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Computer-Aided Discovery of Small Molecule Inhibitors of Thymocyte Selection-Associated High Mobility Group Box Protein (TOX) as Potential Therapeutics for Cutaneous T-Cell Lymphomas.
- Source :
-
Molecules (Basel, Switzerland) [Molecules] 2019 Sep 24; Vol. 24 (19). Date of Electronic Publication: 2019 Sep 24. - Publication Year :
- 2019
-
Abstract
- Cutaneous T-cell lymphomas (CTCL) are the most common primary lymphomas of the skin. We have previously identified thymocyte selection-associated high mobility group (HMG) box protein (TOX) as a promising drug target in CTCL; however, there are currently no small molecules able to directly inhibit TOX. We aimed to address this unmet opportunity by developing anti-TOX therapeutics with the use of computer-aided drug discovery methods. The available NMR-resolved structure of the TOX protein was used to model its DNA-binding HMG-box domain. To investigate the druggability of the corresponding protein-DNA interface on TOX, we performed a pilot virtual screening of 200,000 small molecules using in silico docking and identified 'hot spots' for drug-binding on the HMG-box domain. We then performed a large-scale virtual screening of 7.6 million drug-like compounds that were available from the ZINC15 database. As a result, a total of 140 top candidate compounds were selected for subsequent in vitro validation. Of those, 18 small molecules have been characterized as selective TOX inhibitors.
- Subjects :
- Animals
Antineoplastic Agents therapeutic use
Cell Line, Tumor
Cell Proliferation drug effects
Humans
Lymphoma, T-Cell, Cutaneous drug therapy
Mice
Molecular Docking Simulation
Molecular Dynamics Simulation
Protein Binding
Quantitative Structure-Activity Relationship
Small Molecule Libraries
Antineoplastic Agents chemistry
Antineoplastic Agents pharmacology
Drug Design
Drug Discovery methods
High Mobility Group Proteins antagonists & inhibitors
High Mobility Group Proteins chemistry
Subjects
Details
- Language :
- English
- ISSN :
- 1420-3049
- Volume :
- 24
- Issue :
- 19
- Database :
- MEDLINE
- Journal :
- Molecules (Basel, Switzerland)
- Publication Type :
- Academic Journal
- Accession number :
- 31554191
- Full Text :
- https://doi.org/10.3390/molecules24193459