protein-protein interaction

BiGMINT: Biologically-guided Hierarchical Multimodal Integration for Modeling Multiple Compound Activities in Drug Discovery CVPR 2026 Machine Learning Models Assisting the Development of Antibody Therapeutics and Vaccines – an Emerging Trend AAAI 2026 RAGPPI: Retrieval-Augmented Generation Benchmark for Protein–Protein Interactions in Drug Discovery EACL 2026 Topology-Enhanced and Label Correlation-Aware Model for Protein-Protein Interaction Prediction AAAI 2026 Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions ICLR 2025 GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction Exploration NAACL 2025 Improving Cancer Gene Prediction by Enhancing Common Information Between the PPI Network and Gene Functional Association AAAI 2025 Large Language and Protein Assistant for Protein-Protein Interactions Prediction ACL 2025 Rethinking Cancer Gene Identification Through Graph Anomaly Analysis AAAI 2025 Evaluating Large Language Models for Predicting Protein Behavior under Radiation Exposure and Disease Conditions ACL 2024 Learning to design protein-protein interactions with enhanced generalization ICLR 2024 Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning ICML 2024 MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding ICLR 2024 Protein Multimer Structure Prediction via Prompt Learning ICLR 2024 Cross-Domain Relation Adaptation ACML 2023 Extracting Drug-Drug and Protein-Protein Interactions from Text using a Continuous Update of Tree-Transformers ACL 2023 Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model NeurIPS 2023 SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein–Protein Interaction Prediction IJCAI 2023 OntoProtein: Protein Pretraining With Gene Ontology Embedding ICLR 2022 PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding NeurIPS 2022 Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures AAAI 2022 Fast End-to-End Learning on Protein Surfaces CVPR 2021 Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction IJCAI 2021 Amalgamation of protein sequence, structure and textual information for improving protein-protein interaction identification ACL 2020 BioRelEx 1.0: Biological Relation Extraction Benchmark ACL 2019