Chemical inhibition of chromatin-mediated signaling involved proteins is an established strategy to drive expression net-works 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.

Disruptor of telomeric silencing 1-like (DOT1L): disclosing a new class of non-nucleoside inhibitors by means of ligand-based and structure-based approaches / Sabatino, Manuela; Rotili, Dante; Patsilinakos, Alexandros; Forgione, Mariantonietta; Tomaselli, Daniela; Alby, Fréderic; Arimondo, Paola B.; Mai, Antonello; Ragno, Rino. - In: JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN. - ISSN 0920-654X. - STAMPA. - 32:3(2018), pp. 435-458. [10.1007/s10822-018-0096-z]

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

Sabatino, Manuela;Rotili, Dante;Patsilinakos, Alexandros;Forgione, Mariantonietta;Tomaselli, Daniela;Mai, Antonello
;
Ragno, Rino
2018

Abstract

Chemical inhibition of chromatin-mediated signaling involved proteins is an established strategy to drive expression net-works 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.
2018
3-D QSAR; combine; disruptor of telomeric silencing 1-like (DOT1L); ligand-based drug design; structure-based drug design; drug discovery3003 pharmaceutical science; computer science applications1707 computer vision and pattern recognition; physical and theoretical chemistry
01 Pubblicazione su rivista::01a Articolo in rivista
Disruptor of telomeric silencing 1-like (DOT1L): disclosing a new class of non-nucleoside inhibitors by means of ligand-based and structure-based approaches / Sabatino, Manuela; Rotili, Dante; Patsilinakos, Alexandros; Forgione, Mariantonietta; Tomaselli, Daniela; Alby, Fréderic; Arimondo, Paola B.; Mai, Antonello; Ragno, Rino. - In: JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN. - ISSN 0920-654X. - STAMPA. - 32:3(2018), pp. 435-458. [10.1007/s10822-018-0096-z]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1065694
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