101 research outputs found

    How Outer Coordination Sphere Modifications Can Impact Metal Structures in Proteins: A Crystallographic Evaluation

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    A challenging objective of de novo metalloprotein design is to control of the outer coordination spheres of an active site to fine tune metal properties. The well‐defined three stranded coiled coils, TRI and CoilSer peptides, are used to address this question. Substitution of Cys for Leu yields a thiophilic site within the core. Metals such as HgII, PbII, and AsIII result in trigonal planar or trigonal pyramidal geometries; however, spectroscopic studies have shown that CdII forms three‐, four‐ or five‐coordinate CdIIS3(OH2)x (in which x=0–2) when the outer coordination spheres are perturbed. Unfortunately, there has been little crystallographic examination of these proteins to explain the observations. Here, the high‐resolution X‐ray structures of apo‐ and mercurated proteins are compared to explain the modifications that lead to metal coordination number and geometry variation. It reveals that Ala substitution for Leu opens a cavity above the Cys site allowing for water excess, facilitating CdIIS3(OH2). Replacement of Cys by Pen restricts thiol rotation, causing a shift in the metal‐binding plane, which displaces water, forming CdIIS3. Residue d‐Leu, above the Cys site, reorients the side chain towards the Cys layer, diminishing the space for water accommodation yielding CdIIS3, whereas d‐Leu below opens more space, allowing for equal CdIIS3(OH2) and CdIIS3(OH2)2. These studies provide insights into how to control desired metal geometries in metalloproteins by using coded and non‐coded amino acids.Controlling coordination geometries: The high‐resolution X‐ray structures of apo‐ and mercurated proteins were compared to explain the modifications that lead to metal coordination number and geometry variation. These studies provide insights into how to control desired metal geometries in metalloproteins by using coded and noncoded amino acids.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149308/1/chem201806040-sup-0001-misc_information.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149308/2/chem201806040.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149308/3/chem201806040_am.pd

    Two substrate-targeting sites in the Yersinia protein tyrosine phosphatase co-operate to promote bacterial virulence

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    YopH is a protein tyrosine phosphatase and an essential virulence determinant of the pathogenic bacterium Yersinia. Yersinia delivers YopH into infected host cells using a type III secretion mechanism. YopH dephosphorylates several focal adhesion proteins including p130Cas in human epithelial cells, resulting in disruption of focal adhesions and cell detachment from the extracellular matrix. How the C-terminal protein tyrosine phosphatase domain of YopH targets specific substrates such as p130Cas in the complex milieu of the host cell has not been fully elucidated. An N-terminal non-catalytic domain of YopH binds p130Cas in a phosphotyrosine-dependent manner and functions as a novel substrate-targeting site. The structure of the YopH protein tyrosine phosphatase domain bound to a model phosphopeptide substrate was solved and the resulting structure revealed a second substrate-targeting site (‘site 2’) within the catalytic domain. Site 2 binds to p130Cas in a phosphotyrosine-dependent manner, and co-operates with the N-terminal domain (‘site 1’) to promote efficient recognition of p130Cas by YopH in epithelial cells. The identification of two substrate-targeting sites in YopH that co-operate to promote epithelial cell detachment and bacterial virulence reinforces the importance of protein–protein interactions for determining protein tyrosine phosphatase specificity in vivo , and highlights the sophisticated nature of microbial pathogenicity factors.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73103/1/j.1365-2958.2005.04477.x.pd

    Co-operative Versus Independent Transport of Different Cargoes by Kinesin-1

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72137/1/j.1600-0854.2008.00722.x.pd

    A Dual-Readout F2 Assay That Combines Fluorescence Resonance Energy Transfer and Fluorescence Polarization for Monitoring Bimolecular Interactions

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    Forster (fluorescence) resonance energy transfer (FRET) and fluorescence polarization (FP) are widely used technologies for monitoring bimolecular interactions and have been extensively used in high-throughput screening (HTS) for probe and drug discovery. Despite their popularity in HTS, it has been recognized that different assay technologies may generate different hit lists for the same biochemical interaction. Due to the high cost of large-scale HTS campaigns, one has to make a critical choice to employee one assay platform for a particular HTS. Here we report the design and development of a dual-readout HTS assay that combines two assay technologies into one system using the Mcl-1 and Noxa BH3 peptide interaction as a model system. In this system, both FP and FRET signals were simultaneously monitored from one reaction, which is termed -Dual-Readout F2 assay- with F2 for FP and FRET. This dual-readout technology has been optimized in a 1,536-well ultra-HTS format for the discovery of Mcl-1 protein inhibitors and achieved a robust performance. This F2 assay was further validated by screening a library of 102,255 compounds. As two assay platforms are utilized for the same target simultaneously, hit information is enriched without increasing the screening cost. This strategy can be generally extended to other FP-based assays and is expected to enrich primary HTS information and enhance the hit quality of HTS campaigns.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90469/1/adt-2E2010-2E0292.pd

