一个突变诱导的耐药性数据库 (MdrDB)

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概括

一个新的数据库,MdrDB,整合了各种药物耐药性数据,包括突变和蛋白质结构. 这个资源显著改善了机器学习模型,用于预测由突变引起的药物疗效变化.

科学领域:

生物化学生物化学
计算生物学计算生物学
药理学药理学是指药理学的学科.

背景情况:

突变诱导的耐药性构成了重大的临床挑战,由于蛋白质结构的变化,降低了药物的疗效.
了解突变对蛋白质 - 配体结合亲缘关系的影响对于开发新药和新疗法至关重要.
现有研究受到缺乏大规模,高质量的药物耐药性数据数据库的阻碍.

研究的目的:

开发MdrDB,这是同类最大的综合数据库,以解决目前耐药性研究的局限性.
通过整合有关药物敏感性和细胞系突变的信息来扩大现有的耐药性数据.
为研究突变诱导的耐药性提供一个全面的资源.

主要方法:

综合了来自七个公开可用的数据集的数据,包括癌症药物敏感性基因组学和Dep.Map.
编译的MdrDB包含100,537个样本,240个蛋白质,5119个PDB结构,2503个突变和440种药物.
包括野生类型的3D结构和突变蛋白质-连接体复合体,结合亲和力变化 (ΔΔG),以及每个样本的生物化学特征.

主要成果:

MdrDB是最大的突变诱导药物耐药性的综合数据库.
该数据库显著扩展了有关药物敏感性和细胞系突变的现有数据.
实验结果显示,MdrDB提高了机器学习模型在预测 ΔΔG 的性能.

结论:

MdrDB是一个全面的资源,促进了对突变诱导的耐药性的理解.
数据库可以加速新型治疗化学品的发现.
MdrDB促进了对影响药物疗效的蛋白质结构变化的研究.

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