The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
FlowDesign: Improved Design of Antibody CDRs Through Flow Matching and Better Prior Distributions
Preprint — published as 10.1016/j.cels.2025.101270 · Paper page
Abstract
Designing antibodies with desired binding specificity and affinity is essential for pharmaceutical research. While diffusion-based models have advanced the co-design of the Complementarity-Determining Regions (CDRs) sequences and structures, challenges remain, including non-informative prior distribution, incompatibility with discrete amino acid types, and impractical computational cost in large-scale sampling. To address these, we proposed FlowDesign, a sequence-structure co-design approach based on Flow Matching, offering: (1) Flexible selection of prior distributions; (2) Direct matching of discrete distributions; (3) Enhanced computational efficiency for large-scale sampling. By leveraging various priors, data-driven structural models proved the most informative. FlowDesign outperformed baselines in Amino Acid Recovery (AAR), RMSD, and Rosetta energy. We also applied FlowDesign to design antibodies targeting the HIV-1 receptor CD4. FlowDesign yielded antibodies with improved binding affinity and neutralizing potency compared to the antibody Ibalizumab across multiple HIV mutants, validated by Biolayer Interferometry (BLI) and pseudovirus neutralization. This highlights FlowDesign's potential in antibody and protein design.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Flagged first, then by citations
Research works printed but not linked: 33
- 10.1073/pnas.1810576116 · DOI · Paper page
- 2014, Functions of antibodies, Microbiology spectrum, 2, 2
- 10.1093/protein/gzq061 · DOI · Paper page
- 10.1002/prot.24779 · DOI · Paper page
- 10.1101/183350 · DOI
- 10.1371/journal.pcbi.1007207 · DOI
- 2022, Conditional antibody design as 3d equivariant graph translation, arXiv preprint
- 2023, End-to-end full-atom antibody design, arXiv preprint
- 2021, Iterative refinement graph neural network for antibody sequence-structure co-design, arXiv preprint
- 10.1038/s41586-023-06415-8 · DOI · Paper page
- 2022, Language models of protein sequences at the scale of evolution enable accurate structure prediction, BioRxiv, 2022, 500902
- 10.1016/j.cels.2023.10.002 · DOI · Paper page
- Jing, H. et al. Accurate prediction of antibody function and structure using bio-inspired antibody language model. bioRxiv 2023–08 (2023). · DOI
- 10.1016/j.cels.2023.10.001 · DOI
- 2022, Ablang: an antibody language model for completing antibody sequences, Bioinformatics Advances, 2, vbac046, 10.1093/bioadv/vbac046 · DOI · Paper page
- Bennett, N. R. et al. Atomically accurate de novo design of single-domain antibodies. bioRxiv 2024–03 (2024). · DOI · Paper page
- 2022, Flow straight and fast: Learning to generate and transfer data with rectified flow, arXiv preprint
- 10.1128/AAC.00942-08 · DOI
- 10.1038/nmeth0809-551 · DOI
- 10.1371/journal.pone.0063090 · DOI
- 10.1038/nbt.3988 · DOI · Paper page
- 10.1021/acs.jctc.7b00125 · DOI · Paper page
- Shoemake, K. Animating rotation with quaternion curves. In Proceedings of the 12th annual conference on Computer graphics and interactive techniques, 245–254 (1985). · DOI
- 2003, Computing exponentials of skew-symmetric matrices and logarithms of orthogonal matrices, International Journal Robotics Automation, 18, 10
- 10.1093/nar/gkt1043 · DOI · Paper page
- 10.1155/tsm.10.77 · DOI
- 10.1155/tsm.29.201 · DOI
- 10.1093/bioinformatics/btq007 · DOI
- Hollingsworth, S. A. & Karplus, P. A. A fresh look at the ramachandran plot and the occurrence of standard structures in proteins. (2010). · DOI
- 2014, Adam: A method for stochastic optimization, arXiv preprint
- 10.1128/jvi.79.16.10108-10125.2005 · DOI
- 10.1371/journal.pcbi.1005659 · DOI · Paper page
- 10.1093/nar/gki387 · DOI · Paper page
Metadata
- Authors
- Wu, J., Kong, X., Sun, N., Wei, J., Shan, S., Feng, F., Wu, F., Peng, J., Zhang, L., Liu, Y., & Ma, J.
- Affiliations
- University of Science and Technology of China (CN)
- Tsinghua University (CN)
- Corresponding author
- Liu, Yang
- Ma, Jianzhu
- Venue
- Cell Systems
- Publisher
- openRxiv
- Published
- 2024-11-08
- Volume
- 16
- Issue
- 6
- Pages
- 101270-101270
- ISSN
- 2405-4712 (ISSN-L)
- OpenAlex
- W4409921893
- Cited by
- 11
- References
- 1
- Citations by year
- 2026: 11
- FWCI
- 6.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cell Systems (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- Funders
- National Key Research and Development Program of China
- National Key Research and Development Program of China Stem Cell and Translational Research (2022YFF1203100)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Monoclonal and Polyclonal Antibodies Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Keywords
- antibody design, hypervariable region, flow matching, prior distributions, neutralizing antibodies, ibalizumab, pseudovirus neutralization, biolayer interferometry, protein design
- MeSH terms
- Antibodies, Humans, HIV Antibodies, HIV-1, Complementarity Determining Regions, Antibodies, Neutralizing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review