Title | Identification of Thiourea-Based Inhibitors of the B-Cell Lymphoma 6 BTB Domain via NMR-Based Fragment Screening and Computer-Aided Drug Design. |
Publication Type | Journal Article |
Year of Publication | 2018 |
Authors | Cheng, Huimin, Linhares Brian M., Yu Wenbo, Cardenas Mariano G., Ai Yong, Jiang Wenjuan, Winkler Alyssa, Cohen Sandra, Melnick Ari, MacKerell Alexander, Cierpicki Tomasz, and Xue Fengtian |
Journal | J Med Chem |
Volume | 61 |
Issue | 17 |
Pagination | 7573-7588 |
Date Published | 2018 Sep 13 |
ISSN | 1520-4804 |
Keywords | Antineoplastic Agents, BTB-POZ Domain, Cell Line, Tumor, Computer-Aided Design, Crystallography, X-Ray, Drug Design, Humans, Hydrogen Bonding, Lymphoma, Large B-Cell, Diffuse, Magnetic Resonance Spectroscopy, Proto-Oncogene Proteins c-bcl-6, Small Molecule Libraries, Structure-Activity Relationship, Thiourea |
Abstract | <p>Protein-protein interactions (PPI) between the transcriptional repressor B-cell lymphoma 6 (BCL6) BTB domain (BCL6) and its corepressors have emerged as a promising target for anticancer therapeutics. However, identification of potent, drug-like inhibitors of BCL6 has remained challenging. Using NMR-based screening of a library of fragment-like small molecules, we have identified a thiourea compound (7CC5) that binds to BCL6. From this hit, the application of computer-aided drug design (CADD), medicinal chemistry, NMR spectroscopy, and X-ray crystallography has yielded an inhibitor, 15f, that demonstrated over 100-fold improved potency for BCL6. This gain in potency was achieved by a unique binding mode that mimics the binding mode of the corepressor SMRT in the aromatic and the HDCH sites. The structure-activity relationship based on these new inhibitors will have a significant impact on the rational design of novel BCL6 inhibitors, facilitating the identification of therapeutics for the treatment of BCL6-dependent tumors.</p> |
DOI | 10.1021/acs.jmedchem.8b00040 |
Alternate Journal | J Med Chem |
PubMed ID | 29969259 |
PubMed Central ID | PMC6334293 |
Grant List | R44 GM109635 / GM / NIGMS NIH HHS / United States |