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Biophys J. 2022 Mar 15;121(6):991-1012. doi: 10.1016/j.bpj.2022.02.008. Epub 2022 Feb 10.
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Highly accurate protein structure prediction with AlphaFold.利用 AlphaFold 进行高精度蛋白质结构预测。
Nature. 2021 Aug;596(7873):583-589. doi: 10.1038/s41586-021-03819-2. Epub 2021 Jul 15.
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FilterDCA: Interpretable supervised contact prediction using inter-domain coevolution.FilterDCA:基于域间共进化的可解释监督接触预测
PLoS Comput Biol. 2020 Oct 9;16(10):e1007621. doi: 10.1371/journal.pcbi.1007621. eCollection 2020 Oct.
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Scalable molecular dynamics on CPU and GPU architectures with NAMD.使用 NAMD 在 CPU 和 GPU 架构上进行可扩展的分子动力学。
J Chem Phys. 2020 Jul 28;153(4):044130. doi: 10.1063/5.0014475.
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Protein interaction networks revealed by proteome coevolution.蛋白质组共进化揭示的蛋白质相互作用网络。
Science. 2019 Jul 12;365(6449):185-189. doi: 10.1126/science.aaw6718. Epub 2019 Jul 11.
6
E-cadherin binds to desmoglein to facilitate desmosome assembly.E-钙黏蛋白与桥粒芯糖蛋白结合,以促进桥粒的组装。
Elife. 2018 Jul 12;7:e37629. doi: 10.7554/eLife.37629.
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gRINN: a tool for calculation of residue interaction energies and protein energy network analysis of molecular dynamics simulations.GRINN:一种用于计算残基相互作用能和分子动力学模拟的蛋白质能量网络分析的工具。
Nucleic Acids Res. 2018 Jul 2;46(W1):W554-W562. doi: 10.1093/nar/gky381.
8
DynaMut: predicting the impact of mutations on protein conformation, flexibility and stability.DynaMut:预测突变对蛋白质构象、灵活性和稳定性的影响。
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9
Cadherin-mediated cell-cell interactions in normal and cancer cells.正常细胞和癌细胞中钙黏蛋白介导的细胞间相互作用。
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10
Big-data approaches to protein structure prediction.用于蛋白质结构预测的大数据方法。
Science. 2017 Jan 20;355(6322):248-249. doi: 10.1126/science.aal4512.

表征 E-钙黏蛋白组装体中的相互作用。

Characterizing interactions in E-cadherin assemblages.

机构信息

Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, Iowa.

Department of Biomedical Engineering, University of California, Davis, Davis, California.

出版信息

Biophys J. 2023 Aug 8;122(15):3069-3077. doi: 10.1016/j.bpj.2023.06.009. Epub 2023 Jun 21.

DOI:10.1016/j.bpj.2023.06.009
PMID:37345249
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10432173/
Abstract

Cadherin intermolecular interactions are critical for cell-cell adhesion and play essential roles in tissue formation and the maintenance of tissue structures. In this study, we focus on E-cadherin, a classical cadherin that connects epithelial cells, to understand how they interact in cis and trans conformations when attached to the same cell or opposing cells. We employ coevolutionary sequence analysis and molecular dynamics simulations to confirm previously known interaction sites as well as to identify new interaction sites. The sequence coevolutionary results yield a surprising result indicating that there are no strongly favored intermolecular interaction sites, which is unusual and suggests that many interaction sites may be possible, with none being strongly preferred over others. By using molecular dynamics, we test the persistence of these interactions and how they facilitate adhesion. We build several types of cadherin assemblages, with different numbers and combinations of cis and trans interfaces to understand how these conformations act to facilitate adhesion. Our results suggest that, in addition to the established interaction sites on the EC1 and EC2 domains, an additional plausible cis interface at the EC3-EC5 domain exists. Furthermore, we identify specific mutations at cis/trans binding sites that impair adhesion within E-cadherin assemblages.

摘要

钙黏蛋白分子间相互作用对于细胞-细胞黏附至关重要,并在组织形成和组织结构维持中发挥重要作用。在本研究中,我们专注于经典的钙黏蛋白 E-cadherin,它连接上皮细胞,以了解当附着在同一细胞或相反的细胞上时,它们在顺式和反式构象中如何相互作用。我们采用共进化序列分析和分子动力学模拟来确认先前已知的相互作用位点,并识别新的相互作用位点。序列共进化分析的结果出人意料地表明,不存在强烈偏好的分子间相互作用位点,这是不寻常的,表明可能存在许多相互作用位点,彼此之间没有强烈的偏好。通过使用分子动力学,我们测试了这些相互作用的持久性以及它们如何促进黏附。我们构建了几种类型的钙黏蛋白组装体,具有不同数量和组合的顺式和反式界面,以了解这些构象如何促进黏附。我们的结果表明,除了 EC1 和 EC2 结构域上已建立的相互作用位点外,EC3-EC5 结构域上还存在一个额外的可能的顺式界面。此外,我们确定了在顺式/反式结合位点的特定突变,这些突变会损害 E-cadherin 组装体中的黏附。