磷酸肌醇3-激酶γ(PI3Kγ)被认为是治疗多种疾病的有前景的药物靶点。以及I类PI3K同工型的不同生理作用(α,β,δ,和γ)强调了同工型选择性在PI3Kγ抑制剂开发中的重要性。然而,PI3K家族的高度结构保守性使得开发选择性PI3Kγ抑制剂面临巨大挑战。
开发了具有多个PI3Kγ蛋白结构的新型基于机器学习的虚拟筛选,以发现新型PI3Kγ抑制剂。
使用虚拟筛选模型筛选了大型化学品数据库,然后对排名靠前的化合物进行了一系列的生物评价,这导致了JN-KI3的发现。理论研究揭示了JN-KI3对PI3Kγ的选择性抑制机制。
通过虚拟筛选确定了49个命中,无细胞酶研究发现,JN-KI3在低至3,873nM的浓度下选择性抑制PI3Kγ,但对IA类PI3K没有抑制作用,导致对血液癌细胞的选择性细胞毒性。同时,JN-KI3有效阻断PI3K信号,最终导致低浓度血液细胞系明显的凋亡。最后,PI3Kγ的关键残基和JN-KI3的结构特征,这两者都会影响γ同工型选择性抑制,以系统的理论研究为重点。
开发的虚拟筛选模型强烈地显示了寻找新型PI3Kγ抑制剂的稳健性。JN-KI3对血液肿瘤细胞具有特异性细胞毒性,并显著促进与PI3K信号抑制相关的细胞凋亡,其中描述了PI3Kγ作为血液肿瘤治疗的潜在靶标。理论结果表明,与大多数报道的PI3Kγ抑制剂相比,与JN-KI3相互作用的关键残基不太常见,表明JN-KI3作为选择性PIK3γ抑制剂具有新的结构特征。
Phosphoinositide 3-kinase gamma (PI3Kγ) has been regarded as a promising drug target for the treatment of various diseases, and the diverse physiological roles of class I PI3K isoforms (α, β, δ, and γ) highlight the importance of isoform selectivity in the development of PI3Kγ inhibitors. However, the high structural conservation among the PI3K family makes it a big challenge to develop selective PI3Kγ inhibitors.
A novel machine learning-based virtual screening with multiple PI3Kγ protein structures was developed to discover novel PI3Kγ inhibitors.
A large chemical database was screened using the virtual screening model, the top-ranked compounds were then subjected to a series of bio-evaluations, which led to the discovery of JN-KI3. The selective inhibition mechanism of JN-KI3 against PI3Kγ was uncovered by a theoretical study.
49 hits were identified through virtual screening, and the cell-free enzymatic studies found that JN-KI3 selectively inhibited PI3Kγ at a concentration as low as 3,873 nM but had no inhibitory effect on Class IA PI3Ks, leading to the selective cytotoxicity on hematologic cancer cells. Meanwhile, JN-KI3 potently blocked the PI3K signaling, finally led to distinct apoptosis of hematologic cell lines at a low concentration. Lastly, the key residues of PI3Kγ and the structural characteristics of JN-KI3, which both would influence γ isoform-selective inhibition, were highlighted by systematic theoretical studies.
The developed virtual screening model strongly manifests the robustness to find novel PI3Kγ inhibitors. JN-KI3 displays a specific cytotoxicity on hematologic tumor cells, and significantly promotes apoptosis associated with the inhibition of the PI3K signaling, which depicts PI3Kγ as a potential target for the hematologic tumor therapy. The theoretical results reveal that those key residues interacting with JN-KI3 are less common compared to most of the reported PI3Kγ inhibitors, indicating that JN-KI3 has novel structural characteristics as a selective PIK3γ inhibitor.