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      PAINS in the Assay: Chemical Mechanisms of Assay Interference and Promiscuous Enzymatic Inhibition Observed during a Sulfhydryl-Scavenging HTS

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          Abstract

          Significant resources in early drug discovery are spent unknowingly pursuing artifacts and promiscuous bioactive compounds, while understanding the chemical basis for these adverse behaviors often goes unexplored in pursuit of lead compounds. Nearly all the hits from our recent sulfhydryl-scavenging high-throughput screen (HTS) targeting the histone acetyltransferase Rtt109 were such compounds. Herein, we characterize the chemical basis for assay interference and promiscuous enzymatic inhibition for several prominent chemotypes identified by this HTS, including some pan-assay interference compounds (PAINS). Protein mass spectrometry and ALARM NMR confirmed these compounds react covalently with cysteines on multiple proteins. Unfortunately, compounds containing these chemotypes have been published as screening actives in reputable journals and even touted as chemical probes or preclinical candidates. Our detailed characterization and identification of such thiol-reactive chemotypes should accelerate triage of nuisance compounds, guide screening library design, and prevent follow-up on undesirable chemical matter.

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          Most cited references77

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          PEAKS: powerful software for peptide de novo sequencing by tandem mass spectrometry.

          A number of different approaches have been described to identify proteins from tandem mass spectrometry (MS/MS) data. The most common approaches rely on the available databases to match experimental MS/MS data. These methods suffer from several drawbacks and cannot be used for the identification of proteins from unknown genomes. In this communication, we describe a new de novo sequencing software package, PEAKS, to extract amino acid sequence information without the use of databases. PEAKS uses a new model and a new algorithm to efficiently compute the best peptide sequences whose fragment ions can best interpret the peaks in the MS/MS spectrum. The output of the software gives amino acid sequences with confidence scores for the entire sequences, as well as an additional novel positional scoring scheme for portions of the sequences. The performance of PEAKS is compared with Lutefisk, a well-known de novo sequencing software, using quadrupole-time-of-flight (Q-TOF) data obtained for several tryptic peptides from standard proteins. Copyright 2003 John Wiley & Sons, Ltd.
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            Chemistry: Chemical con artists foil drug discovery.

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              Polyisoprenylated benzophenone, garcinol, a natural histone acetyltransferase inhibitor, represses chromatin transcription and alters global gene expression.

              Histone acetylation is a diagnostic feature of transcriptionally active genes. The proper recruitment and function of histone acetyltransferases (HATs) and deacetylases (HDACs) are key regulatory steps for gene expression and cell cycle. Functional defects of either of these enzymes may lead to several diseases, including cancer. HATs and HDACs thus are potential therapeutic targets. Here we report that garcinol, a polyisoprenylated benzophenone derivative from Garcinia indica fruit rind, is a potent inhibitor of histone acetyltransferases p300 (IC50 approximately 7 microm) and PCAF (IC50 approximately 5 microm) both in vitro and in vivo. The kinetic analysis shows that it is a mixed type of inhibitor with an increased affinity for PCAF compared with p300. HAT activity-dependent chromatin transcription was strongly inhibited by garcinol, whereas transcription from DNA template was not affected. Furthermore, it was found to be a potent inducer of apoptosis, and it alters (predominantly down-regulates) the global gene expression in HeLa cells.
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                Author and article information

                Journal
                J Med Chem
                J. Med. Chem
                jm
                jmcmar
                Journal of Medicinal Chemistry
                American Chemical Society
                0022-2623
                1520-4804
                29 January 2015
                12 March 2015
                : 58
                : 5
                : 2091-2113
                Affiliations
                []Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine , Rochester, Minnesota 55905, United States
                []Medical Scientist Training Program, Mayo Clinic College of Medicine , Rochester, Minnesota 55905, United States
                [§ ]Oncology iMed, AstraZeneca R&D , Unit 310, Darwin Building, Cambridge Science Park, Milton Road, Cambridge CB4 0WG, U.K.
                []Institute for Therapeutics Discovery and Development, University of Minnesota , 717 Delaware Street SE, Room 609, Minneapolis, Minnesota 55414, United States
                []Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota , Minneapolis, Minnesota 55455, United States
                [# ]Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine , Rochester, Minnesota 55905, United States
                Author notes
                [* ]Phone: 612-626-6864. E-mail: mwalters@ 123456umn.edu .
                Article
                10.1021/jm5019093
                4360378
                25634295
                15beb796-0cfb-45eb-8394-a11d1dd3b525
                Copyright © 2015 American Chemical Society

                This is an open access article published under an ACS AuthorChoice License, which permits copying and redistribution of the article or any adaptations for non-commercial purposes.

                History
                : 09 December 2014
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                Pharmaceutical chemistry
                Pharmaceutical chemistry

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