Network pharmacology-integrated molecular modeling analysis of Aquilaria malaccensis L. (agarwood) essential oil phytocompounds.

In silico pharmacology Pub Date : 2024-12-24 eCollection Date: 2025-01-01 DOI:10.1007/s40203-024-00289-y
Prajisha Jayaprakash, Twahira Begum, Mohan Lal
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Abstract

A network pharmacology approach was used to construct comprehensive pharmacological networks, elucidating the interactions between agarwood compounds and key biological targets associated with cancer pathways. We have employed a combination of network pharmacology, molecular docking and molecular dynamics to unravel agarwood plants' active components and potential mechanisms. Reported 23 molecules were collected from the agarwood plants and considered to identify molecular targets. Further, we identified ten potent targets related to cancer through network pharmacology analysis. The key targets include EGFR, JUN, TP53, SRC, MAPK3, ACTB, GAPDH, AKT1, MYC and CTNNB1. The biological processes include the negative regulation of fibroblast proliferation, metabolic, oxidative, and more. Subsequently, molecular docking results have indicated that 7-isopropenyl-1, 4a-dimethyl-4, 4a, 5,6,7,8-hexahydro-3 H-naphthalen-2-one showed an excellent binding affinity for all ten targets. This is the first study; we employed a novel integrated approach that combines network pharmacology, molecular docking and molecular dynamics simulation (MDS). The GO and KEGG, pathway enrichment analyses, shed light on biological processes relevant to cancer treatment. Moreover, molecular docking studies results indicated that the molecule 7-isopropenyl-1,4a-dimethyl-4,4a,5,6,7,8-hexahydro-3H-naphthalen-2-one exhibited strong binding affinity among all ten cancer targets, with a docking score ranging from - 9.9 to - 6.7 kcal/mol and found to have hydrogen bond interaction with Lys168, Ser322, Thr336 and Ala946 residues. MDS sheds light on the stability of their binding, the longevity of their interactions, and their overall effect on the enzyme's active site throughout the simulation. The current work signifies the initial report using bioinformatics approaches to assess the anticancer properties of compounds derived from the agarwood plant.

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Aquilaria malaccensis L.(沉香)精油植物化合物的网络药理学集成分子模型分析。
利用网络药理学方法构建全面的药理学网络,阐明沉香化合物与癌症通路相关的关键生物学靶点之间的相互作用。我们采用网络药理学、分子对接和分子动力学相结合的方法来揭示沉香植物的有效成分和潜在机制。从沉香植物中收集了23个分子,并进行了分子靶标鉴定。此外,我们通过网络药理学分析确定了10个与癌症相关的有效靶点。关键靶点包括EGFR、JUN、TP53、SRC、MAPK3、ACTB、GAPDH、AKT1、MYC和CTNNB1。其生物学过程包括负调控成纤维细胞增殖、代谢、氧化等。随后,分子对接结果表明,7 -异丙烯- 1,4 -二甲基- 4,4a, 5,6,7,8-六氢-3 h -萘-2- 1对所有10个靶点都具有良好的结合亲和力。这是第一项研究;我们采用了一种结合网络药理学、分子对接和分子动力学模拟(MDS)的新型集成方法。GO和KEGG,途径富集分析,揭示了与癌症治疗相关的生物过程。此外,分子对接研究结果表明,分子7-异丙烯-1,4 -二甲基-4,4a,5,6,7,8-六氢- 3h -萘-2- 1与所有10个癌症靶点均表现出较强的结合亲和力,对接评分范围为- 9.9 ~ - 6.7 kcal/mol,与Lys168、Ser322、Thr336和Ala946残基存在氢键相互作用。MDS揭示了它们结合的稳定性,它们相互作用的寿命,以及它们在整个模拟过程中对酶活性位点的总体影响。目前的工作标志着使用生物信息学方法评估沉香植物衍生化合物抗癌特性的初步报告。
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