Discovery of Mcl-1 inhibitors from integrated high throughput and virtual screening

作者：Mady, Ahmed S. A.; Liao, Chenzhong; Bajwa, Naval; Kump, Karson J.; Abulwerdi, Fardokht A.; Lev, Katherine L.; Miao, Lei; Grig**y, Sierrah M.; Perdihs, Andrej; Stuckey, Jeanne A.; Du, Yuhong; Fu, Haian; Nikolovska-Coleska, Zaneta^*

来源：Scientific Reports, 2018, 8(1): 10210.

DOI：10.1038/s41598-018-27899-9

• SELECTIVE SMALL-MOLECULE
• TARGET INTERACTION PREDICTION
• PROTEIN-PROTEIN INTERACTIONS
• MYELOID CELL LEUKEMIA-1
• STRUCTURE-BASED DESIGN
• BCL-2 FAMILY PROTEINS
• PAN-ACTIVE INHIBITOR
• HEPATOCELLULAR-CARCINOMA
• OBATOCLAX GX15-070
• ACCURATE DOCKING

Protein-protein interactions (PPIs) represent important and promising therapeutic targets that are associated with the regulation of various molecular pathways, particularly in cancer. Although they were once considered "undruggable," the recent advances in screening strategies, structure-based design, and elucidating the nature of hot spots on PPI interfaces, have led to the discovery and development of successful small-molecule inhibitors. In this report, we are describing an integrated high-throughput and computational screening approach to enable the discovery of small-molecule PPI inhibitors of the antiapoptotic protein, Mcl-1. Applying this strategy, followed by biochemical, biophysical, and biological characterization, nineteen new chemical scaffolds were discovered and validated as Mcl-1 inhibitors. A novel series of Mcl-1 inhibitors was designed and synthesized based on the identified difuryl-triazine core scaffold and structure-activity studies were undertaken to improve the binding affinity to Mcl1. Compounds with improved in vitro binding potency demonstrated on-target activity in cell-based studies. The obtained results demonstrate that structure-based analysis complements the experimental high-throughput screening in identifying novel PPI inhibitor scaffolds and guides follow-up medicinal chemistry efforts. Furthermore, our work provides an example that can be applied to the analysis of available screening data against numerous targets in the PubChem BioAssay Database, leading to the identification of promising lead compounds, fuelling drug discovery pipelines.

• 出版日期2018-7-5
• 单位合肥工业大学