ScienceBiochemistryPeer-reviewed journal article
Protein codes promote selective subcellular compartmentalization
Henry R. KilgoreiD, Itamar ChinniD, Peter G. MikhaeliD, Ilan Mitnikov, Catherine Van DongeniD, G. Zylberberg, Lena K. Afeyan, Salman F. BananiiD, Susana Wilson Hawken, Tong Ihn LeeiD, Regina BarzilayiD, Richard A. YoungiD
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.
- organism: human
- assay: protein sequence
- research focus: protein folding & dynamics
- research focus: cell type annotation
- research focus: variant effect prediction
- approach: deep learning
- approach: transformer / foundation model
- Citations
- 105
- FWCI
- 23.64
- Field percentile
- top 1%
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