    Randomized phase II trial of bevacizumab plus everolimus versus bevacizumab alone for recurrent or persistent ovarian, fallopian tube or peritoneal carcinoma: An NRG oncology/gynecologic oncology group study

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    PURPOSE: Bevacizumab (BV) monotherapy leads to compensatory upregulation of multiple signaling pathways, resulting in mTOR activation. We evaluated combining BV and everolimus (EV), an mTOR kinase inhibitor, to circumvent BV-resistance in women with recurrent or persistent ovarian, fallopian tube or primary peritoneal cancer (OC). PATIENTS AND METHODS: Eligible OC patients had measurable (RECIST1.1) or detectable disease, 1-3 prior regimens, performance status (PS) 0-2, and no prior m-TOR inhibitor. All patients received BV 10 mg/kg IV every 2wks. Patients were randomized (1:1) to oral EV (10 mg daily) or placebo stratified by platinum-free interval (PFI), measurable disease and prior BV. Primary endpoint was progression-free survival (PFS); secondary endpoints included safety and response. RESULTS: 150 patients were randomized to BV with (n = 75) and without (n = 75) EV. Arms were well-balanced for age (median 63: range 28-92), PS (0: 73%, 1-2: 27%), prior regimens (1: 37%, 2: 47%, 3: 16%), prior BV (11%), PFI (<6mos: 65%) and measurable disease (81%). The BV + EV vs BV median PFS was 5.9 vs 4.5 months (hazard ratio [HR] 0.95 (95% CI, 0.66-1.37, p = 0.39)). Median OS was 16.6 vs 17.3 months (HR 1.16 (95% CI, 0.72-1.87, p = 0.55). Objective measurable responses were higher with BV + EV (22% vs 12%). Study removal due to toxicity was higher with BV + EV (29% vs 12%). Toxicity (≥grade 3) from BV + EV were "other GI (mucositis)" (23 vs 1%) and "metabolic/nutrition" (19 vs. 7%); common ≥ grade 2 toxicities with BV + EV were cytopenia, nausea, fatigue and rash. CONCLUSION: The combination regimen (BV + EV) did not significantly reduce the hazard of progression or death relative to BV and was associated with higher rates of adverse events and study discontinuation when compared to BV alone

    From proteomics to discovery of first-in-class ST2 inhibitors active in vivo

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    Soluble cytokine receptors function as decoy receptors to attenuate cytokine-mediated signaling and modulate downstream cellular responses. Dysregulated overproduction of soluble receptors can be pathological, such as soluble ST2 (sST2), a prognostic biomarker in cardiovascular diseases, ulcerative colitis, and graft-versus-host disease (GVHD). Although intervention using an ST2 antibody improves survival in murine GVHD models, sST2 is a challenging target for drug development because it binds to IL-33 via an extensive interaction interface. Here, we report the discovery of small-molecule ST2 inhibitors through a combination of high-throughput screening and computational analysis. After in vitro and in vivo toxicity assessment, 3 compounds were selected for evaluation in 2 experimental GVHD models. We show that the most effective compound, iST2-1, reduces plasma sST2 levels, alleviates disease symptoms, improves survival, and maintains graft-versus-leukemia activity. Our data suggest that iST2-1 warrants further optimization to develop treatment for inflammatory diseases mediated by sST2

    CSAR Benchmark Exercise of 2010: Selection of the Protein–Ligand Complexes

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    ABSTRACT: A major goal in drug design is the improvement of computational methods for docking and scoring. The Community Structure Activity Resource (CSAR) aims to collect available data from industry and academia which may be used for this purpose (www.csardock.org). Also, CSAR is charged with organizing community-wide exercises based on the collected data. The first of these exercises was aimed to gauge the overall state of docking and scoring, using a large and diverse data set of protein ligand complexes. Participants were asked to calculate the affinity of the complexes as provided and then recalculate with changes which may improve their specific method. This first data set was selected from existing PDB entries which had binding data (Kd or Ki) in Binding MOAD, augmented with entries from PDBbind. The final data set contains 343 diverse protein ligand complexes and spans 14 pKd. Sixteen proteins have three or more complexes in the data set, from which a user could start an inspection of congeneric series. Inherent experimental error limits the possible correlation between scores and measured affinity; R 2 is limited to ∼0.9 when fitting to the data set without over parametrizing. R 2 is limited to ∼0.8 when scoring the data set with a method trained on outside data. The details of how the data set was initially selected, and the process by which it matured t
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