Exploring molecular interactions of potential inhibitors against the spleen tyrosine kinase implicated in autoimmune disorders via virtual screening and molecular dynamics simulations.

IF 2.3 3区 环境科学与生态学 Q3 CHEMISTRY, MULTIDISCIPLINARY
S Samanta, M F Sk, S Koirala, P Kar
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引用次数: 0

Abstract

The spleen tyrosine kinase (Syk) plays a pivotal role in immune cells' signal transduction mechanism. While fostamatinib, an FDA-approved Syk inhibitor, is currently used to treat immune thrombocytopenia, the search for improved Syk-targeted medications to treat autoimmune diseases is still underway. Herein, we screened 38,493 compounds against Syk and selected eight leads based on the docking score and ADMET properties, and performed 3×200 ns long molecular dynamics simulations of the apo and Syk-ligand complexes. We considered R406, the active component of fostamatinib, as a control. The molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) calculations demonstrated the lead1 (ΔGbind = -30.35 kcal/mol) exhibited a similar binding free energy as the control (ΔGbind= -29.82 kcal/mol). The Syk stabilizing effect of lead1 was also indicated in its network features, sampling space, and residual correlation motion analysis. We further generated 100 structural analogues of lead1 using deep learning, and one of the analogues displayed a better binding free energy (ΔGbind= -47.58 kcal/mol) compared to the control or lead1, facilitated by more favourable van der Waals interactions and lesser binding-opposing net polar forces. This analogue may be further exploited to develop effective therapeutics against Syk-associated diseases after validation in vitro and in vivo.

通过虚拟筛选和分子动力学模拟,探索潜在抑制剂与自身免疫性疾病相关的脾脏酪氨酸激酶的分子相互作用。
脾脏酪氨酸激酶(Syk)在免疫细胞的信号转导机制中起着关键作用。虽然美国食品药品监督管理局批准的Syk抑制剂福斯塔马替尼目前用于治疗免疫性血小板减少症,但寻找改良的Syk靶向药物治疗自身免疫性疾病的工作仍在进行中。在此,我们筛选了38493种抗Syk的化合物,并根据对接得分和ADMET特性选择了8种引线,并对apo和Syk配体复合物进行了3×200ns长的分子动力学模拟。我们认为R406,福沙替尼的活性成分,作为对照。分子力学泊松-玻尔兹曼表面积(MM-PBSA)计算表明铅1(ΔGbind = -30.35 kcal/mol)表现出与对照相似的结合自由能(ΔGbind=29.82 kcal/mol)。铅1的Syk稳定效应也体现在其网络特征、采样空间和残差相关运动分析中。我们使用深度学习进一步生成了100个铅1的结构类似物,其中一个类似物显示出更好的结合自由能(ΔGbind=47.58 kcal/mol)。在体外和体内验证后,这种类似物可以进一步用于开发针对Syk相关疾病的有效治疗方法。
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来源期刊
CiteScore
5.20
自引率
20.00%
发文量
78
审稿时长
>24 weeks
期刊介绍: SAR and QSAR in Environmental Research is an international journal welcoming papers on the fundamental and practical aspects of the structure-activity and structure-property relationships in the fields of environmental science, agrochemistry, toxicology, pharmacology and applied chemistry. A unique aspect of the journal is the focus on emerging techniques for the building of SAR and QSAR models in these widely varying fields. The scope of the journal includes, but is not limited to, the topics of topological and physicochemical descriptors, mathematical, statistical and graphical methods for data analysis, computer methods and programs, original applications and comparative studies. In addition to primary scientific papers, the journal contains reviews of books and software and news of conferences. Special issues on topics of current and widespread interest to the SAR and QSAR community will be published from time to time.
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