Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Protein codes promote selective subcellular compartmentalization

Protein codes promote selective subcellular compartmentalization

Thumbnail Image
Download
Name

Protein_codes_250129.pdf

Size

17.83 MB

Format

Adobe PDF

Checksum (MD5)

1471b2895eae8c767dbf23d91c4d49d4

Author(s)
Kilgore, Henry R.
•
Chinn, Itamar
•
Mikhael, Peter G.
•
Mitnikov, Ilan
•
Van Dongen, Catherine
•
Zylberberg, Guy
•
Afeyan, Lena
•
Banani, Salman F.
•
Wilson-Hawken, Susana
•
Ihn Lee, Tong
more
Date Issued
February 6, 2025
Journal
Science
Publisher
American Association for the Advancement of Science
Citation
Kilgore, Henry R., Chinn, Itamar, Mikhael, Peter G., Mitnikov, Ilan, Van Dongen, Catherine et al. 2025. "Protein codes promote selective subcellular compartmentalization." Science.
Version
Author's final manuscript
Abstract
Cells have evolved mechanisms to distribute ~10 billion protein molecules to subcellular compartments where diverse proteins involved in shared functions must assemble. Here, we demonstrate that proteins with shared functions share amino acid sequence codes that guide them to compartment destinations. A protein language model, ProtGPS, was developed that predicts with high performance the compartment localization of human proteins excluded from the training set. ProtGPS successfully guided generation of novel protein sequences that selectively assemble in the nucleolus. ProtGPS identified pathological mutations that change this code and lead to altered subcellular localization of proteins. Our results indicate that protein sequences contain not only a folding code, but also a previously unrecognized code governing their distribution to diverse subcellular compartments.
MIT Department
Whitehead Institute for Biomedical Research
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Abdul Latif Jameel Clinic for Machine Learning in Health
Massachusetts Institute of Technology. Department of Biology
Massachusetts Institute of Technology. Computational and Systems Biology Program
Terms of Use
Creative Commons Attribution-Noncommercial-ShareAlike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/158180
DOI of Published Version
https://doi.org/10.1126/science.adq2634
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.