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      Specific CLK Inhibitors from a Novel Chemotype for Regulation of Alternative Splicing

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          Summary

          There is a growing recognition of the importance of protein kinases in the control of alternative splicing. To define the underlying regulatory mechanisms, highly selective inhibitors are needed. Here, we report the discovery and characterization of the dichloroindolyl enaminonitrile KH-CB19, a potent and highly specific inhibitor of the CDC2-like kinase isoforms 1 and 4 (CLK1/CLK4). Cocrystal structures of KH-CB19 with CLK1 and CLK3 revealed a non-ATP mimetic binding mode, conformational changes in helix αC and the phosphate binding loop and halogen bonding to the kinase hinge region. KH-CB19 effectively suppressed phosphorylation of SR (serine/arginine) proteins in cells, consistent with its expected mechanism of action. Chemical inhibition of CLK1/CLK4 generated a unique pattern of splicing factor dephosphorylation and had at low nM concentration a profound effect on splicing of the two tissue factor isoforms flTF (full-length TF) and asHTF (alternatively spliced human TF).

          Highlights

          ► We report a highly selective nanomolar inhibitor KH-CB19 for the kinases CLK1/4 and DYRK1 ► KH-CB19 cocrystal structures revealed an ATP competitive but not ATP mimetic binding mode ► KH-CB19 formed halogen bonds with the kinase hinge region ► KH-CB19 led to dephosphorylation of SR proteins and effected splicing of TF isoforms in cells

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          Most cited references41

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          A small molecule-kinase interaction map for clinical kinase inhibitors.

          Kinase inhibitors show great promise as a new class of therapeutics. Here we describe an efficient way to determine kinase inhibitor specificity by measuring binding of small molecules to the ATP site of kinases. We have profiled 20 kinase inhibitors, including 16 that are approved drugs or in clinical development, against a panel of 119 protein kinases. We find that specificity varies widely and is not strongly correlated with chemical structure or the identity of the intended target. Many novel interactions were identified, including tight binding of the p38 inhibitor BIRB-796 to an imatinib-resistant variant of the ABL kinase, and binding of imatinib to the SRC-family kinase LCK. We also show that mutations in the epidermal growth factor receptor (EGFR) found in gefitinib-responsive patients do not affect the binding affinity of gefitinib or erlotinib. Our results represent a systematic small molecule-protein interaction map for clinical compounds across a large number of related proteins.
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            Optimal description of a protein structure in terms of multiple groups undergoing TLS motion.

            A single protein crystal structure contains information about dynamic properties of the protein as well as providing a static view of one three-dimensional conformation. This additional information is to be found in the distribution of observed electron density about the mean position of each atom. It is general practice to account for this by refining a separate atomic displacement parameter (ADP) for each atomic center. However, these same displacements are often described well by simpler models based on TLS (translation/libration/screw) rigid-body motion of large groups of atoms, for example interdomain hinge motion. A procedure, TLSMD, has been developed that analyzes the distribution of ADPs in a previously refined protein crystal structure in order to generate optimal multi-group TLS descriptions of the constituent protein chains. TLSMD is applicable to crystal structures at any resolution. The models generated by TLSMD analysis can significantly improve the standard crystallographic residuals R and R(free) and can reveal intrinsic dynamic properties of the protein.
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              Genome-wide RNAi screen identifies human host factors crucial for influenza virus replication.

              Influenza A virus, being responsible for seasonal epidemics and reoccurring pandemics, represents a worldwide threat to public health. High mutation rates facilitate the generation of viral escape mutants, rendering vaccines and drugs directed against virus-encoded targets potentially ineffective. In contrast, targeting host cell determinants temporarily dispensable for the host but crucial for virus replication could prevent viral escape. Here we report the discovery of 287 human host cell genes influencing influenza A virus replication in a genome-wide RNA interference (RNAi) screen. Using an independent assay we confirmed 168 hits (59%) inhibiting either the endemic H1N1 (119 hits) or the current pandemic swine-origin (121 hits) influenza A virus strains, with an overlap of 60%. Notably, a subset of these common hits was also essential for replication of a highly pathogenic avian H5N1 strain. In-depth analyses of several factors provided insights into their infection stage relevance. Notably, SON DNA binding protein (SON) was found to be important for normal trafficking of influenza virions to late endosomes early in infection. We also show that a small molecule inhibitor of CDC-like kinase 1 (CLK1) reduces influenza virus replication by more than two orders of magnitude, an effect connected with impaired splicing of the viral M2 messenger RNA. Furthermore, influenza-virus-infected p27(-/-) (cyclin-dependent kinase inhibitor 1B; Cdkn1b) mice accumulated significantly lower viral titres in the lung, providing in vivo evidence for the importance of this gene. Thus, our results highlight the potency of genome-wide RNAi screening for the dissection of virus-host interactions and the identification of drug targets for a broad range of influenza viruses.
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                Author and article information

                Journal
                Chem Biol
                Chem. Biol
                Chemistry & Biology
                Elsevier
                1074-5521
                1879-1301
                28 January 2011
                28 January 2011
                : 18
                : 1
                : 67-76
                Affiliations
                [1 ]University of Oxford, Nuffield Department of Clinical Medicine, Structural Genomics Consortium, Old Road Campus Research Building, Oxford OX3 7DQ, UK
                [2 ]Ludwig-Maximilians Universität, Department of Pharmacy-Center for Drug Research, Butenandtstrasse 5-13, 81377 Munich, Germany
                [3 ]Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Centrum für Herz-und Kreislaufmedizin, Berlin, Germany
                [4 ]NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Denmark
                [5 ]Novartis Pharma AG, Klybeckstrasse 141, CH-4002 Basel, Switzerland
                [6 ]University of Oxford, Department of Clinical Pharmacology, Old Road Campus Research Building, Oxford OX3 7DQ, UK
                Author notes
                []Corresponding author franz.bracher@ 123456cup.uni-muenchen.de
                [∗∗ ]Corresponding author stefan.knapp@ 123456sgc.ox.ac.uk
                [7]

                These authors contributed equally to this work

                Article
                CHBIOL1810
                10.1016/j.chembiol.2010.11.009
                3145970
                21276940
                7546542d-2eb8-46f4-a0ec-f80ff12685dc
                © 2011 Elsevier Ltd.

                This document may be redistributed and reused, subject to certain conditions.

                History
                : 7 July 2010
                : 8 November 2010
                : 10 November 2010
                Categories
                Article

                Biochemistry
                Biochemistry

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