Computational approach for the evaluation of sesquiterpene lactone as a modulator of cannabinoid receptor type 2 for neurodegenerative disease prophylactics.

IF 3.9 2区 化学 Q2 CHEMISTRY, APPLIED
Ram Lal Swagat Shrestha, Ashika Tamang, Sujan Dhital, Nirmal Parajuli, Manila Poudel, Safal Adhikari, Shiva M C, Aakar Shrestha, Timila Shrestha, Samjhana Bharati, Binita Maharjan, Bishnu P Marasini, Jhashanath Adhikari Subin
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Abstract

Neurodegenerative diseases represent a major global health challenge, with cannabinoid receptor type 2 (CB2) emerging as a promising therapeutic target for its role in inflammation modulation and neuroprotection. Sesquiterpene lactone is a class of natural compounds with diverse molecular structures and known biological activities. This study aimed to explore sesquiterpene lactones for their potential as CB2 modulators using computational approaches such as molecular docking, molecular dynamics simulations (MDS), and ADMET predictions, to identify the promising candidates for neurodegenerative disease prophylactics. Out of 85 sesquiterpene lactones evaluated, podachaenin (PubChem CID: 15,828,229) exhibited the highest binding affinity to CB2 (- 12.242 kcal/mol), outperforming that of the native ligand (- 12.168 kcal/mol) and reference drugs apomorphine (- 9.482 kcal/mol), dantrolene (- 8.861 kcal/mol), and galantamine (- 9.689 kcal/mol). Hydrogen bonds as well as alkyl, Pi-alkyl, and van der Waal's interactions were present in the CB2-podachaenin complex providing structural intactness. MDS of 500 ns evaluated the stability of the protein-ligand complex and receptor structure in apo form through geometrical parameters: root mean square deviation, root mean square fluctuation, radius of gyration, solvent accessible surface area, and hydrogen bond length. Additionally, the binding free energy change calculation supplemented the initial inferences in terms of thermodynamic stability with a value of - 40.92 ± 4.56 kcal/mol. ADMET profiling also indicated favorable pharmacokinetic and pharmacodynamic properties, similar to that of the reference drugs. The preliminary results identified podachaenin as a possible CB2 modulator for treating neurodegenerative diseases and could be a hit compound in neuro-drug design. Further in vivo and in vitro studies are suggested to validate it as a hit candidate.

评估倍半萜内酯作为大麻素受体2型调节剂用于神经退行性疾病预防的计算方法。
神经退行性疾病是一项重大的全球健康挑战,大麻素受体2型(CB2)因其在炎症调节和神经保护中的作用而成为一种有希望的治疗靶点。倍半萜内酯是一类具有多种分子结构和已知生物活性的天然化合物。本研究旨在利用分子对接、分子动力学模拟(MDS)和ADMET预测等计算方法探索倍半萜内酯作为CB2调节剂的潜力,以确定有希望预防神经退行性疾病的候选药物。在85种倍半萜内酯中,豆荚素(PubChem CID: 15,828,229)与CB2的结合亲和力最高(- 12.242 kcal/mol),优于天然配体(- 12.168 kcal/mol)和参比药物阿波啡(- 9.482 kcal/mol)、丹曲林(- 8.861 kcal/mol)和加兰他明(- 9.689 kcal/mol)。氢键以及烷基、pi -烷基和范德瓦尔相互作用存在于cb2 - poachaenin复合物中,保证了结构的完整性。500 ns的MDS通过几何参数:均方根偏差、均方根波动、旋转半径、溶剂可及表面积和氢键长度来评价载子形式的蛋白质-配体复合物和受体结构的稳定性。结合自由能变化的计算结果为- 40.92±4.56 kcal/mol,补充了热力学稳定性方面的初步推断。ADMET分析也显示出良好的药代动力学和药效学特性,与参比药物相似。初步结果表明,豆瓣豆素可能是治疗神经退行性疾病的CB2调节剂,并可能成为神经药物设计中的重要化合物。建议进一步的体内和体外研究来验证其作为热门候选药物。
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来源期刊
Molecular Diversity
Molecular Diversity 化学-化学综合
CiteScore
7.30
自引率
7.90%
发文量
219
审稿时长
2.7 months
期刊介绍: Molecular Diversity is a new publication forum for the rapid publication of refereed papers dedicated to describing the development, application and theory of molecular diversity and combinatorial chemistry in basic and applied research and drug discovery. The journal publishes both short and full papers, perspectives, news and reviews dealing with all aspects of the generation of molecular diversity, application of diversity for screening against alternative targets of all types (biological, biophysical, technological), analysis of results obtained and their application in various scientific disciplines/approaches including: combinatorial chemistry and parallel synthesis; small molecule libraries; microwave synthesis; flow synthesis; fluorous synthesis; diversity oriented synthesis (DOS); nanoreactors; click chemistry; multiplex technologies; fragment- and ligand-based design; structure/function/SAR; computational chemistry and molecular design; chemoinformatics; screening techniques and screening interfaces; analytical and purification methods; robotics, automation and miniaturization; targeted libraries; display libraries; peptides and peptoids; proteins; oligonucleotides; carbohydrates; natural diversity; new methods of library formulation and deconvolution; directed evolution, origin of life and recombination; search techniques, landscapes, random chemistry and more;
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