% Key papers for Diffusion for protein and antibody design (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{neurips2022_antigen_65760, title = {{Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/55183}, } @inproceedings{icml2023_se_42862, title = {{SE(3) diffusion model with application to protein backbone generation}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2023}, url = {https://icml.cc/virtual/2023/poster/24926}, } @inproceedings{neurips2023_graph_69772, title = {{Graph Denoising Diffusion for Inverse Protein Folding}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/70170}, } @inproceedings{icml2024_proteus_44030, title = {{Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34422}, } @inproceedings{icml2024_diffusion_44249, title = {{Diffusion Language Models Are Versatile Protein Learners}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34203}, } @inproceedings{icml2024_protein_44757, title = {{Protein Conformation Generation via Force-Guided SE(3) Diffusion Models}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/33695}, } @inproceedings{neurips2023_pre_69727, title = {{Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/70211}, } @inproceedings{icml2025_diffusion_49036, title = {{Diffusion on Language Model Encodings for Protein Sequence Generation}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/43588}, } @inproceedings{neurips2024_antigen_71338, title = {{Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95910}, } @inproceedings{iclr2025_dplm_80850, title = {{DPLM-2: A Multimodal Diffusion Protein Language Model}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/30917}, } @inproceedings{neurips2024_msagpt_73957, title = {{MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/93555}, } @inproceedings{iclr2025_proteina_82252, title = {{Proteina: Scaling Flow-based Protein Structure Generative Models}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/29538}, } @inproceedings{icml2024_floating_43798, title = {{Floating Anchor Diffusion Model for Multi-motif Scaffolding}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34654}, } @inproceedings{neurips2025_generative_76440, title = {{Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=JPjMXgQQxk}, } @inproceedings{iclr2025_retrieval_82611, title = {{Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2025}, url = {https://iclr.cc/virtual/2025/poster/29186}, } @inproceedings{icml2025_cfp_46638, title = {{CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/45932}, } @inproceedings{icml2025_domain_48327, title = {{Domain-Adapted Diffusion Model for PROTAC Linker Design Through the Lens of Density Ratio in Chemical Space}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/44288}, } @inproceedings{icml2026_td3b_51951, title = {{TD3B: Transition-Directed Discrete Diffusion for Allosteric Binder Generation}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=RNuC8Nj6rD}, } @inproceedings{icml2026_towards_53669, title = {{Towards A Generative Protein Evolution Machine with DPLM-Evo}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=hcFVDmmb0J}, } @inproceedings{icml2026_cross_54125, title = {{Cross-Chirality Generalization by Axial Vectors for Hetero-Chiral Protein-Peptide Interaction Design}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=mAusAlRZ0a}, } @inproceedings{neurips2025_repurposing_76699, title = {{Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=M96edY67nS}, } @inproceedings{neurips2025_ambient_77804, title = {{Ambient Proteins - Training Diffusion Models on Noisy Structures}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=Xll01vw606}, } @inproceedings{iclr2026_scalable_86447, title = {{Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=Q1JpRZkR3S}, } @inproceedings{iclr2026_constrained_88251, title = {{Constrained Diffusion for Protein Design with Hard Structural Constraints}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=kkvqVRu2Zy}, }