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首页> 外文期刊>Journal of chemical theory and computation: JCTC >Molecular Simulations Identify Binding Poses and Approximate Affinities of Stapled alpha-Helical Peptides to MDM2 and MDMX
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Molecular Simulations Identify Binding Poses and Approximate Affinities of Stapled alpha-Helical Peptides to MDM2 and MDMX

机译:分子模拟鉴定甜食α-螺旋肽对MDM2和MDMX的结合姿势和近似亲和力

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摘要

Traditionally, computing the binding affinities of proteins to even relatively small and rigid ligands by free-energy methods has been challenging due to large computational costs and significant errors. Here, we apply a new molecular simulation acceleration method called MELD (Modeling by Employing Limited Data) to study the binding of stapled alpha-helical peptides to the MDM2 and MDMX proteins. We employ free-energy based molecular dynamics simulations (MELD-MD) to identify binding poses and calculate binding affinities. Even though stapled peptides are larger and more complex than most protein ligands, the MELD-MD simulations can identify relevant binding poses and compute relative binding affinities. MELD-MD appears to be a promising method for computing the binding properties of peptide ligands with proteins.
机译:传统上,通过自由能方法计算蛋白质与甚至相对较小的和刚性配体的结合亲和力由于大量的计算成本和显着的错误而挑战。 这里,我们应用一种新的分子模拟加速方法,称为MELD(通过采用有限数据建模)来研究甜食α-螺旋肽与MDM2和MDMX蛋白的结合。 我们采用自由能基于能量的分子动力学模拟(MERD-MD)来鉴定结合姿势并计算结合亲和力。 尽管甜食肽比大多数蛋白质配体更大且更复杂,但MELD-MD仿真也可以识别相关的结合姿势并计算相对结合亲和力。 MELD-MD似乎是用于计算用蛋白质的肽配体的结合特性的有希望的方法。

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