Scaling unlocks broader generation and deeper functional understanding of proteins
Prot42：a Novel Family of Protein Language Models for Target-aware Protein Binder Generation
ICLR-2025 Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization
NeurIPS-2024 Multi-Scale Representation Learning for Protein Fitness Prediction
KDD-2023 Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design
ICLR-2025 IgGM：A Generative Model for Functional Antibody and Nanobody Design
FlowDesign：Improved Design of Antibody CDRs Through Flow Matching and Better Prior Distributions
ICLR-2023 Flow Matching for Generative Modeling
ICML-2023 End-to-End Full-Atom Antibody Design
Bioinformatics-2024 Expert-guided protein language models enable accurate and blazingly fast fitness prediction
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