类图书馆的虚拟选:使用计算工具寻找基于的治疗方法
Marian Vincenzi1, Flavia Anna Mercurio1, Marilisa Leone1
1Institute of Biostructures and Bioimaging, Via Pietro Castellino 111, 80131 Naples, Italy.
International journal of molecular sciences
|February 10, 2024
概括
体作为治疗药物表现有前途,特别是在针对困难的蛋白质时. 基于结构的虚拟选 (SBVS) 等计算方法有助于有效地发现新的治疗.
科学领域:
- 生物化学 生物化学
- 药理学 药理学是指药理学的学科.
- 计算生物学 计算生物学
背景情况:
- 由于特异性和安全性,人们对作为治疗药物的兴趣日益增加.
- 是蛋白质-蛋白质相互作用的有效调节剂,向以前无法药物治疗的蛋白质.
- 对复杂的生物标而言,类疗法比小分子具有优势.
研究的目的:
- 审查治疗开发中的挑战.
- 描述计算方法,特别是基于结构的虚拟选 (SBVS),用于识别治疗性.
- 突出SBVS在发现各种生物活性中的应用.
主要方法:
- 审查现有的关于治疗和计算查的文献.
- 专注于基于结构的虚拟选 (SBVS) 策略.
- 对各种类SBVS应用的分析.
主要成果:
- 鉴定治疗开发中的挑战.
- 展示SBVS作为一种高效和成本效益的in silico方法.
- 对抗癌症,抗微生物和抗粉胺的SBVS成功应用的例子.
结论:
- 类是有前途的治疗剂,特别是针对蛋白质-蛋白质相互作用.
- 基于结构的虚拟选 (SBVS) 是加速发现新型治疗的关键计算工具.
- SBVS策略适用于一系列治疗性类,包括抗癌和抗菌剂.
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