Discovery and design of dual inhibitors targeting Sphk1 and Sirt1

被引:2
|
作者
Liu, Jin [1 ]
Zhao, Hui-lin [1 ]
He, Lei [1 ]
Yu, Ri-lei [2 ]
Kang, Cong-min [1 ]
机构
[1] Qingdao Univ Sci & Technol, Sch Chem Engn, Qingdao 266042, Peoples R China
[2] Ocean Univ China, Sch Med & Pharm, Chinese Minist Educ, Key Lab Marine Drugs, Qingdao 266003, Peoples R China
基金
中国国家自然科学基金;
关键词
Leukaemia; Dual target inhibitors; Virtual screening; Dynamics simulation; IMATINIB-INDUCED APOPTOSIS; LEUKEMIA STEM-CELLS; SPHINGOSINE KINASE-1; DRUG-RESISTANCE; METABOLISM; ACTIVATION;
D O I
10.1007/s00894-023-05551-2
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
ContextLeukaemia has become a serious threat to human health. Although tyrosine kinase inhibitors (TKIs) have been developed as targets for the remedy of leukaemia, drug resistance occurs. Research demonstrated that the simultaneous targeting of sphingosine kinase 1 (Sphk1) and Sirtuin 1 (Sirt1) can downregulate myeloid cell leukaemia-1 (MCL-1), overcome the resistance of tyrosine kinase inhibitors, and play a synergistic inhibitory impact on leukaemia treatment.MethodsIn this study, virtual screening of 7.06 million small molecules was done by sphingosine kinase 1 and Sirtuin 1 pharmacophore models using Schrodinger version 2019; after that, ADME and Toxicity molecule properties were predicted using Discovery Studio. Molecular docking using Schrodinger selected five molecules, which have the best binding affinity with sphingosine kinase 1 and Sirtuin 1. The five molecules and reference inhibitors were constructed with a total of 12 systems with GROMACS that carried out 100 ns molecular dynamics simulation and molecular mechanics/Poisson-Boltzmann surface area (MM/PBSA) calculation. Due to compound 3 has the lowest binding energy, its structure was modified. A series of compounds docked with sphingosine kinase 1 and Sirtuin 1, respectively. Among them, QST-LC03, QST-LD05, QST-LE03, and QST-LE04 have the better binding affinity than reference inhibitors. Moreover, the SwissADME and PASS platforms predict that 1, 3, QST-LC03, and QST-LE04 have further study value.
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页数:17
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