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Dynamics of protein-drug interactions inferred from structural ensembles and physics-based models

机译:从结构合奏和基于物理的模型推断出蛋白质-药物相互作用的动力学

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摘要

The conformational flexibility of target proteins is a major challenge in understanding and modeling protein-drug interactions. A fundamental issue, yet to be clarified, is whether the observed conformational changes are controlled by the protein, or induced by the inhibitor. While the concept of induced fit has been widely adopted for describing the structural changes that accompany ligand binding, there is growing evidence in support of the dominance of proteins' intrinsic dynamics, which has been evolutionarily optimized to accommodate its functional interactions. The wealth of structural data for target proteins in the presence of different ligands now permits us to make a critical assessment of the balance between these two effects in selecting the bound forms. We focused on three widely studied drug targets, HIV-1 reverse transcriptase, p38 MAP kinase, and cyclin-dependent kinase 2. A total of 292 structures determined for these enzymes in the presence of different inhibitors as well as unbound form permitted us to perform an extensive comparative analysis of the conformational space accessed upon ligand binding, and its relation to the intrinsic dynamics prior to ligand binding as predicted by elastic network model analysis. Further, we analyzed NMR ensembles of ubiquitin and calmodulin representing their microseconds range solution dynamics. Our results show that the ligand selects the conformer that best matches its structural and dynamic properties amongst the conformers intrinsically accessible to the protein in the unliganded form. The results suggest that simple but robust rules encoded in the protein structure play a dominant role in pre-defining the mechanisms of ligand binding, which may be advantageously exploited in designing inhibitors. We apply these lessons to the study of MAP kinase phosphatases (MKPs), which are therapeutically relevant but challenging signaling enzymes. Our study provides insights into the interactions and selectivity of MKP inhibitors and shows how an allosteric inhibition mechanism holds for a recently discovered inhibitor of MKP-3. We also provide evidence for the functional significance of the structure-encoded dynamics of rhodopsin and nicotinic acetylcholine receptor, members of two membrane proteins classes serving as targets for more than 40% of all current FDA approved drugs.
机译:靶蛋白的构象灵活性是理解和建模蛋白-药物相互作用的主要挑战。一个尚待澄清的基本问题是观察到的构象变化是由蛋白质控制还是由抑制剂诱导。虽然诱导适应的概念已被广泛用于描述伴随配体结合的结构变化,但越来越多的证据支持蛋白质内在动力学的优势,该内在动力学已得到进化优化以适应其功能相互作用。现在,在存在不同配体的情况下,目标蛋白的大量结构数据使我们能够在选择结合形式时对这两种作用之间的平衡进行严格评估。我们专注于三个广泛研究的药物靶标,HIV-1逆转录酶,p38 MAP激酶和细胞周期蛋白依赖性激酶2。在存在不同抑制剂和未结合形式的情况下,针对这些酶确定的292个结构使我们能够进行弹性体网络模型分析预测,对配体结合后构象空间的广泛比较分析及其与配体结合前的内在动力学的关系。此外,我们分析了泛素和钙调蛋白的NMR集成体,它们代表了微秒范围内的溶液动力学。我们的结果表明,配体在非配体形式的蛋白质固有可访问的构象异构体中选择与其结构和动力学性质最匹配的构象异构体。结果表明,蛋白质结构中编码的简单但健壮的规则在预定义配体结合机制中起主要作用,这在设计抑制剂时可能会得到有利利用。我们将这些课程应用于MAP激酶磷酸酶(MKPs)的研究,该酶在治疗上具有相关性,但具有挑战性。我们的研究提供了对MKP抑制剂的相互作用和选择性的见解,并展示了变构抑制机制如何保持最近发现的MKP-3抑制剂。我们还提供了视紫红质和烟碱型乙酰胆碱受体的结构编码动力学的功能意义的证据,视紫红质和烟碱乙酰胆碱受体是两种膜蛋白类别的成员,是所有目前FDA批准的药物中40%以上的目标。

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    Bakan Ahmet;

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  • 年度 2010
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