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  2. Identification of novel covalent JAK3 inhibitors through consensus scoring virtual screening: integration of common feature pharmacophore and covalent docking

Identification of novel covalent JAK3 inhibitors through consensus scoring virtual screening: integration of common feature pharmacophore and covalent docking

  • Mol Divers. 2024 Jul 15. doi: 10.1007/s11030-024-10918-5.
Genhong Qiu 1 Li Yu 2 Lei Jia 1 Yanfei Cai 1 Yun Chen 1 Jian Jin 1 Lei Xu 3 Jingyu Zhu 4
Affiliations

Affiliations

  • 1 School of Life Sciences and Health Engineering, Jiangnan University, Wuxi, Jiangsu, 214122, China.
  • 2 School of Inspection and Testing Certification, Changzhou Vocational Institute of Engineering, Changzhou, 213164, Jiangsu, China.
  • 3 Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, 213001, China.
  • 4 School of Life Sciences and Health Engineering, Jiangnan University, Wuxi, Jiangsu, 214122, China. jingyuzhu@jiangnan.edu.cn.
Abstract

Accumulated research strongly indicates that Janus kinase 3 (JAK3) is intricately involved in the initiation and advancement of a diverse range of human diseases, underscoring JAK3 as a promising target for therapeutic intervention. However, JAK3 shows significant homology with other JAK family isoforms, posing substantial challenges in the development of JAK3 inhibitors. To address these limitations, one strategy is to design selective covalent JAK3 inhibitors. Therefore, this study introduces a virtual screening approach that combines common feature pharmacophore modeling, covalent docking, and consensus scoring to identify novel inhibitors for JAK3. First, common feature pharmacophore models were constructed based on a selection of representative covalent JAK3 inhibitors. The optimal qualitative pharmacophore model proved highly effective in distinguishing active and inactive compounds. Second, 14 crystal structures of the JAK3-covalent inhibitor complex were chosen for the covalent docking studies. Following validation of the screening performance, 5TTU was identified as the most suitable candidate for screening potential JAK3 inhibitors due to its higher predictive accuracy. Finally, a virtual screening protocol based on consensus scoring was conducted, integrating pharmacophore mapping and covalent docking. This approach resulted in the discovery of multiple compounds with notable potential as effective JAK3 inhibitors. We hope that the developed virtual screening strategy will provide valuable guidance in the discovery of novel covalent JAK3 inhibitors.

Keywords

Consensus scoring; Covalent JAK3 inhibitor; Covalent docking; Pharmacophore; Virtual screening.

Figures
Products
  • Cat. No.
    Product Name
    Description
    Target
    Research Area
  • HY-161912
    JAK3抑制剂
    JAK