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Gabizon, R.

Publications and source records attributed to Gabizon, R..

5 recordsLinked to original sources

A simple method for developing lysine targeted covalent protein reagents

There is a growing demand for covalent tool compounds and chemical probes to investigate and perturb protein function and dysregulation. The combination of a covalent electrophile with a peptide or protein-based scaffold with an extended binding footprint enables the targeting of shallow protein surfaces, not typically addressable using small molecules. However, to fully exploit the potential of electrophilic proteins or peptides there is a need for versatile approaches to convert native peptide sequences into covalent binders that can target a broad range of residues. Here we report protein-based thio-methacrylate esters - electrophiles with a diverse reactivity profile that can be installed easily on unprotected peptides and proteins via cysteine side chains, and react efficiently and selectively with cysteine and lysine side chains on the target. Guided by computational modeling, we designed and synthesized methacrylate phosphopeptides derived from 14-3-3-binding proteins and demonstrated these peptides irreversibly label 14-3-3{sigma} via either lysine or cysteine residues, depending on the position of the electrophile. Methacrylate peptides targeting a conserved lysine residue exhibited pan-isoform binding of 14-3-3 proteins, and efficiently labeled 14-3-3 proteins in lysates, as well as secreted 14-3-3 extracellularly. The irreversible binding to the predicted target lysines were confirmed by proteomics and X-ray crystallography of the complexes. Finally, we applied this approach to develop protein-based covalent binders. A methacrylate-modified variant of the colicin E9 immunity protein irreversibly bound to the E9 DNAse, resulting in significantly higher thermal stability relative to the non-covalent complex. Our approach offers a simple and versatile route to convert peptides and proteins into potent covalent binders.

biochemistry↗

Covalent Flexible Peptide Docking in Rosetta

Electrophilic peptides that form an irreversible covalent bond with their target have great potential for binding targets that have been previously considered undruggable. However, the discovery of such peptides remains a challenge. Here, we present CovPepDock, a computational pipeline for peptide docking that incorporates covalent binding between the peptide and a receptor cysteine. We applied CovPepDock retrospectively to a dataset of 115 disulfide-bound peptides and a dataset of 54 electrophilic peptides, for which it produced a top-five scoring, near-native model, in 89% and 100% of the cases, respectively. In addition, we developed a protocol for designing electrophilic peptide binders based on known non-covalent binders or protein-protein interfaces. We identified 7,154 peptide candidates in the PDB for application of this protocol. As a proof-of-concept we validated the protocol on the non-covalent complex of 14-3-3{sigma} and YAP1 phosphopeptide. The protocol identified seven highly potent and selective irreversible peptide binders. The predicted binding mode of one of the peptides was validated using X-ray crystallography. This case-study demonstrates the utility and impact of CovPepDock. It suggests that many new electrophilic peptide binders can be rapidly discovered, with significant potential as therapeutic molecules and chemical probes.

biochemistry↗

COVID Moonshot: Open Science Discovery of SARS-CoV-2 Main Protease Inhibitors by Combining Crowdsourcing, High-Throughput Experiments, Computational Simulations, and Machine Learning

We report the results of the COVID Moonshot, a fully open-science, crowd sourced, structure-enabled drug discovery campaign targeting the SARS-CoV-2 main protease. We discovered a non-covalent, non-peptidic inhibitor scaffold with lead-like properties that is differentiated from current main protease inhibitors. Our approach leveraged crowdsourcing, machine learning, exascale molecular simulations, and high-throughput structural biology and chemistry. We generated a detailed map of the structural plasticity of the SARS-CoV-2 main protease, extensive structure-activity relationships for multiple chemotypes, and a wealth of biochemical activity data. All compound designs (>18,000 designs), crystallographic data (>840 ligand-bound X-ray structures), assay data (>10,000 measurements), and synthesized molecules (>2,400 compounds) for this campaign were shared rapidly and openly, creating a rich open and IP-free knowledgebase for future anti-coronavirus drug discovery.

biochemistry↗

High-resolution and high-accuracy topographic and transcriptional maps of the nucleosome barrier

Nucleosomes represent mechanical and energetic barriers that RNA Polymerase II (Pol II) must overcome during transcription. A high-resolution description of the barrier topography, its modulation by epigenetic modifications, and their effects on Pol II nucleosome crossing dynamics, is still missing. Here, we obtain topographic and transcriptional (Pol II residence time) maps of canonical, H2A.Z, and monoubiquitinated H2B (uH2B) nucleosomes at near base-pair resolution and accuracy. Pol II crossing dynamics are complex, displaying pauses at specific loci, backtracking, and nucleosome hopping between wrapped states. While H2A.Z widens the barrier, uH2B heightens it, and both modifications greatly lengthen Pol II crossing time. Using the dwell times of Pol II at each nucleosomal position we extract the energetics of the barrier. The orthogonal barrier modifications of H2A.Z and uH2B, and their effects on Pol II dynamics rationalize their observed enrichment in +1 nucleosomes and suggest a mechanism for selective control of gene expression.\n\nHighlightsO_LIA single-molecule unzipping assay mimics DNA unwinding by Pol II and maps the topography of human canonical, H2A.Z and uH2B nucleosome barriers at high resolution\nC_LIO_LIReal-time dynamics and full molecular trajectories of Pol II crossing the nucleosomal barrier reveal the transcriptional landscape of the barrier at high accuracy\nC_LIO_LIH2A.Z enhances the width and uH2B the height of the barrier\nC_LIO_LIA unified mechanical model links position-dependent dwell times of Pol II on the nucleosome with energetics of the barrier\nC_LI

biophysics↗

Stabilizing Obligatory Non-native Intermediates Along Co-transcriptional Folding Trajectories of SRP RNA Affects Cell Viability

Signal recognition particle (SRP) in Escherichia coli comprises protein Ffh and SRP RNA. Its essential functionality--co-translational protein-targeting/delivery to cellular membranes-- hinges on the RNA attaining a native long-hairpin fold that facilitates protein conformational rearrangements within the SRP complex. Since RNA folds co-transcriptionally on RNA polymerase, we use high-resolution optical tweezers to first characterize the mechanical unfolding/refolding of incrementally lengthened RNAs from stalled transcription complexes until reaching the full-length transcript. This analysis allows identification of folding intermediates adopted during the real-time co-transcriptional folding of SRP RNA. The co-transcriptional folding trajectories are surprisingly invariant to transcription rates, and involve formation of an obligatory non-native hairpin intermediate that eventually resolves into the native fold. SRP RNA variants designed to stabilize this non-native intermediate--likely sequestering the SRP ribonucleoprotein complex in an inactive form--greatly reduce cell viability, indicating that the same co-transcriptional folding mechanism operates in vivo and possible alternative antibiotic strategies.\n\nHighlightsO_LIFolding pathway of an essential functional RNA has been resolved co-transcriptionally.\nC_LIO_LIThe co-transcriptional folding pathway of SRP RNA is invariant to transcription rates.\nC_LIO_LINascent SRP RNA obligatorily forms a non-native intermediate before adopting the native fold.\nC_LIO_LIModulating transitions from the non-native to native SRP RNA hairpin fold alters cell viability.\nC_LI

biophysics↗