mlsanityData to 7 Oct 2026

AbFlow : End-to-end Paratope-Centric Antibody Design by Interaction Enhanced Flow Matching

arXiv 2602.07084 ↗First posted 6 Feb 2026q-bio.QM cs.AI cs.CEcited by 2

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Abstract (arXiv)

Antigen-antibody binding is a critical process in the immune response. Although recent progress has advanced antibody design, current methods lack a generative framework for end-to-end modeling of full-atom antibody structures and struggle to fully exploit antigen-specific geometric information for optimizing local binding interfaces and global structures. To overcome these limitations, we introduce AbFlow, a paratope-restricted one-step flow-matching framework for designing full-atom antibodies end-to-end. AbFlow incorporates an extended velocity field network featuring an equivariant Surface Multi-channel Encoder, which uses surface-level antigen interaction data to refine the antibody structure, particularly the CDR-H3 region. Extensive experiments in paratope-centric antibody design, multi-CDRs and full-atom antibody design, binding affinity optimization, and complex structure prediction show that AbFlow produces superior antigen-antibody complexes, especially at the contact interface, and markedly improves the binding affinity of generated antibodies.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 7 of its 53 references that are in the map. First posted on arXiv 6 Feb 2026.

Builds on

7 of 53 references.

References · 7

  1. 2022Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flowcited by 3,550
  2. 2023End-to-End Full-Atom Antibody Designcited by 48
  3. 2024ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generationcited by 41
  4. 2023EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Predictioncited by 15
  5. 2024SurfPro: Functional Protein Design Based on Continuous Surfacecited by 14
  6. 2024Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transportcited by 11
  7. 2025dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigencited by 10

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 2.

2 papers.

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  1. 2024Efficient Antibody Structure Refinement Using Energy-Guided SE(3) Flow Matching
  2. 2025AbBiBench: A Benchmark for Antibody Binding Affinity Maturation and Design
  3. 2025AffinityFlow: Guided Flows for Antibody Affinity Maturation
  4. 2025Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding
  5. 2025AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion
  6. 2024Improving Antibody Design with Force-Guided Sampling in Diffusion Models
  7. 2024Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization
  8. 2026Antigen-specific Antibody Multi-modal Foundation Model for Functional Antibody Design