Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/120501
Title: In silico screening of a designed focused chemical space identifies novel alkyl hydrazides as potent HDAC11 inhibitors
Author(s): Baselious, FadyLook up in the Integrated Authority File of the German National Library
Hilscher, Sebastian
Handke, Lukas
Barinka, Cyril
Schutkowski, Mike
Sippl, WolfgangLook up in the Integrated Authority File of the German National Library
Issue Date: 2025
Type: Article
Language: English
Abstract: The therapeutic potential of HDAC inhibitors containing a hydroxamic acid moiety as a zinc-binding group (ZBG) is limited in clinical use due to their potential mutagenicity. In addition, hydroxamic acids often exhibit off-target effects that can lead to undesirable toxicity. Therefore, the development of HDAC inhibitors with alternative ZBGs has proven to be a promising approach to overcome these drawbacks. HDAC inhibitors carrying alkyl hydrazide as ZBG have recently been published as selective inhibitors for different HDAC subtypes. In the present study, a ligand-based virtual screening workflow, employing a classification categorical model, was developed and applied for a designed targeted chemical space. The two most promising hits from the virtual screening were synthesized and evaluated by in vitro enzyme inhibition assays. Both hits showed strong inhibition of HDAC11 with IC50 values in the nanomolar range. In addition, the compounds showed good selectivity towards HDAC11 at a concentration of 1 μM, only HDAC8 was also significantly inhibited among all tested subtypes. Finally, the binding mode of the selected candidates was investigated by docking against different HDACs, followed by molecular dynamics simulations and metadynamics studies to provide insights for further chemical optimization.
URI: https://opendata.uni-halle.de//handle/1981185920/122456
http://dx.doi.org/10.25673/120501
Open Access: Open access publication
License: (CC BY-NC 4.0) Creative Commons Attribution NonCommercial 4.0(CC BY-NC 4.0) Creative Commons Attribution NonCommercial 4.0
Journal Title: Computers in biology and medicine
Publisher: Elsevier Science
Publisher Place: Amsterdam [u.a.]
Volume: 196
Original Publication: 10.1016/j.compbiomed.2025.110695
Appears in Collections:Open Access Publikationen der MLU

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