinSet: Training data for structural biology at scale NeurIPS 2023 Practical and Asymptotically Exact Conditional Sampling in Diffusion Models NeurIPS 2023 Protein Design with Guided Discrete Diffusion NeurIPS 2023 ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics NeurIPS 2023 ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers NeurIPS 2023 Protein Sequence and Structure Co-Design with Equivariant Translation ICLR 2023 Structure-informed Language Models Are Protein Designers ICML 2023 Biological Sequence Design with GFlowNets ICML 2022 Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design ICLR 2022 Learning inverse folding from millions of predicted structures ICML 2022 Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design ICML 2021