Local structural flexibility drives oligomorphism in computationally designed protein assemblies
Open accessPublished version of a preprint
Abstract
Many naturally occurring protein assemblies have dynamic structures that allow them to perform specialized functions. For example, clathrin coats adopt a wide variety of architectures to adapt to vesicular cargos of various sizes. Although computational methods for designing novel self-assembling proteins have advanced substantially over the past decade, most existing methods focus on designing static structures with high accuracy. Here we characterize the structures of three distinct computationally designed protein assemblies that each form multiple unanticipated architectures, and identify flexibility in specific regions of the subunits of each assembly as the source of structural diversity. Cryo-EM single-particle reconstructions and native mass spectrometry showed that only two distinct architectures were observed in two of the three cases, while we obtained six cryo-EM reconstructions that likely represent a subset of the architectures present in solution in the third case. Structural modeling and molecular dynamics simulations indicated that the surprising observation of a defined range of architectures, instead of non-specific aggregation, can be explained by constrained flexibility within the building blocks. Our results suggest that deliberate use of structural flexibility as a design principle will allow exploration of previously inaccessible structural and functional space in designed protein assemblies.
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
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.
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 · see citing works
Watson, J. L., Juergens, D., Bennett, N. R., Trippe, B. L., Yim, J., Eisenach, H. E., Ahern, W., Borst, A. J., Ragotte, R. J., Milles, L. F., et al. (2022) · doi:10.1101/2022.12.09.519842 · Cited by 2,369 · see citing works
Self-citationDe novo design of protein structure and function with RFdiffusion
Watson, J. L., Juergens, D., Bennett, N. R., Trippe, B. L., Yim, J., Eisenach, H. E., Ahern, W., Borst, A. J., Ragotte, R. J., Milles, L. F., et al. (2023) · Nature · doi:10.1038/s41586-023-06415-8 · Cited by 2,325 · see citing works
Self-citationRobust deep learning based protein sequence design using ProteinMPNN
Dauparas, J., Anishchenko, I., Bennett, N., Bai, H., Ragotte, R. J., Milles, L. F., Wicky, B. I. M., Courbet, A., de Haas, R. J., Bethel, N., et al. (2022) · doi:10.1101/2022.06.03.494563 · Cited by 2,107 · see citing works
Self-citationRobust deep learning–based protein sequence design using ProteinMPNN
Dauparas, J., Anishchenko, I., Bennett, N., Bai, H., Ragotte, R. J., Milles, L. F., Wicky, B. I. M., Courbet, A., de Haas, R. J., Bethel, N., et al. (2022) · Science · doi:10.1126/science.add2187 · Cited by 2,070 · see citing works
Self-citationAlphaFold and Implications for Intrinsically Disordered Proteins
Ruff, K. M., & Pappu, R. V. (2021) · Journal of Molecular Biology · doi:10.1016/j.jmb.2021.167208 · Cited by 635 · see citing works
High-Resolution Native Mass Spectrometry
Tamara, S., den Boer, M. A., & Heck, A. J. R. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00212 · Cited by 511 · cited 6× · see citing works
“To generate reconstructed assemblies for KWOCA 18 and KWOCA 70 from the molecular dynamics simulations, snapshots from the production runs at 2 ns timesteps were fitted into the cryo-EM maps using the colores function in Situs v.3.1 (ref.”
InfluentialSelf-citationIlluminating protein space with a programmable generative model
Ingraham, J. B., Baranov, M., Costello, Z., Barber, K. W., Wang, W., Ismail, A., Frappier, V., Lord, D. M., Ng-Thow-Hing, C., Van Vlack, E. R., et al. (2023) · Nature · doi:10.1038/s41586-023-06728-8 · Cited by 444 · see citing works
Wörner, T. P., Snijder, J., Bennett, A., Agbandje-McKenna, M., Makarov, A. A., & Heck, A. J. R. (2020) · Nature Methods · doi:10.1038/s41592-020-0770-7 · Cited by 186 · see citing works
Self-citationWalls, A. C., Miranda, M. C., Schäfer, A., Pham, M. N., Greaney, A., Arunachalam, P. S., Navarro, M.-J., Tortorici, M. A., Rogers, K., O’Connor, M. A., et al. (2021) · Cell · doi:10.1016/j.cell.2021.09.015 · Cited by 185 · cited 1× · see citing works
“…, enhanced receptor-mediated signaling 14,26,27 , molecular scaffolding for structure determination 28–30 , enzymatic colocalization 31,32 and multivalent antigen presentation 33–38 , including in multiple vaccines currently in clinical development 39,40 or licensed for use in humans 41–43 .”
