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      Sensor dimer disruption as a new mode of action to block the IRE1-mediated unfolded protein response

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          Abstract

          The unfolded protein response (UPR) is activated to cope with an accumulation of improperly folded proteins in the Endoplasmic reticulum (ER). The Inositol requiring enzyme 1α (IRE1α) is the most evolutionary conserved transducer of the UPR. Activated IRE1 forms ‘back-to-back’-dimers that enables the unconventional splicing of X-box Binding Protein 1 (XBP1) mRNA. The spliced XBP1 ( XBP1s) mRNA is translated into a transcription factor controlling the expression of UPR target genes. Herein, we report a detailed in silico screening specifically targeting for the first time the dimer interface at the IRE1 RNase region. Using the database of FDA approved drugs, we identified four compounds (neomycin, pemetrexed, quercitrin and rutin) that were able to bind to and distort IRE1 RNase cavity. The activity of the compounds on IRE1 phosphorylation was evaluated in HEK293T cells and on IRE1 RNase activity using an in vitro fluorescence assay. These analyzes revealed sub-micromolar IC 50 values. The current study reveals a new and unique mode of action to target and block the IRE1-mediated UPR signaling, whereby we may avoid problems associated with selectivity occurring when targeting the IRE1 kinase pocket as well as the inherent reactivity of covalent inhibitors targeting the RNase pocket.

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          Most cited references49

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          Comparison of simple potential functions for simulating liquid water

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            Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.

            Unlike other methods for docking ligands to the rigid 3D structure of a known protein receptor, Glide approximates a complete systematic search of the conformational, orientational, and positional space of the docked ligand. In this search, an initial rough positioning and scoring phase that dramatically narrows the search space is followed by torsionally flexible energy optimization on an OPLS-AA nonbonded potential grid for a few hundred surviving candidate poses. The very best candidates are further refined via a Monte Carlo sampling of pose conformation; in some cases, this is crucial to obtaining an accurate docked pose. Selection of the best docked pose uses a model energy function that combines empirical and force-field-based terms. Docking accuracy is assessed by redocking ligands from 282 cocrystallized PDB complexes starting from conformationally optimized ligand geometries that bear no memory of the correctly docked pose. Errors in geometry for the top-ranked pose are less than 1 A in nearly half of the cases and are greater than 2 A in only about one-third of them. Comparisons to published data on rms deviations show that Glide is nearly twice as accurate as GOLD and more than twice as accurate as FlexX for ligands having up to 20 rotatable bonds. Glide is also found to be more accurate than the recently described Surflex method.
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              Development and Testing of the OPLS All-Atom Force Field on Conformational Energetics and Properties of Organic Liquids

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                Author and article information

                Contributors
                Journal
                Comput Struct Biotechnol J
                Comput Struct Biotechnol J
                Computational and Structural Biotechnology Journal
                Research Network of Computational and Structural Biotechnology
                2001-0370
                29 March 2022
                2022
                29 March 2022
                : 20
                : 1584-1592
                Affiliations
                [a ]Department of Chemistry and Molecular Biology, University of Gothenburg, 405 30 Göteborg, Sweden
                [b ]INSERM U1242, Université de Rennes, Rennes, France
                [c ]Centre de Lutte contre le Cancer Eugène Marquis, Rennes, France
                [d ]Università della Svizzera italiana (USI), Faculty of Biomedical Sciences, Euler Institute, Lugano, Switzerland
                Author notes
                Article
                S2001-0370(22)00104-0
                10.1016/j.csbj.2022.03.029
                9010685
                35465159
                e71d8401-4fa9-486e-bbb7-4be6dd9b6e90
                © 2022 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 25 October 2021
                : 25 March 2022
                : 27 March 2022
                Categories
                Research Article

                ire1α,upr,peptide docking,dimer disruptor,fda approved drugs,md simulations

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