Evidence map›Paper›PMID 38528060›Full record

ArticleNature communications2024

Diverging co-translational protein complex assembly pathways are governed by interface energy distribution.

Johannes Venezian, Hagit Bar-Yosef, Hila Ben-Arie Zilberman, Noam Cohen, Oded Kleifeld, Juan Fernandez-Recio, Fabian Glaser, Ayala Shiber

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Modeling Protein-Protein Complexes by Combining pyDock and AlphaFold.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Johannes VenezianFaculty of Biology, Technion Israel institute of Technology, Haifa, Israel.ORCID http://orcid.org/0009-0002-2507-3356
Hagit Bar-YosefFaculty of Biology, Technion Israel institute of Technology, Haifa, Israel.
Hila Ben-Arie ZilbermanFaculty of Biology, Technion Israel institute of Technology, Haifa, Israel.
Noam CohenFaculty of Biology, Technion Israel institute of Technology, Haifa, Israel.
Oded KleifeldFaculty of Biology, Technion Israel institute of Technology, Haifa, Israel.ORCID http://orcid.org/0000-0003-3091-7154
Juan Fernandez-RecioInstituto de Ciencias de la Vid y del Vino (ICVV), CSIC-Universidad de La Rioja-Gobierno de La Rioja, Logroño, Spain.ORCID http://orcid.org/0000-0002-3986-7686
Fabian GlaserLorry I. Lokey Interdisciplinary Center for Life Sciences & Engineering, Haifa, Israel.
Ayala ShiberFaculty of Biology, Technion Israel institute of Technology, Haifa, Israel. ayalashiber@technion.ac.il.ORCID http://orcid.org/0000-0002-3167-1494
Technion – Israel Institute of Technology · ILUniversidad de La Rioja · ES

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 2031817Israel Science Foundation (ISF) 1515/23Israel Science Foundation (ISF) 2106/20
6 · The paper itself

Abstract

Protein-protein interactions are at the heart of all cellular processes, with the ribosome emerging as a platform, orchestrating the nascent-chain interplay dynamics. Here, to study the characteristics governing co-translational protein folding and complex assembly, we combine selective ribosome profiling, imaging, and N-terminomics with all-atoms molecular dynamics. Focusing on conserved N-terminal acetyltransferases (NATs), we uncover diverging co-translational assembly pathways, where highly homologous subunits serve opposite functions. We find that only a few residues serve as "hotspots," initiating co-translational assembly interactions upon exposure at the ribosome exit tunnel. These hotspots are characterized by high binding energy, anchoring the entire interface assembly. Alpha-helices harboring hotspots are highly thermolabile, folding and unfolding during simulations, depending on their partner subunit to avoid misfolding. In vivo hotspot mutations disrupted co-translational complexation, leading to aggregation. Accordingly, conservation analysis reveals that missense NATs variants, causing neurodevelopmental and neurodegenerative diseases, disrupt putative hotspot clusters. Expanding our study to include phosphofructokinase, anthranilate synthase, and nucleoporin subcomplex, we employ AlphaFold-Multimer to model the complexes' complete structures. Computing MD-derived interface energy profiles, we find similar trends. Here, we propose a model based on the distribution of interface energy as a strong predictor of co-translational assembly.

Indexed as

Protein BiosynthesisRibosomesModels, MolecularProtein FoldingProtein Processing, Post-Translational

Identifiers

PMID38528060
PMCPMC10963368
OpenAlexW4393139770

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.