Same Day Access to Folded Synthetic Proteins.

Understanding protein function is a cornerstone of modern biology. Research centers worldwide dedicate significant efforts to prepare individual proteins for study, the isolation and purification of which can take days to months. We developed a workflow that enables same-day access to functional synthetic proteins. Chemical synthesis provides access to crude protein chains in hours, but the removal of the synthetic side products is typically a days-long process. We find that chemical modifications on side products lead to significant and unpredictable changes in the folding behavior. Consistent with these findings, we discovered that approaches based on biophysical properties characteristic of the folded protein target can discriminate against chemically similar species. Confirming our protocol with nine protein targets, we show that appropriate desalting followed by different folding strategies enables isolation of functional single-domain proteins in hours instead of days. Each target was isolated in under 10 h, including some proteins with post-translational modifications, non-natural amino acids, and disulfide bonds. Rapid biological discovery requires on-demand access to proteins, and the folding pipeline described here is uniquely suited to enabling these efforts. The folding process presented here was not assessed on complex proteins, and therefore, it may require further optimization in those cases.

Rapid Production of Native and Mirror-Image Tumor Necrosis Factor-α Enabled by Automated Flow Peptide Synthesis Technology.

Tumor necrosis factor-α (TNF-α) plays a central role in immune response regulation. Because elevated TNF-α production is correlated with a range of diseases, inhibiting the interaction of this protein with its native receptors has been thoroughly explored as a therapeutic avenue. Despite advancements in the development of TNF-α inhibitors, concerns remain regarding immunogenicity and loss of activity in vivo. To facilitate the discovery of stable and less immunogenic therapeutic modalities, we applied a single-shot automated fast-flow peptide synthesis (AFPS) strategy to produce full-length TNF-α, resulting in a complex reaction mixture. Leveraging the ability of AFPS to generate long peptides with high purity, we combined this technology with native chemical ligation (NCL). An NCL reaction using two fragments readily produced by AFPS afforded synthetic L- and D-TNF-α in milligram quantities (up to 5.5 mg, ∼28% yield). Following the oxidative folding of synthetic TNF-α using established conditions, higher molecular weight species were generated. Through high-throughput screening of refolding conditions, functional synthetic L- and mirror-image D-TNF-α were obtained, exhibiting characteristics analogous to those of the recombinant TNF-α. Overall, this approach can serve as a general protocol for accessing proteins that are intractable by modern protein synthesis methods, therefore, streamlining the development of novel therapeutics.

Mirror-image ligand discovery enabled by single-shot fast-flow synthesis of D-proteins.

Widespread adoption of mirror-image biological systems presents difficulties in accessing the requisite D-protein substrates. In particular, mirror-image phage display has the potential for high-throughput generation of biologically stable macrocyclic D-peptide binders with potentially unique recognition modes but is hindered by the individualized optimization required for D-protein chemical synthesis. We demonstrate a general mirror-image phage display pipeline that utilizes automated flow peptide synthesis to prepare D-proteins in a single run. With this approach, we prepare and characterize 12 D-proteins - almost one third of all reported D-proteins to date. With access to mirror-image protein targets, we describe the successful discovery of six macrocyclic D-peptide binders: three to the oncoprotein MDM2, and three to the E3 ubiquitin ligase CHIP. Reliable production of mirror-image proteins can unlock the full potential of D-peptide drug discovery and streamline the study of mirror-image biology more broadly.

Machine Learning Guides Peptide Nucleic Acid Flow Synthesis and Sequence Design.

Peptide nucleic acids (PNAs) are potential antisense therapies for genetic, acquired, and viral diseases. Efficiently selecting candidate PNA sequences for synthesis and evaluation from a genome containing hundreds to thousands of options can be challenging. To facilitate this process, this work leverages machine learning (ML) algorithms and automated synthesis technology to predict PNA synthesis efficiency and guide rational PNA sequence design. The training data is collected from individual fluorenylmethyloxycarbonyl (Fmoc) deprotection reactions performed on a fully automated PNA synthesizer. The optimized ML model allows for 93% prediction accuracy and 0.97 Pearson's r. The predicted synthesis scores are validated to be correlated with the experimental high-performance liquid chromatography (HPLC) crude purities (correlation coefficient R2 = 0.95). Furthermore, a general applicability of ML is demonstrated through designing synthetically accessible antisense PNA sequences from 102 315 predicted candidates targeting exon 44 of the human dystrophin gene, SARS-CoV-2, HIV, as well as selected genes associated with cardiovascular diseases, type II diabetes, and various cancers. Collectively, ML provides an accurate prediction of PNA synthesis quality and serves as a useful computational tool for informing PNA sequence design.

Automated Flow Synthesis of Peptide-PNA Conjugates.

Antisense peptide nucleic acids (PNAs) have yet to translate to the clinic because of poor cellular uptake, limited solubility, and rapid elimination. Cell-penetrating peptides (CPPs) covalently attached to PNAs may facilitate clinical development by improving uptake into cells. We report an efficient technology that utilizes a fully automated fast-flow instrument to manufacture CPP-conjugated PNAs (PPNAs) in a single shot. The machine is rapid, with each amide bond being formed in 10 s. Anti-IVS2-654 PPNA synthesized with this instrument presented threefold activity compared to transfected PNA in a splice-correction assay. We demonstrated the utility of this approach by chemically synthesizing eight anti-SARS-CoV-2 PPNAs in 1 day. A PPNA targeting the 5' untranslated region of SARS-CoV-2 genomic RNA reduced the viral titer by over 95% in a live virus infection assay (IC50 = 0.8 µM). Our technology can deliver PPNA candidates to further investigate their potential as antiviral agents.

Fully automated fast-flow synthesis of antisense phosphorodiamidate morpholino oligomers.

Rapid development of antisense therapies can enable on-demand responses to new viral pathogens and make personalized medicine for genetic diseases practical. Antisense phosphorodiamidate morpholino oligomers (PMOs) are promising candidates to fill such a role, but their challenging synthesis limits their widespread application. To rapidly prototype potential PMO drug candidates, we report a fully automated flow-based oligonucleotide synthesizer. Our optimized synthesis platform reduces coupling times by up to 22-fold compared to previously reported methods. We demonstrate the power of our automated technology with the synthesis of milligram quantities of three candidate therapeutic PMO sequences for an unserved class of Duchenne muscular dystrophy (DMD). To further test our platform, we synthesize a PMO that targets the genomic mRNA of SARS-CoV-2 and demonstrate its antiviral effects. This platform could find broad application not only in designing new SARS-CoV-2 and DMD antisense therapeutics, but also for rapid development of PMO candidates to treat new and emerging diseases.