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分子模拟鉴定订书肽与 MDM2 和 MDMX 的结合构象和近似亲和力。

Molecular Simulations Identify Binding Poses and Approximate Affinities of Stapled α-Helical Peptides to MDM2 and MDMX.

机构信息

Laufer Center for Physical and Quantitative Biology, Stony Brook University , Stony Brook, New York 11794, United States.

Department of Structural Chemistry, MRL, Merck & Co., Inc. , Kenilworth, New Jersey 07033, United States.

出版信息

J Chem Theory Comput. 2017 Feb 14;13(2):863-869. doi: 10.1021/acs.jctc.6b00978. Epub 2017 Jan 19.

Abstract

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 α-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.

摘要

传统上,通过自由能方法计算蛋白质与相对较小且刚性配体的结合亲和力具有挑战性,因为计算成本高且误差较大。在这里,我们应用一种新的分子模拟加速方法称为 MELD(利用有限数据建模)来研究订书肽与 MDM2 和 MDMX 蛋白的结合。我们采用基于自由能的分子动力学模拟(MELD-MD)来确定结合构象并计算结合亲和力。尽管订书肽比大多数蛋白质配体更大且更复杂,但 MELD-MD 模拟可以识别相关的结合构象并计算相对结合亲和力。MELD-MD 似乎是一种很有前途的方法,可用于计算肽配体与蛋白质的结合特性。

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