PreprintCited by 355Nuclear Structure and FunctionProtein Structure and DynamicsEnzyme Structure and Function

Artificial intelligence reveals nuclear pore complexity

Open access
Mosalaganti, Shyamal, Obarska-Kosinska, Agnieszka, Siggel, Marc, Turonova, Beata, Zimmerli, Christian E., Buczak, Katarzyna, Schmidt, Florian H., Margiotta, Erica +5 more·2021·Science

Preprint — published as 10.1126/science.abm9506 · Paper page

Abstract

Nuclear pore complexes (NPCs) mediate nucleocytoplasmic transport. Their intricate 120 MDa architecture remains incompletely understood. Here, we report a near-complete structural model of the human NPC scaffold with explicit membrane and in multiple conformational states. We combined AI-based structure prediction with in situ and in cellulo cryo-electron tomography and integrative modeling. We show that linker Nups spatially organize the scaffold within and across subcomplexes to establish the higher-order structure. Microsecond-long molecular dynamics simulations suggest that the scaffold is not required to stabilize the inner and outer nuclear membrane fusion, but rather widens the central pore. Our work exemplifies how AI-based modeling can be integrated with in situ structural biology to understand subcellular architecture across spatial organization levels. One sentence summary: An AI-based, dynamic model of the human nuclear pore complex reveals how the protein scaffold and the nuclear envelope are coupled inside cells.

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Authors
Mosalaganti, S., Obarska-Kosinska, A., Siggel, M., Turonova, B., Zimmerli, C. E., Buczak, K., Schmidt, F. H., Margiotta, E., Mackmull, M.-T., Hagen, W., Hummer, G., Beck, M., & Kosinski, J.
Affiliations
  • University of Michigan (US)
  • Max Planck Institute of Biophysics (DE)
  • European Molecular Biology Laboratory (DE)
  • Goethe University Frankfurt (DE)
Corresponding author
  • Mosalaganti, Shyamal
  • Siggel, Marc
  • Hummer, Gerhard
  • Beck, Martin
Venue
Science
Publisher
openRxiv
Published
2021-10-27
Volume
376
Issue
6598
Pages
eabm9506-eabm9506
ISSN
0036-8075 (ISSN-L)
OpenAlex
W4282936228
Cited by
355
References
2
Citations by year
2026: 55 · 2025: 81 · 2024: 80 · 2023: 85 · 2022: 51 · 2021: 2 · 2012: 1
FWCI
24.25
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • Science (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Desy Publications Database (Deutsches Elektronen-Synchrotron DESY) (publishedVersion)
  • Institute of Science and Technology Austria (submittedVersion)
  • Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) (submittedVersion, cc-by-nc-nd)
Funders
  • European Molecular Biology Laboratory
  • Bundesministerium für Bildung und Forschung (FKZ 031L0100)
  • Max-Planck-Gesellschaft
  • H2020 European Research Council (724349)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Nuclear Structure and Function
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Physical Sciences › Materials Science › Materials Chemistry › Enzyme Structure and Function
Keywords
nuclear pore complex, nucleoporins, integrative structural modeling, scaffold architecture, intrinsically disordered proteins, conformational dynamics, nuclear transport, nuclear envelope, protein-protein interaction network
MeSH terms
Artificial Intelligence, Humans, Cryoelectron Microscopy, Active Transport, Cell Nucleus, Nuclear Pore, Nuclear Pore Complex Proteins, Proteomics, Molecular Dynamics Simulation

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