Molecular dynamics simulation and docking studies reveals inhibition of NF-kB signaling as a promising therapeutic drug target for reduction in cytokines storms

分子动力学模拟和分子对接研究表明,抑制NF-κB信号通路是减少细胞因子风暴的一种很有前景的治疗药物靶点。

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Abstract

Nuclear factor-kappa B (NF-kB) plays a crucial role in numerous cellular processes, such as inflammation, immunological responses to infection, cell division, apoptosis, and the development of embryos and neurons. Cytokines, plays an important role in positive feedback loop and leads to inflammatory cell death through the release of pathogenic cytokine known to be cytokine storm which causes diseases like Acute Respiratory Disorder (ARD), multi-organ disorder, Hyperinflammation syndrome and may cause death. This cytochrome storm was identified in the people severely affected by covid-19. NF-kB presents a promising therapeutic opportunity to mitigate covid-19-induced cytokine storm and reduce the risk of severe morbidity and mortality resulting from the diseases. This paper therefore explores the modulation of the NF-kB pathway by inhibiting the binding of the transcription factor as a potential strategy to mitigate the morbidity and mortality caused by cytokine storms. To identify small molecule inhibitors of NF-kB signaling, we screened approximately 101 molecules in two identified pockets of NF-kB (p50/p65)-DNA complex. Each molecule was virtually screened in two pockets (A1 and A2). The focus library was developed starting from chemical structures obtained from the literature (Angelicin and Psolaren) which shows the inhibition of NF-kB signaling, as well as using artificial intelligence (WADDAICA) and rationally designed molecules. Among the 3 highest-scored ligands (NFAI64, NF30 and NF49) selected from the docking studies and further molecular dynamic investigations. The identified compound NF30 showed significantly higher binding affinity (ΔG(binding)) in A2 pocket (60.92 ± 1.83 kJ/mol) as compared to the rest of the molecules, making it a promising molecule for the inhibition of NF-kB. The discovered novel compounds by computational studies could be of relevance to identify more potent inhibitors of NF-kB dependent biological functions beneficial to control the cytokine storm occurring in the patients affected with Covid-19.

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