Papers

Primary peer-reviewed paper, preprint или technical report — с явной меткой статуса. DOI и GitHub вынесены на страницы инструментов.

TitleГодСтатусDOITools
AbDiffuser: full-atom generation of in vitro functioning antibodies2023/2024Preprint10.48550/arXiv.2308.05027AbDiffuser
AlphaProteo generates novel proteins for biology and health2024Preprint Technical report10.48550/arXiv.2409.08022AlphaProteo
AntiFold: improved structure-based antibody design using inverse folding2025Peer-reviewed10.1093/bioadv/vbae202AntiFold
BindCraft: one-shot design of functional protein binders2025Peer-reviewed10.1038/s41586-025-09429-6BindCraft
BoltzGen: universal binder design2025Preprint10.1101/2025.11.20.689494BoltzGen
Illuminating protein space with a programmable generative model2023Peer-reviewed10.1038/s41586-023-06728-8Chroma
Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures2022NeurIPS 2022 main track (A*)NRDiffAb
End-to-End Full-Atom Antibody Design2023ICML 2023 main track (A*)NRdyMEAN
Efficient evolution of human antibodies from general protein language models2024Peer-reviewed10.1038/s41587-023-01763-2Efficient evolution with ESM-1v
Learning inverse folding from millions of predicted structures2022ICML 2022 main track (A*)10.48550/arXiv.2204.07148ESM-IF1
Simulating 500 million years of evolution with a language model2025Peer-reviewed10.1126/science.ads0018ESM3
Protein generation with evolutionary diffusion: sequence is all you need2023/2024Preprint10.1101/2023.09.11.556673EvoDiff
Few-shot learning for protein evolution with EVOLVEpro2025Peer-reviewed10.1126/science.adr6006EVOLVEpro
Flow matching for antibody CDR sequence–structure co-design2025Peer-reviewed10.1016/j.cels.2025.101270FlowDesign
SE(3) diffusion model with application to protein backbone generation2023ICML 2023 main track (A*)NRFrameDiff
HuAbDiffusion: humanized antibody generation from CDRs2025Peer-reviewed10.1093/bib/bbaf658HuAbDiffusion
Humanization of antibodies and nanobodies by diffusion models2024/2025Preprint10.1101/2024.10.22.619416HuDiff
Humatch: fast and accurate antibody humanization2024Peer-reviewed10.1080/19420862.2024.2434121Humatch
IgLM: Infilling language modeling for antibody sequence design2023Peer-reviewed10.1016/j.cels.2023.10.001IgLM
Atomic context-conditioned protein sequence design using LigandMPNN2025Peer-reviewed10.1038/s41592-025-02626-1LigandMPNN
Co-optimization of therapeutic antibody affinity and specificity using machine learning models of sequence-activity data2022Peer-reviewed10.1038/s41467-022-31457-3Makowski et al. affinity–specificity co-optimization
xTrimoPGLM-based antigen-specific antibody CDR-H3 design (PALM-H3)2024Peer-reviewed10.1038/s41467-024-50903-yPALM-H3
Large language models generate functional protein sequences across diverse families2023Peer-reviewed10.1038/s41587-022-01618-2ProGen / ProGen2
Generalized biomolecular modeling and design with sequence-space diffusion2025Peer-reviewed10.1038/s41587-024-02395-wProteinGenerator
Robust deep learning-based protein sequence design using ProteinMPNN2022Peer-reviewed10.1126/science.add2187ProteinMPNN
Atomically accurate de novo design of antibodies with RFantibody2025/2026Peer-reviewed10.1038/s41586-025-09721-5RFantibody
Generalized biomolecular modeling and design with RoseTTAFold All-Atom2024Peer-reviewed10.1126/science.adl2528RFdiffusion All-Atom (RFdiffusionAA)
De novo design of protein structure and function with RFdiffusion2023Peer-reviewed10.1038/s41586-023-06415-8RFdiffusion
Unsupervised evolution of protein and antibody complexes with a structure-informed language model2024Peer-reviewed10.1126/science.adk8946Structural evolution (ESM-IF1 complex)
tFold: epitope-specific de novo antibody design2025/2026Peer-reviewed10.1038/s41467-025-67361-9tFold System