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protein structure prediction

26 papers

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Co-occurring keywords

protein structure (59) protein design (32) generative model (2892) protein language model (40) multiple sequence alignment (18) antibody design (15) protein-protein interaction (19) large language model (13587) monte carlo sampling (83) diffusion model (3751)

Papers

Machine Learning Models Assisting the Development of Antibody Therapeutics and Vaccines – an Emerging Trend AAAI 2026
Dynamic Geometric Equivariant Network for Full-Atom Antibody Design AAAI 2026
4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance AAAI 2025
Protein Large Language Models: A Comprehensive Survey EMNLP 2025
dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen AAAI 2025
Evaluating Large Language Models for Predicting Protein Behavior under Radiation Exposure and Disease Conditions ACL 2024
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training NIPS 2024
Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction AAAI 2024
Retrieved Sequence Augmentation for Protein Representation Learning EMNLP 2024
Design Proteins Using Large Language Models: Enhancements and Comparative Analyses ACL 2024
MSA Generation with Seqs2Seqs Pretraining: Advancing Protein Structure Predictions NIPS 2024
OpenProteinSet: Training data for structural biology at scale NIPS 2023
Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds ICML 2023
Graph Denoising Diffusion for Inverse Protein Folding NIPS 2023
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing NIPS 2023
Antibody-Antigen Docking and Design via Hierarchical Structure Refinement ICML 2022
6DCNN with Roto-Translational Convolution Filters for Volumetric Data Processing AAAI 2022
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding NIPS 2022
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model ICML 2021
Neural Edit Operations for Biological Sequences NIPS 2018
Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach ICML 2015
Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction NIPS 2012
Conditional Neural Fields NIPS 2009
An Ab-initio tree-based exploration to enhance sampling of low-energy protein conformations RSS 2009
Feature Selection Methods for Improving Protein Structure Prediction with Rosetta NIPS 2007