Self-citationLanguage models generalize beyond natural proteins
Verkuil, R., Kabeli, O., Du, Y., Wicky, B. I. M., Milles, L. F., Dauparas, J., Baker, D., Ovchinnikov, S., Sercu, T., & Rives, A. (2022) · doi:10.1101/2022.12.21.521521 · Cited by 181 · see citing works
Self-citationAlphaFold2: A Role for Disordered Protein/Region Prediction?
Wilson, C. J., Choy, W.-Y., & Karttunen, M. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23094591 · Cited by 173 · see citing works
Norwalk Virus Assembly and Stability Monitored by Mass Spectrometry
Shoemaker, G. K., van Duijn, E., Crawford, S. E., Uetrecht, C., Baclayon, M., Roos, W. H., Wuite, G. J. L., Estes, M. K., Prasad, B. V. V., & Heck, A. J. R. (2010) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m900620-mcp200 · Cited by 140 · see citing works
Self-citation
Flagged first, then by citations
- Authors
- Khmelinskaia, A., Bethel, N. P., Fatehi, F., Mallik, B. B., Antanasijevic, A., Borst, A. J., Lai, S.-H., Chim, H. Y., Wang, J. Y. ‘., Miranda, M. C., Watkins, A. M., Ogohara, C., Caldwell, S., Wu, M., Heck, A. J. R., Veesler, D., Ward, A. B., Baker, D., Twarock, R., & King, N. P.
- Affiliations
- University of Bonn (DE)
- University of Washington (US)
- University of York (GB)
- Scripps Research Institute (US)
- Utrecht University (NL)
- Ludwig-Maximilians-Universität München (DE)
- Genentech (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Khmelinskaia, Alena
- King, Neil P.
- ORCID
- Khmelinskaia, Alena
- Bethel, Neville P.
- Fatehi, Farzad
- Mallik, Bhoomika Basu
- Antanasijevic, Aleksandar
- Borst, Andrew J.
- Lai, Szu-Hsueh
- Chim, Ho Yeung
- Wang, Jing Yang ‘John’
- Miranda, Marcos C.
- Watkins, Andrew M.
- Caldwell, Shane
- Wu, Mengyu
- Heck, Albert J. R.
- Veesler, David
- Ward, Andrew B.
- Baker, David
- Twarock, Reidun
- King, Neil P.
- Venue
- Nature Structural & Molecular Biology
- Published
- 2025-02-26
- Volume
- 32
- Issue
- 6
- Pages
- 1050-1060
- ISSN
- 1545-9985 (ISSN-L)
- 1545-9993
- PMC
- PMC12170342
- OpenAlex
- W4407988683
- Cited by
- 18
- References
- 13
- Citations by year
- 2026: 9 · 2025: 8 · 2024: 1
- FWCI
- 5.11
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature Structural & Molecular Biology (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- PubMed Central (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- Funders
- National Science Foundation (1629214, P30 GM124169)
- Howard Hughes Medical Institute (GT11817)
- U.S. Department of Energy (180009, P30 GM124169, GM124169)
- Bill and Melinda Gates Foundation (INV-002916, INV-010680)
- amfAR, The Foundation for AIDS Research (110182-69-RKVA)
- University of Washington
- Wellcome Trust (110145, 110146, DP1AI158186)
- Open Philanthropy Project
- Australian Government
- Deutsche Forschungsgemeinschaft (SFB1032,)
- École Polytechnique Fédérale de Lausanne
- Bundesministerium für Bildung und Forschung
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (SPI.2017.028, ENPPS.LIFT.019.001)
- Engineering and Physical Sciences Research Council (EP/R023204/1)
- Leibniz-Gemeinschaft
- National Institute of General Medical Sciences (P30GM124169)
- National Institute of Allergy and Infectious Diseases (DP1AI158186, P01AI167966, 75N93022C00036, U54AI170856)
- Basic Energy Sciences
- Biological and Environmental Research (P30 GM124169)
- Lawrence Berkeley National Laboratory
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biochemical and Structural Characterization
- Physical Sciences › Materials Science › Biomaterials › Supramolecular Self-Assembly in Materials
- Keywords
- protein self-assembly, structural flexibility, structural diversity, protein architecture, native mass spectrometry, molecular dynamics simulation, protein design
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