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通过原子模拟和马尔可夫模型探索蛋白质构象的可塑性和复杂配体结合的动力学。

Protein conformational plasticity and complex ligand-binding kinetics explored by atomistic simulations and Markov models.

机构信息

Department of Mathematics, Computer Science and Bioinformatics, Free University Berlin, Arnimallee 6, 14195 Berlin, Germany.

出版信息

Nat Commun. 2015 Jul 2;6:7653. doi: 10.1038/ncomms8653.

Abstract

Understanding the structural mechanisms of protein-ligand binding and their dependence on protein sequence and conformation is of fundamental importance for biomedical research. Here we investigate the interplay of conformational change and ligand-binding kinetics for the serine protease Trypsin and its competitive inhibitor Benzamidine with an extensive set of 150 μs molecular dynamics simulation data, analysed using a Markov state model. Seven metastable conformations with different binding pocket structures are found that interconvert at timescales of tens of microseconds. These conformations differ in their substrate-binding affinities and binding/dissociation rates. For each metastable state, corresponding solved structures of Trypsin mutants or similar serine proteases are contained in the protein data bank. Thus, our wild-type simulations explore a space of conformations that can be individually stabilized by adding ligands or making suitable changes in protein sequence. These findings provide direct evidence of conformational plasticity in receptors.

摘要

理解蛋白质-配体结合的结构机制及其对蛋白质序列和构象的依赖性,对于生物医学研究至关重要。在这里,我们使用广泛的 150μs 分子动力学模拟数据,通过马科夫状态模型进行分析,研究了丝氨酸蛋白酶胰蛋白酶及其竞争性抑制剂苯甲脒的构象变化和配体结合动力学之间的相互作用。我们发现了七种具有不同结合口袋结构的亚稳态构象,它们在数十微秒的时间尺度上相互转换。这些构象在底物结合亲和力和结合/解离速率上有所不同。对于每个亚稳态状态,相应的含有胰蛋白酶突变体或类似丝氨酸蛋白酶的已解决结构都包含在蛋白质数据库中。因此,我们的野生型模拟探索了一个可以通过添加配体或在蛋白质序列中进行适当改变来单独稳定的构象空间。这些发现为受体的构象可塑性提供了直接证据。

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