protein structure prediction

Dynamic Geometric Equivariant Network for Full-Atom Antibody Design AAAI 2026 Machine Learning Models Assisting the Development of Antibody Therapeutics and Vaccines – an Emerging Trend AAAI 2026 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance AAAI 2025 dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen AAAI 2025 ProteinBench: A Holistic Evaluation of Protein Foundation Models ICLR 2025 Protein Large Language Models: A Comprehensive Survey EMNLP 2025 Deep Reinforcement Learning for Modelling Protein Complexes ICLR 2024 Design Proteins Using Large Language Models: Enhancements and Comparative Analyses ACL 2024 Evaluating Large Language Models for Predicting Protein Behavior under Radiation Exposure and Disease Conditions ACL 2024 MSA Generation with Seqs2Seqs Pretraining: Advancing Protein Structure Predictions NeurIPS 2024 MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training NeurIPS 2024 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction AAAI 2024 Retrieved Sequence Augmentation for Protein Representation Learning EMNLP 2024 A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps ICLR 2023 DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing NeurIPS 2023 Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds ICML 2023 Graph Denoising Diffusion for Inverse Protein Folding NeurIPS 2023 OpenProteinSet: Training data for structural biology at scale NeurIPS 2023 6DCNN with Roto-Translational Convolution Filters for Volumetric Data Processing AAAI 2022 Antibody-Antigen Docking and Design via Hierarchical Structure Refinement ICML 2022 PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding NeurIPS 2022 Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model ICML 2021 Neural Edit Operations for Biological Sequences NeurIPS 2018 Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images NeurIPS 2016 Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach ICML 2015