35 research outputs found

    Reversible Dual-Covalent Molecular Locking of the 14-3-3/ERRĪ³ Protein-Protein Interaction as a Molecular Glue Drug Discovery Approach

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    Molecules that stabilize protein-protein interactions (PPIs) are invaluable as tool compounds for biophysics and (structural) biology, and as starting points for molecular glue drug discovery. However, identifying initial starting points for PPI stabilizing matter is highly challenging, and chemical optimization is labor-intensive. Inspired by chemical crosslinking and reversible covalent fragment-based drug discovery, we developed an approach that we term ā€œmolecular locksā€ to rapidly access molecular glue-like tool compounds. These dual-covalent small molecules reversibly react with a nucleophilic amino acid on each of the partner proteins to dynamically crosslink the protein complex. The PPI between the hub protein 14-3-3 and estrogen-related receptor Ī³ (ERRĪ³) was used as a pharmacologically relevant case study. Based on a focused library of dual-reactive small molecules, a molecular glue tool compound was rapidly developed. Biochemical assays and X-ray crystallographic studies validated the ternary covalent complex formation and overall PPI stabilization via dynamic covalent crosslinking. The molecular lock approach is highly selective for the specific 14-3-3/ERRĪ³ complex, over other 14-3-3 complexes. This selectivity is driven by the interplay of molecular reactivity and molecular recognition of the composite PPI binding interface. The long lifetime of the dual-covalent locks enabled the selective stabilization of the 14-3-3/ERRĪ³ complex even in the presence of several other competing 14-3-3 clients with higher intrinsic binding affinities. The molecular lock approach enables systematic, selective, and potent stabilization of protein complexes to support molecular glue drug discovery.</p

    Molecular basis and dual ligand regulation of tetrameric Estrogen Receptor Ī±/14-3-3Ī¶ protein complex

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    Therapeutic strategies targeting Nuclear Receptors (NRs) beyond their endogenous ligand binding pocket have gained significant scientific interest, driven by a need to circumvent problems associated with drug resistance and pharmacological profile. The hub protein 14-3-3 is an endogenous regulator of various NRs, providing a novel entry point for small molecule modulation of NR activity. Exemplified, 14-3-3 binding to the C-terminal F-domain of the Estrogen Receptor alpha (ERĪ±), and small molecule stabilization of the ERĪ±/14-3-3Ī¶ protein complex by the natural product Fusicoccin A (FC-A), was demonstrated to downregulate ERĪ±-mediated breast cancer proliferation. This presents a novel drug discovery approach to target ERĪ±, however, structural and mechanistic insights into ERĪ±/14-3-3 complex formation are lacking. Here, we provide an in-depth molecular understanding of the ERĪ±/14-3-3Ī¶ complex by isolating 14-3-3Ī¶ in complex with an ERĪ± protein construct comprising its Ligand Binding Domain (LBD) and phosphorylated F-domain. Bacterial co-expression and co-purification of the ERĪ±/14-3-3Ī¶ complex, followed by extensive biophysical and structural characterization, revealed a tetrameric complex between the ERĪ± homodimer and the 14-3-3Ī¶ homodimer. 14-3-3Ī¶ binding to ERĪ±, and ERĪ±/14-3-3Ī¶ complex stabilization by FC-A, appeared to be orthogonal to ERĪ± endogenous agonist (E2) binding, E2-induced conformational changes, and cofactor recruitment. Similarly, the ERĪ± antagonist 4-hydroxytamoxifen inhibited cofactor recruitment to the ERĪ± LBD while ERĪ± was bound to 14-3-3Ī¶. Furthermore, stabilization of the ERĪ±/14-3-3Ī¶ protein complex by FC-A was not influenced by the disease-associated and 4-hydroxytamoxifen resistant ERĪ±-Y537S mutant. Together, these molecular and mechanistic insights provide direction for targeting ERĪ± via the ERĪ±/14-3-3 complex as an alternative drug discovery approach.</p

    Challenges of studying 14-3-3 protein-protein interactions with full-length protein partners

