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Protein codes promote selective subcellular compartmentalization.
Kilgore, Henry R; Chinn, Itamar; Mikhael, Peter G; Mitnikov, Ilan; Van Dongen, Catherine; Zylberberg, Guy; Afeyan, Lena; Banani, Salman; Wilson-Hawken, Susana; Lee, Tong Ihn; Barzilay, Regina; Young, Richard A.
Afiliação
  • Kilgore HR; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
  • Chinn I; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Mikhael PG; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Mitnikov I; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Van Dongen C; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
  • Zylberberg G; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Afeyan L; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
  • Banani S; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Wilson-Hawken S; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
  • Lee TI; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
  • Barzilay R; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
  • Young RA; Program of Computational & Systems Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
bioRxiv ; 2024 May 22.
Article em En | MEDLINE | ID: mdl-38659952
ABSTRACT
Cells have evolved mechanisms to distribute ~10 billion protein molecules to subcellular compartments where diverse proteins involved in shared functions must efficiently 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 targeted subcellular compartments. ProtGPS also 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 in specific cellular compartments.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article