Chemical codes promote selective compartmentalization of proteins.

Cells have evolved mechanisms to distribute ~10 billion protein molecules to subcellular compartments where diverse proteins involved in shared functions must efficiently assemble. Such assembly is presumed to unfold as a result of specific interactions between biomolecules; however, recent evidence suggests that distinctive chemical environments within subcellular compartments may also play an important role. Here, we test the hypothesis that protein groups with shared functions also share codes that guide them to compartment destinations. To test our hypothesis, we developed a transformer large language model, called ProtGPS, that predicts with high performance the compartment localization of human proteins excluded from the training set. We then demonstrate ProtGPS can be used for guided generation of novel protein sequences that selectively assemble into specific compartments in cells. Furthermore, ProtGPS predictions were sensitive to disease-associated mutations that produce changes in protein compartmentalization, suggesting that this type of pathogenic dysfunction can be discovered in silico. Our results indicate that protein sequences contain not only a folding code, but also a previously unrecognized chemical code governing their distribution in specific cellular compartments.

Parallel Automated Flow Synthesis of Covalent Protein Complexes That Can Inhibit MYC-Driven Transcription.

Dysregulation of the transcription factor MYC is involved in many human cancers. The dimeric transcription factor complexes of MYC/MAX and MAX/MAX activate or inhibit, respectively, gene transcription upon binding to the same enhancer box DNA. Targeting these complexes in cancer is a long-standing challenge. Inspired by the inhibitory activity of the MAX/MAX dimer, we engineered covalently linked, synthetic homo- and heterodimeric protein complexes to attenuate oncogenic MYC-driven transcription. We prepared the covalent protein complexes (∼20 kDa, 167-231 residues) in a single shot via parallel automated flow synthesis in hours. The stabilized covalent dimers display DNA binding activity, are intrinsically cell-penetrant, and inhibit cancer cell proliferation in different cell lines. RNA sequencing and gene set enrichment analysis in A549 cancer cells confirmed that the synthetic dimers interfere with MYC-driven transcription. Our results demonstrate the potential of automated flow technology to rapidly deliver engineered synthetic protein complex mimetics that can serve as a starting point in developing inhibitors of MYC-driven cancer cell growth.