Literature DB >> 17676832

In silico chemical library screening and experimental validation of a novel 9-aminoacridine based lead-inhibitor of human S-adenosylmethionine decarboxylase.

Wesley H Brooks1, Diane E McCloskey, Kenyon G Daniel, Steven E Ealick, John A Secrist, William R Waud, Anthony E Pegg, Wayne C Guida.   

Abstract

In silico chemical library screening (virtual screening) was used to identify a novel lead compound capable of inhibiting S-adenosylmethionine decarboxylase (AdoMetDC). AdoMetDC is intimately involved in the biosynthesis of polyamines, which are essential for tumor progression and are elevated in numerous types of tumors. Therefore, inhibition of this enzyme provides an attractive target for the discovery of novel anticancer drugs. We performed virtual screening using a computer model derived from the X-ray crystal structure of human AdoMetDC and the National Cancer Institute's Diversity Set (1990 compounds). Our docking study suggested several compounds that could serve as drug candidates since their docking modes and scores revealed potential inhibitory activity toward AdoMetDC. Experimental testing of the top-scoring compounds indicated that one of these compounds (NSC 354961) possesses an IC50 in the low micromolar range. A search of the entire NCI compound collection for compounds similar to NSC 354961 yielded two additional compounds that exhibited activity in the experimental assay but with significantly diminished potency relative to NSC 354961. In this report, we disclose the activity of NSC 354961 against AdoMetDC and its probable binding mode based on computational modeling. We also discuss the importance of virtual screening in the context of enzymes that are not readily amenable to high-throughput assays, thereby demonstrating the efficacy of virtual screening, combined with selective experimental testing, in identifying new potential drug candidates.

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Year:  2007        PMID: 17676832     DOI: 10.1021/ci700005t

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  9 in total

Review 1.  Structural biology of S-adenosylmethionine decarboxylase.

Authors:  Shridhar Bale; Steven E Ealick
Journal:  Amino Acids       Date:  2009-12-08       Impact factor: 3.520

Review 2.  The significance of chirality in drug design and development.

Authors:  W H Brooks; W C Guida; K G Daniel
Journal:  Curr Top Med Chem       Date:  2011       Impact factor: 3.295

3.  Crystal structure of human spermine synthase: implications of substrate binding and catalytic mechanism.

Authors:  Hong Wu; Jinrong Min; Hong Zeng; Diane E McCloskey; Yoshihiko Ikeguchi; Peter Loppnau; Anthony J Michael; Anthony E Pegg; Alexander N Plotnikov
Journal:  J Biol Chem       Date:  2008-03-26       Impact factor: 5.157

Review 4.  Docking screens: right for the right reasons?

Authors:  Peter Kolb; John J Irwin
Journal:  Curr Top Med Chem       Date:  2009       Impact factor: 3.295

5.  Discovery of novel inhibitors of human S-adenosylmethionine decarboxylase based on in silico high-throughput screening and a non-radioactive enzymatic assay.

Authors:  Chenzeng Liao; Yanlin Wang; Xiao Tan; Lidan Sun; Sen Liu
Journal:  Sci Rep       Date:  2015-06-01       Impact factor: 4.379

6.  A selective high affinity MYC-binding compound inhibits MYC:MAX interaction and MYC-dependent tumor cell proliferation.

Authors:  Alina Castell; Qinzi Yan; Karin Fawkner; Per Hydbring; Fan Zhang; Vasiliki Verschut; Marcela Franco; Siti Mariam Zakaria; Wesam Bazzar; Jacob Goodwin; Giovanna Zinzalla; Lars-Gunnar Larsson
Journal:  Sci Rep       Date:  2018-07-03       Impact factor: 4.379

Review 7.  Commercial SARS-CoV-2 Targeted, Protease Inhibitor Focused and Protein-Protein Interaction Inhibitor Focused Molecular Libraries for Virtual Screening and Drug Design.

Authors:  Sebastjan Kralj; Marko Jukič; Urban Bren
Journal:  Int J Mol Sci       Date:  2021-12-30       Impact factor: 5.923

Review 8.  Docking and chemoinformatic screens for new ligands and targets.

Authors:  Peter Kolb; Rafaela S Ferreira; John J Irwin; Brian K Shoichet
Journal:  Curr Opin Biotechnol       Date:  2009-09-03       Impact factor: 9.740

9.  Novel mycosin protease MycP₁ inhibitors identified by virtual screening and 4D fingerprints.

Authors:  Adel Hamza; Jonathan M Wagner; Timothy J Evans; Mykhaylo S Frasinyuk; Stefan Kwiatkowski; Chang-Guo Zhan; David S Watt; Konstantin V Korotkov
Journal:  J Chem Inf Model       Date:  2014-03-27       Impact factor: 4.956

  9 in total

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