在中研究天然产品和衍生品对抗不同类型的癌症
Alex France Messias Monteiro1,2, Fábia Martins da Silva2, Teresa Carolliny Moreira Lustoza Rodrigues1
1Postgraduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraíba, Joao Pessoa-PB.
像in silico分析这样的计算方法正在加速针对各种癌症的新抗癌药物的发现. 本综述强调了开发新型抗瘤剂和理解药物受体相互作用的计算技术.
科学领域:
- 计算化学和药物发现
- 瘤学和制药研究.
背景情况:
- 癌症是全球主要的死亡原因,晚诊导致死亡率增加.
- 有效的癌症治疗依赖于早期检测和开发新型治疗剂.
- 世界卫生组织 (WHO) 指出,癌症是全球第二大死亡原因.
研究的目的:
- 审查关于in silico分析的科学文献,以提出新的抗瘤剂.
- 探索用于质母细胞瘤,乳腺癌,结肠癌,前列腺癌和肺癌的药物发现的计算技术.
- 突出分子对接和动态在识别药物受体相互作用中的作用.
主要方法:
- 研究文章的文献综述,重点是药物发现中的计算技术.
- 分析详细介绍体方法,分子对接模拟和分子动力学的研究.
- 3D化学结构和分子与蛋白质数据库 (PDB) 受体之间的相互作用的展示.
主要成果:
- 确定了有助于开发新的或现有的抗癌药物的计算技术.
- 突出了从精选的科学研究中得出的关键发现,方法和结论.
- 介绍了分子结构和相互作用,证明了显著的计算反应.
结论:
- 在分析是提出新抗癌剂的有价值的工具.
- 计算方法可以加速药物发现和推进制药研究.
- 本次审查旨在支持未来的研究,开发新的抗瘤药物并增强科学知识.
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