English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  AI-based structure prediction empowers integrative structural analysis of human nuclear pores

Mosalaganti, S., Obarska-Kosinska, A., Siggel, M., Taniguchi, R., Turoňová, B., Zimmerli, C. E., et al. (2022). AI-based structure prediction empowers integrative structural analysis of human nuclear pores. Science, 376(6598): eabm9506. doi:10.1126/science.abm9506.

Item is

Files

show Files
hide Files
:
abm9506_ArticleContent_CombinedFULL.pdf (Any fulltext), 8MB
Name:
abm9506_ArticleContent_CombinedFULL.pdf
Description:
accepted version
OA-Status:
Not specified
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Mosalaganti, Shyamal1, 2, 3, Author           
Obarska-Kosinska, Agnieszka1, 4, Author           
Siggel, Marc4, 5, 6, Author           
Taniguchi, Reiya1, 2, Author           
Turoňová, Beata1, 2, Author           
Zimmerli, Christian E.1, 2, Author           
Buczak, Katarzyna2, Author
Schmidt, Florian H.2, Author
Margiotta, Erica1, 2, Author           
Mackmull, Marie-Therese2, Author
Hagen, Wim J. H.2, Author
Hummer, Gerhard5, 7, Author                 
Kosinski, Jan2, 4, 6, Author
Beck, Martin1, 2, Author                 
Affiliations:
1Department of Molecular Sociology, Max Planck Institute of Biophysics, Max Planck Society, ou_3040395              
2Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany, ou_persistent22              
3Life Sciences Institute and Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, USA, ou_persistent22              
4European Molecular Biology Laboratory Hamburg, Hamburg, Germany, ou_persistent22              
5Department of Theoretical Biophysics, Max Planck Institute of Biophysics, Max Planck Society, ou_2068292              
6Centre for Structural Systems Biology, Hamburg, Germany, ou_persistent22              
7Institute of Biophysics, Goethe University Frankfurt, Frankfurt am Main, Germany, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: Nuclear pore complexes (NPCs) mediate nucleocytoplasmic transport. Their intricate 120-megadalton architecture remains incompletely understood. Here, we report a 70-megadalton model of the human
NPC scaffold with explicit membrane and in multiple conformational states. We combined artificial intelligence (AI)–based structure prediction with in situ and in cellulo cryo–electron tomography and integrative modeling. We show that linker nucleoporins 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.

Details

show
hide
Language(s): eng - English
 Dates: 2021-10-242022-04-222022-06-102022-06-10
 Publication Status: Issued
 Pages: 14
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1126/science.abm9506
BibTex Citekey: mosalaganti_ai-based_2022
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Science
  Abbreviation : Science
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Washington, D.C. : American Association for the Advancement of Science
Pages: - Volume / Issue: 376 (6598) Sequence Number: eabm9506 Start / End Page: - Identifier: ISSN: 0036-8075
CoNE: https://pure.mpg.de/cone/journals/resource/991042748276600_1