Computational Biology and Bioinformatics Laboratory, PG Department of Botany, Berhampur University, Berhampur, Odisha760007, India.
Computational Biology and Bioinformatics Laboratory, PG Department of Botany, Berhampur University, Berhampur, Odisha760007, India.
Comput Biol Chem. 2024 Feb;108:108005. doi: 10.1016/j.compbiolchem.2023.108005. Epub 2023 Dec 16.
Dengue fever is a global health concern with no effective therapy. Screening synthetic chemicals, animal-originated compounds, and phytocompounds against Dengue virus (DENV) targets has failed to find dengue antivirals. The current study examines animal drugs as antagonists against NS2B-NS3, one of DENV's most promising therapeutic targets for dengue fever. Antiviral-Lycotoxin-An1a (An1a), a defence antiviral peptide isolated from the venom of Alopecosa nagpag, a toxic spider. Based on prior in vitro research, it was discovered that the venom peptide suppresses the action of DENV-2 NS2B-NS3. An1a peptide with NS2B-NS3 wild type (WT) and two mutants (H51N and S135A) was tested for anti-dengue characteristics using in silico analysis. The WT NS2B-NS3 has a catalytic triad of His51, Asp75, and Ser135 in the active site, but the mutants have N51 instead of His51 and Ala135 instead of Ser135. The dynamic sites of the three proteases (WT, H51N, S135A) and the peptide toxin (An1a) were taken into account to achieve molecular docking of An1a with WT NS2B-NS3 in conjunction with H51N and S135A. Cluspro-2 performs rigid-flexible docking to predict peptide binding affinity, effectiveness, and inhibitory consistency. Since the ligand had a higher binding affinity, docking score, and molecular interaction network, MD simulations and MM-GBSA free energy calculations were used to investigate the stability of the three protein-peptide complexes. The computer-aided screening and manufacture of spider venom-based anti-dengue medicines yielded intriguing results in the preliminary studies. This study is significant in defining the ideal therapeutic candidate against dengue infections.
登革热是一个全球性的健康问题,目前尚无有效的治疗方法。针对登革病毒 (DENV) 靶点筛选合成化学品、动物源性化合物和植物化合物未能发现抗登革热药物。本研究检查了动物药物作为登革热的一个有希望的治疗靶点 NS2B-NS3 的拮抗剂。抗病毒-Lycotoxin-An1a (An1a),是一种从 Alopecosa nagpag 毒蜘蛛毒液中分离出来的防御性抗病毒肽。基于之前的体外研究,发现该毒液肽抑制 DENV-2 NS2B-NS3 的作用。用计算机模拟分析测试了与 NS2B-NS3 野生型 (WT) 和两种突变体 (H51N 和 S135A) 的 An1a 肽的抗登革热特性。WT NS2B-NS3 在活性位点具有组氨酸 51、天冬氨酸 75 和丝氨酸 135 的催化三联体,但突变体的 N51 取代了 His51,Ala135 取代了 Ser135。考虑到三种蛋白酶(WT、H51N、S135A)和肽毒素(An1a)的动态部位,实现了 An1a 与 WT NS2B-NS3 以及 H51N 和 S135A 的分子对接。Cluspro-2 进行刚性-柔性对接,以预测配体结合亲和力、效力和抑制一致性。由于配体具有更高的结合亲和力、对接评分和分子相互作用网络,因此使用 MD 模拟和 MM-GBSA 自由能计算来研究三个蛋白-肽复合物的稳定性。基于蜘蛛毒液的抗登革热药物的计算机辅助筛选和制造在初步研究中产生了有趣的结果。这项研究对于确定针对登革热感染的理想治疗候选物具有重要意义。