Machine learning-aided design, synthesis and biological evaluation of novel 4-(imidazo[1,2-a]pyridine-3‑carbonyl) phenyl urea derivatives as potent FLT3 inhibitors

  • Bioorg Chem. 2025 Sep:164:108912. doi: 10.1016/j.bioorg.2025.108912.
Qiang Huang  1 Lvjia Wu  2 Jiangdong Li  3 Yongxin Lou  4 Xin Jin  2 Chenxi Wang  5 Xiaoran Cao  5 Xianheng Wang  2 Lei Zhu  2 Qianlu Xing  6 Xiaojuan Ma  7 Yihuan Zhao  8 Changkuo Zhao  9
Affiliations
  • 1. School of Pharmacy, Zunyi Medical University, Zunyi, Guizhou 563000, China.. Electronic address: [email protected].
  • 2. School of Pharmacy, Zunyi Medical University, Zunyi, Guizhou 563000, China.
  • 3. Pengshui Miao and Tujia Autonomous County Center for Disease Control and Prevention, Pengshui, Chongqing 409600, China.
  • 4. School of Preclinical Medicine, Zunyi Medical University, Zunyi, Guizhou 563006, China.
  • 5. The First Clinical Institute, Zunyi Medical University, Zunyi, Guizhou 563000, China.
  • 6. Department of Pediatric, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou 563000, China.
  • 7. School of Public Health, Zunyi Medical University, Zunyi, Guizhou 563000, China.
  • 8. School of Pharmacy, Zunyi Medical University, Zunyi, Guizhou 563000, China.. Electronic address: [email protected].
  • 9. School of Pharmacy, Zunyi Medical University, Zunyi, Guizhou 563000, China.. Electronic address: [email protected].
Abstract

FLT3 protein kinase is a promising target for the treatment of acute myeloid leukemia (AML), and the development of this kinase inhibitor is highly desirable to overcome FLT3-positive AML. Herein, the bioactive predictions and screening were conducted based on our previous machine learning model in this work. Using ZY06 as a candidate, the design, synthesis and biological evaluation of a series of 4-(imidazo[1,2-a]pyridine-3‑carbonyl) phenyl urea derivatives as novel FLT3 inhibitors were systematically investigated. These compounds exhibited excellent inhibitory potency towards FLT3-ITD kinase, and moderate to potent antiproliferative activities against MV4-11 cells. The compound ZY12 displayed good selectivity to Other kinases and excellent bioactivity in vitro, and concentration-dependently induced cycle arrest of MV4-11 cells. Moreover, ZY12 could significantly block the phosphorylation of FLT3 and its downstream signal pathways, such as Akt and ERK, and exhibit good safety in vivo, which serve as a lead molecule for developing novel FLT3 inhibitors against AML.

Keywords
Acute myeloid leukemia; Antitumor; FLT3; Inhibitor; Machine learning.
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