Literature DB >> 29335872

Disruptor of telomeric silencing 1-like (DOT1L): disclosing a new class of non-nucleoside inhibitors by means of ligand-based and structure-based approaches.

Manuela Sabatino1,2, Dante Rotili2, Alexandros Patsilinakos1,2,3, Mariantonietta Forgione2, Daniela Tomaselli2, Fréderic Alby4, Paola B Arimondo5,6, Antonello Mai7, Rino Ragno8,9,10.   

Abstract

Chemical inhibition of chromatin-mediated signaling involved proteins is an established strategy to drive expression networks and alter disease progression. Protein methyltransferases are among the most studied proteins in epigenetics and, in particular, disruptor of telomeric silencing 1-like (DOT1L) lysine methyltransferase plays a key role in MLL-rearranged acute leukemia Selective inhibition of DOT1L is an established attractive strategy to breakdown aberrant H3K79 methylation and thus overexpression of leukemia genes, and leukemogenesis. Although numerous DOT1L inhibitors have been several structural data published no pronounced computational efforts have been yet reported. In these studies a first tentative of multi-stage and LB/SB combined approach is reported in order to maximize the use of available data. Using co-crystallized ligand/DOT1L complexes, predictive 3-D QSAR and COMBINE models were built through a python implementation of previously reported methodologies. The models, validated by either modeled or experimental external test sets, proved to have good predictive abilities. The application of these models to an internal library led to the selection of two unreported compounds that were found able to inhibit DOT1L at micromolar level. To the best of our knowledge this is the first report of quantitative LB and SB DOT1L inhibitors models and their application to disclose new potential epigenetic modulators.

Entities:  

Keywords:  3-D QSAR; COMBINE; Disruptor of telomeric silencing 1-like (DOT1L); Ligand-Based Drug Design; Structure-Based Drug Design

Mesh:

Substances:

Year:  2018        PMID: 29335872     DOI: 10.1007/s10822-018-0096-z

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  64 in total

1.  The Protein Data Bank.

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Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Histone deacetylase inhibitors: structure-based modeling and isoform-selectivity prediction.

Authors:  Laura Silvestri; Flavio Ballante; Antonello Mai; Garland R Marshall; Rino Ragno
Journal:  J Chem Inf Model       Date:  2012-07-19       Impact factor: 4.956

3.  DOT1L regulates dystrophin expression and is critical for cardiac function.

Authors:  Anh T Nguyen; Bin Xiao; Ronald L Neppl; Eric M Kallin; Juan Li; Taiping Chen; Da-Zhi Wang; Xiao Xiao; Yi Zhang
Journal:  Genes Dev       Date:  2011-02-01       Impact factor: 11.361

4.  Potent inhibition of DOT1L as treatment of MLL-fusion leukemia.

Authors:  Scott R Daigle; Edward J Olhava; Carly A Therkelsen; Aravind Basavapathruni; Lei Jin; P Ann Boriack-Sjodin; Christina J Allain; Christine R Klaus; Alejandra Raimondi; Margaret Porter Scott; Nigel J Waters; Richard Chesworth; Mikel P Moyer; Robert A Copeland; Victoria M Richon; Roy M Pollock
Journal:  Blood       Date:  2013-06-25       Impact factor: 22.113

5.  3D-QSAR methods on the basis of ligand-receptor complexes. Application of COMBINE and GRID/GOLPE methodologies to a series of CYP1A2 ligands.

Authors:  J J Lozano; M Pastor; G Cruciani; K Gaedt; N B Centeno; F Gago; F Sanz
Journal:  J Comput Aided Mol Des       Date:  2000-05       Impact factor: 3.686

6.  Discovery of Novel Disruptor of Silencing Telomeric 1-Like (DOT1L) Inhibitors using a Target-Specific Scoring Function for the (S)-Adenosyl-l-methionine (SAM)-Dependent Methyltransferase Family.

Authors:  Yulan Wang; Linjuan Li; Bidong Zhang; Jing Xing; Shijie Chen; Wei Wan; Yakai Song; Hao Jiang; Hualiang Jiang; Cheng Luo; Mingyue Zheng
Journal:  J Med Chem       Date:  2017-02-21       Impact factor: 7.446

7.  Catalytic site remodelling of the DOT1L methyltransferase by selective inhibitors.

Authors:  Wenyu Yu; Emma J Chory; Amy K Wernimont; Wolfram Tempel; Alex Scopton; Alexander Federation; Jason J Marineau; Jun Qi; Dalia Barsyte-Lovejoy; Joanna Yi; Richard Marcellus; Roxana E Iacob; John R Engen; Carly Griffin; Ahmed Aman; Erno Wienholds; Fengling Li; Javier Pineda; Guillermina Estiu; Tatiana Shatseva; Taraneh Hajian; Rima Al-Awar; John E Dick; Masoud Vedadi; Peter J Brown; Cheryl H Arrowsmith; James E Bradner; Matthieu Schapira
Journal:  Nat Commun       Date:  2012       Impact factor: 14.919

