Langeswaran K, Jeyaraman Jeyakanthan, R Jegannath Babu, Biswas Abir, Dhurgadevi K R
a Bioinformatics, Alagappa University , Karaikudi , India.
b Bharathidasan University , Tiruchirappalli , India.
J Recept Signal Transduct Res. 2019 Apr;39(2):99-105. doi: 10.1080/10799893.2019.1620776. Epub 2019 Jul 8.
Alzheimer's is a neural disorder causing gradual loss in structure and function of nerve cell. To treat such disorders, c-Jun N-terminal Kinase (JNK) Pathway inhibitors were developed by representing chemical compounds that were used to inhibit the JNK signaling pathways. DLK is the stress sensor and implicating as regulatory factor in JNK pathway. Therefore, in the present investigation, pharmacophore screening was tried to identify the chemical compounds that involving inhibition of DLK proteins. To explore the pharmacophore region and mode of binding with DLK protein, N- (I H-pyrazol-3-y l) pyridin-2-aminer inhibitors were docked with DLK. Results reveal the information on the interaction mechanism of protein and ligand with chemical characteristics required to inhibit DLK protein. Such predicted information (AAAARH) was used as query to find out potential novel lead compounds sourced from public database. As an outcome of 65 compounds were listed based on the fitness score (2≥), and were subjected to glide HTVS.SP and XP. Best performing 5 lead compounds were shortlisted for dynamic simulations. This exhibited a constant RMSD over 20 ns of timescale.
阿尔茨海默病是一种神经紊乱疾病,会导致神经细胞的结构和功能逐渐丧失。为了治疗此类疾病,通过呈现用于抑制JNK信号通路的化合物,开发了c-Jun氨基末端激酶(JNK)通路抑制剂。DLK是应激传感器,在JNK通路中作为调节因子发挥作用。因此,在本研究中,尝试进行药效团筛选以鉴定涉及抑制DLK蛋白的化合物。为了探索药效团区域以及与DLK蛋白的结合模式,将N-(1H-吡唑-3-基)吡啶-2-胺抑制剂与DLK进行对接。结果揭示了蛋白质与配体相互作用机制以及抑制DLK蛋白所需的化学特征信息。此类预测信息(AAAARH)被用作查询条件,以从公共数据库中找出潜在的新型先导化合物。作为结果,根据适合度得分(≥2)筛选出65种化合物,并对其进行Glide HTVS.SP和XP分析。挑选出表现最佳的5种先导化合物进行动态模拟。在20纳秒的时间尺度上,这5种化合物均表现出恒定的均方根偏差(RMSD)。