关于分子对接和分子动力学的数据,以向Mycobacterium tuberculosis石基米酸激酶
Hinata Taniguchi1, Shuhei Kawamoto1, Kohei Monobe1
1Department of Bioscience and Bioinformatics, School of Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka 820-8502, Japan.
Data in brief
|April 9, 2024
概括
这项研究使用in silico选和分子动力学分析了Mycobacterium结核病什基米酸激酶. 额外的分析为开发新的结核病治疗方法提供了洞察力.
科学领域:
- 计算化学和药物发现.
- 结构生物学和分子建模.
背景情况:
- 结核病仍然是一个重大的全球健康威胁,需要新的治疗策略.
- 准Mycobacterium结核病石基胺酸激酶是药物开发的一个有希望的途径.
研究的目的:
- 提出新的计算分析,支持先前对Mycobacterium结核病石基胺酸激酶抑制剂的in silico查.
- 为实验药物发现工作和计算生物学研究提供基础.
主要方法:
- 使用UCSF DOCK和GOLD程序对一个大型复合库进行分层的in silico选.
- 在一个有前途的抗微生物化合物上进行了分子动态模拟.
- 溶剂可访问的表面积和主要成分分析 (PCA) 从对接分数和轨迹计算出来.
主要成果:
- 最初的查发现了11种具有潜在抑制活性的化合物.
- 分子动力学模拟提供了对化合物行为和相互作用的见解.
- 额外的分析 (SASA,PCA) 提供了来自对接和模拟轨迹的进一步数据.
结论:
- 提出的数据支持了先前的发现,并为进一步调查提供了基础.
- 这项工作通过识别潜在的药物线索和标来促进寻找新的Mycobacterium结核病治疗方法.
- 鼓励实验验证和探讨药物发现的类似物和抑制剂.
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