遇见数据集

Dataset The MLL1 trimeric catalytic complex is a dynamic conformational ensemble stabilized by multiple weak interactions and is susceptible to pharmacological disruption

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Zenodo2020-07-29 更新2026-05-25 收录
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This dataset is related to <strong>"</strong>MLL1 minimal catalytic complex is a dynamic conformational ensemble susceptible to pharmacological allosteric disruption<strong>" </strong>(Lilia Kaustov, Alexander Lemak, Hong Wu, Marco Faini, Lixin Fan, Xianyang Fang, Hong Zeng, Shili Duan, Abdellah Allali-Hassani, Yong Wei, Masoud Vedadi, Ruedi Aebersold, Yunxing Wang, Scott Houliston, Cheryl H. Arrowsmith) . The repository contains the data used in the modeling of WDR5-RbBP5-MLL1 trimeric complex, the optimal ensemble of models, and the representative models for major and minor populations. The modeling is performed based on saxs and cross-link MS data, crystallographic structures, and comparative models using coarse-grained MD simulations and Sparse Ensemble Selection method (SES) for optimal ensemble selection.

本数据集与学术论文《MLL1最小催化复合物是一类可被药理学变构干扰的动态构象集合体》(作者:Lilia Kaustov、Alexander Lemak、Hong Wu、Marco Faini、Lixin Fan、Xianyang Fang、Hong Zeng、Shili Duan、Abdellah Allali-Hassani、Yong Wei、Masoud Vedadi、Ruedi Aebersold、Yunxing Wang、Scott Houliston、Cheryl H. Arrowsmith)相关。 该数据集存储库包含用于WDR5-RbBP5-MLL1三聚体复合物建模的相关数据、最优模型集合,以及对应主要构象种群与次要构象种群的代表性模型。本次建模基于小角X射线散射(Small Angle X-ray Scattering, SAXS)数据、交联质谱(cross-link MS)数据、晶体结构,以及通过粗粒度分子动力学(coarse-grained MD, CG-MD)模拟与稀疏集合选择(Sparse Ensemble Selection, SES)方法筛选最优模型集合所得到的比较模型。

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Zenodo
创建时间:
2019-03-19
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