8.  AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility.

Authors:  Garrett M Morris; Ruth Huey; William Lindstrom; Michel F Sanner; Richard K Belew; David S Goodsell; Arthur J Olson
Journal:  J Comput Chem       Date:  2009-12       Impact factor: 3.376

9.  Involvement of a homolog of Drosophila trithorax by 11q23 chromosomal translocations in acute leukemias.

Authors:  D C Tkachuk; S Kohler; M L Cleary
Journal:  Cell       Date:  1992-11-13       Impact factor: 41.582

10.  Knowledge-guided docking: accurate prospective prediction of bound configurations of novel ligands using Surflex-Dock.

Authors:  Ann E Cleves; Ajay N Jain
Journal:  J Comput Aided Mol Des       Date:  2015-05-05       Impact factor: 3.686

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  8 in total

Review 1.  Recent progress on cheminformatics approaches to epigenetic drug discovery.

Authors:  Zoe Sessions; Norberto Sánchez-Cruz; Fernando D Prieto-Martínez; Vinicius M Alves; Hudson P Santos; Eugene Muratov; Alexander Tropsha; José L Medina-Franco
Journal:  Drug Discov Today       Date:  2020-09-30       Impact factor: 7.851

2.  Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal.

Authors:  Eleonora Proia; Alessio Ragno; Lorenzo Antonini; Manuela Sabatino; Milan Mladenovič; Roberto Capobianco; Rino Ragno
Journal:  J Comput Aided Mol Des       Date:  2022-06-18       Impact factor: 4.179

3.  Identification of DOT1L inhibitors by structure-based virtual screening adapted from a nucleoside-focused library.

Authors:  Garrett S Gibbons; Amarraj Chakraborty; Sierrah M Grigsby; Afoma C Umeano; Chenzhong Liao; Omar Moukha-Chafiq; Vibha Pathak; Bini Mathew; Young-Tae Lee; Yali Dou; Stephan C Schürer; Robert C Reynolds; Timothy S Snowden; Zaneta Nikolovska-Coleska
Journal:  Eur J Med Chem       Date:  2020-01-02       Impact factor: 6.514

4.  A novel screening strategy to identify histone methyltransferase inhibitors reveals a crosstalk between DOT1L and CARM1.

Authors:  Yang Si; Corentin Bon; Magdalena Barbachowska; Veronique Cadet-Daniel; Corinne Jallet; Laura Soresinetti; Mikaël Boullé; Magalie Duchateau; Mariette Matondo; Fabrice Agou; Ludovic Halby; Paola B Arimondo
Journal:  RSC Chem Biol       Date:  2022-02-22

Review 5.  Histone Methyltransferase DOT1L as a Promising Epigenetic Target for Treatment of Solid Tumors.

Authors:  Elena Alexandrova; Annamaria Salvati; Giovanni Pecoraro; Jessica Lamberti; Viola Melone; Assunta Sellitto; Francesca Rizzo; Giorgio Giurato; Roberta Tarallo; Giovanni Nassa; Alessandro Weisz
Journal:  Front Genet       Date:  2022-04-13       Impact factor: 4.772

Review 6.  Therapeutic Potential and Activity Modulation of the Protein Lysine Deacylase Sirtuin 5.

Authors:  Francesco Fiorentino; Carola Castiello; Antonello Mai; Dante Rotili
Journal:  J Med Chem       Date:  2022-07-08       Impact factor: 8.039

7.  Dissecting the role of novel EZH2 inhibitors in primary glioblastoma cell cultures: effects on proliferation, epithelial-mesenchymal transition, migration, and on the pro-inflammatory phenotype.

Authors:  Giulia Stazi; Ludovica Taglieri; Alice Nicolai; Annalisa Romanelli; Rossella Fioravanti; Stefania Morrone; Manuela Sabatino; Rino Ragno; Samanta Taurone; Marcella Nebbioso; Raffaella Carletti; Marco Artico; Sergio Valente; Susanna Scarpa; Antonello Mai
Journal:  Clin Epigenetics       Date:  2019-12-02       Impact factor: 6.551

Review 8.  Targeting the histone H3 lysine 79 methyltransferase DOT1L in MLL-rearranged leukemias.

Authors:  Yan Yi; Shenglei Ge
Journal:  J Hematol Oncol       Date:  2022-03-24       Impact factor: 17.388

  8 in total

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