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    The formation of protein-complexes, or so-called protein-protein interactions (PPIs), is crucial for many physiological and pathological processes. The human interactome is estimated to contain around 130,000ā€“650,000 different PPIs (1). Therefore, it is critical to obtain a detailed understanding of the structural characteristics and the mechanism of action of individual PPIs to acquire extended knowledge on cellular processes. Additionally, PPIs have become popular drug targets in the last two decades, as they greatly expand the druggable genome beyond classical drug targets like enzymes and receptors (1,2). This further encouraged the identification of PPIs and their role in pathological processes

    Covalent flexible peptide docking in Rosetta

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    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 Rosetta 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. It produced a top-five scoring, near-native model, in 89% and 100% of the cases when docking from the native conformation, and 20% and 90% when docking from an extended peptide conformation, respectively. In addition, we developed a protocol for designing electrophilic peptide binders based on known non-covalent binders or protein-protein interfaces. We identified 7154 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 14-3-3Ļƒ 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

    Fluorescence Anisotropy-Based Tethering for Discovery of Protein-Protein Interaction Stabilizers.

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    Protein-protein interaction (PPI) networks are fundamental for cellular processes. Small-molecule PPI enhancers have been shown to be powerful tools to fundamentally study PPIs and as starting points for potential new therapeutics. Yet, systematic approaches for their discovery are not widely available, and the design prerequisites of "molecular glues" are poorly understood. Covalent fragment-based screening can identify chemical starting points for these enhancers at specific sites in PPI interfaces. We recently reported a mass spectrometry-based disulfide-trapping (tethering) approach for a cysteine residue in the hub protein 14-3-3, an important regulator of phosphorylated client proteins. Here, we invert the strategy and report the development of a functional read-out for systematic identification of PPI enhancers based on fluorescence anisotropy (FA-tethering) with the reactive handle now on a client-derived peptide. Using the DNA-binding domain of the nuclear receptor Estrogen Related Receptor gamma (ERRĪ³), we target a native cysteine positioned at the 14-3-3 PPI interface and identify several fragments that form a disulfide bond to ERRĪ³ and stabilize the complex up to 5-fold. Crystallography indicates that fragments bind in a pocket comprised of 14-3-3 and the ERRĪ³ phosphopeptide. FA-tethering presents a streamlined methodology to discover molecular glues for protein complexes

    Ultra-large chemical libraries for the discovery of high-affinity peptide binders

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    High-diversity genetically-encoded combinatorial libraries (108āˆ’1013 members) are a rich source of peptide-based binding molecules, identified by affinity selection. Synthetic libraries can access broader chemical space, but typically examine only ~ 106 compounds by screening. Here we show that in-solution affinity selection can be interfaced with nano-liquid chromatography-tandem mass spectrometry peptide sequencing to identify binders from fully randomized synthetic libraries of 108 membersā€”a 100-fold gain in diversity over standard practice. To validate this approach, we show that binders to a monoclonal antibody are identified in proportion to library diversity, as diversity is increased from 106ā€“108. These results are then applied to the discovery of p53-like binders to MDM2, and to a family of 3ā€“19 nM-affinity, Ī±/Ī²-peptide-based binders to 14-3-3. An X-ray structure of one of these binders in complex with 14-3-3Ļƒ is determined, illustrating the role of Ī²-amino acids in facilitating a key binding contact.NIH/NIGMS (Grant T32-GM008334

    Functional mapping of the 14-3-3 hub protein as a guide to design 14-3-3 molecular glues

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    Molecular glues represent an evolution in drug discovery, however, targeted stabilization of protein complexes remains challenging, owing to a paucity of drug design rules. The functional mapping of hotspots has been critical to protein-protein interaction (PPI) inhibitor research, however, the orthogonal approach to stabilize PPIs has not exploited this information. Utilizing the hub protein 14-3-3 as a case study we demonstrate that functional mapping of hotspots provides a triage map for 14-3-3 molecular glue development. Truncation and mutation studies allowed deconvoluting the energetic contributions of sidechain and backbone interactions of a 14-3-3-binding non-natural peptide. Three central 14-3-3 hotspots were identified and their thermodynamic characteristics profiled. In addition to the phospho-binding pocket; (i) Asn226, (ii) Lys122 and (iii) the hydrophobic patch formed by Leu218, Ile219 and Leu222 were critical for protein complex formation. Exploiting this hotspot information allowed a peptide-based molecular glue that elicits high cooperativity ( Ī± = 36) and selectively stabilizes the 14-3-3/ChREBP PPI to be uniquely developed
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