Drug repurposing through Biophysical Insights: Focus on Indoleamine 2,3-Dioxygenase and Tryptophan 2,3-Dioxygenase Dual Inhibitors.

IF 2.5 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Cell Biochemistry and Biophysics Pub Date : 2025-09-01 Epub Date: 2025-03-26 DOI:10.1007/s12013-025-01725-2
Priyanga Paranthaman, Ramanathan Karuppasamy, Shanthi Veerappapillai
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Abstract

The kynurenine pathway (KP) plays a pivotal role in dampening the immune response in many types of cancer, including TNBC. The intricate involvement of tryptophan degradation via KP serves as a critical regulator in mediating immunosuppression in the tumor microenvironment. The key enzymes that facilitate this mechanism and contribute to tumor progression are indoleamine 2,3-dioxygenase (IDO1) and tryptophan 2,3-dioxygenase (TDO). Despite attempts to use navoximod as a dual-specific inhibitor, its poor bioavailability and lack of clinical efficacy have hampered its utility. To date, no FDA-approved drugs have advanced for dual targeting of these enzymes. Therefore, this study aimed to repurpose the approved drugs from the DrugBank database as novel IDO1/TDO inhibitors. Initially, 2588 FDA-approved compounds were screened by employing molecular docking and pharmacokinetic profiling. Subsequently, methods such as MM-GBSA calculations and machine learning based analysis precisely identified 20 potential lead compounds. The resultant compounds were then assessed for various toxicity endpoints and anticancer activity. The PaccMann server revealed potent anticancer activity, with sensitivities ranging from 0.203 to 24.119 μM against MDA-MB-231 TNBC cell lines. Alongside, the interaction profile with critical residues, strongly reinforced DB06292 (Dapagliflozin) as a compelling hit candidate. Finally, the reliability of the result was corroborated through a rigorous 200 ns molecular dynamics simulation, ensuring the stable binding of the hit against the target proteins. Considering the promising outcomes, we speculate that the proposed hit compound holds strong potential for the management of TNBC.

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通过生物物理见解的药物再利用:专注于吲哚胺2,3-双加氧酶和色氨酸2,3-双加氧酶双重抑制剂。
犬尿氨酸途径(KP)在抑制包括TNBC在内的许多类型癌症的免疫反应中起着关键作用。通过KP的复杂参与色氨酸降解在肿瘤微环境中作为介导免疫抑制的关键调节因子。促进这一机制并促进肿瘤进展的关键酶是吲哚胺2,3-双加氧酶(IDO1)和色氨酸2,3-双加氧酶(TDO)。尽管尝试使用纳伏昔莫特作为双特异性抑制剂,但其生物利用度差和缺乏临床疗效阻碍了其应用。到目前为止,fda批准的药物中还没有针对这些酶的双重靶向药物。因此,本研究旨在将DrugBank数据库中已批准的药物重新用作新型IDO1/TDO抑制剂。最初,通过分子对接和药代动力学分析筛选了2588种fda批准的化合物。随后,MM-GBSA计算和基于机器学习的分析等方法精确地确定了20种潜在的先导化合物。然后评估所得化合物的各种毒性终点和抗癌活性。PaccMann服务器显示出强大的抗癌活性,对MDA-MB-231 TNBC细胞系的敏感性范围为0.203 ~ 24.119 μM。此外,与关键残基的相互作用谱,强烈增强了DB06292 (Dapagliflozin)作为一个令人信服的候选药物。最后,通过严格的200 ns分子动力学模拟验证了结果的可靠性,确保了hit与靶蛋白的稳定结合。考虑到这些有希望的结果,我们推测所提出的hit化合物在TNBC的管理中具有很强的潜力。
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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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