抗精神病药物对癌症治疗血管生成途径靶点的再利用:一种计算机方法。

Q3 Pharmacology, Toxicology and Pharmaceutics Current drug discovery technologies Pub Date : 2023-01-01 DOI:10.2174/1570163820666230606113158
Rahmon Kanmodi, Habeeb Bankole, Regina Oddiri, Michael Arowosegbe, Ridwan Alabi, Saheed Rahmon, Oladejo Ahmodu, Bilal AbdulRasheed, Rauf Muritala
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引用次数: 0

摘要

背景:抗精神病药物几乎干扰癌症的所有特征,包括血管生成。血管内皮生长因子受体(VEGFR)和血小板衍生生长受体(PDGFRs)在血管生成中起着至关重要的作用,是许多抗癌药物的靶点。我们评估并比较了抗精神病药物和受体酪氨酸激酶抑制剂(RTKIs)对VEGFR2和PDGFRα的结合作用。VEGFR2和PDGFRα结构从蛋白质数据库获得,并加载在Biovia Discovery Studio软件上以去除非标准分子。使用PyRx和CBDock进行分子对接以确定蛋白质-配体复合物的结合亲和力。结果:与其他抗精神病药物和RTKIs相比,利培酮对PDGFRα的结合作用最高(-11.0 Kcal/mol)。利培酮对VEGFR2(-9.6千卡/摩尔)的结合作用也强于RTKIs、帕唑帕尼(-8.7千卡/mol)、阿西替尼(-9.3千卡/ol)、万德他尼(-8.3千卡-mol)、乐伐替尼(-7.6千卡-摩尔)和舒尼替尼(-8.3-千卡/莫尔)。然而,索拉非尼(一种RTKI)表现出最高的VEGFR2结合亲和力,为-11.7Kcal/mol。结论:与所有参考RTKI和抗精神病药物相比,利培酮与PDGFRα的结合亲和力更高,并且其对VEGFR2的结合作用强于RTKI、舒尼替尼、帕唑帕尼、阿西替尼、凡达替尼和乐伐替尼,意味着它可以被重新用于抑制血管生成途径,并进行癌症治疗的临床前和临床试验。
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Repurposing Antipsychotic Agents Against Targets of Angiogenesis Pathways for Cancer Therapy: An in-silico Approach.

Background: Antipsychotics interfere with virtually all hallmarks of cancer, including angiogenesis. Vascular endothelial growth factor receptors (VEGFRs) and platelet-derived growth receptors (PDGFRs) play crucial roles in angiogenesis and represent targets of many anti-cancer agents. We assessed and compared the binding effects of antipsychotics and receptor tyrosine kinase inhibitors (RTKIs) on VEGFR2 and PDGFRα.

Methods: FDA-approved antipsychotics and RTKIs were retrieved from DrugBank. VEGFR2 and PDGFRα structures were obtained from Protein Data Bank and loaded on Biovia Discovery Studio software to remove nonstandard molecules. Molecular docking was carried out using PyRx and CBDock to determine the binding affinities of protein-ligand complexes.

Results: Risperidone exerted the highest binding effect on PDGFRα (-11.0 Kcal/mol) as compared to other antipsychotic drugs and RTKIs. Risperidone also demonstrated a stronger binding effect on VEGFR2 (-9.6 Kcal/mol) than the RTKIs, pazopanib (-8.7 Kcal/mol), axitinib (-9.3 Kcal/mol), vandetanib (-8.3 Kcal/mol), lenvatinib ( -7.6 Kcal/mol) and sunitinib (-8.3 Kcal/mol). Sorafenib (an RTKI), however, exhibited the highest VEGFR2 binding affinity of -11.7 Kcal/mol.

Conclusion: Risperidone's superior binding affinity with PDGFRα when compared to all reference RTKIs and antipsychotic drugs, as well as its stronger binding effect on VEGFR2 over the RTKIs, sunitinib, pazopanib, axitinib, vandetanib, and lenvatinib, imply that it could be repurposed to inhibit angiogenic pathways and subjected to pre-clinical and clinical trials for cancer therapy.

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来源期刊
Current drug discovery technologies
Current drug discovery technologies Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
CiteScore
3.70
自引率
0.00%
发文量
48
期刊介绍: Due to the plethora of new approaches being used in modern drug discovery by the pharmaceutical industry, Current Drug Discovery Technologies has been established to provide comprehensive overviews of all the major modern techniques and technologies used in drug design and discovery. The journal is the forum for publishing both original research papers and reviews describing novel approaches and cutting edge technologies used in all stages of drug discovery. The journal addresses the multidimensional challenges of drug discovery science including integration issues of the drug discovery process.
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