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Mesoscale simulations of curvature-inducing protein partitioning on lipid bilayer membranes in the presence of mean curvature fields

机译:在平均曲率场存在下脂质双层膜上曲率诱导蛋白分配的中尺度模拟

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The membrane-surface migration of curvature-inducing proteins in response to membrane curvature gradients has been investigated using Monte Carlo simulations of a curvilinear membrane model based on the Helfrich Hamiltonian. Consistent with theoretical and experimental data, we find the proteins that generate curvature can also sense the background membrane curvature, wherein they preferentially partition to the high curvature regions. The partitioning strength depends linearly on local membrane curvature and the slope (or the coupling constant) of the partitioning probability versus mean curvature depends on the membrane bending rigidity and instantaneous curvature field caused by different proteins. Our simulation study allows us to quantitatively characterize and identify the important factors affecting the coupling constant (slope), which may be difficult to determine in experiments. Furthermore, the membrane model is used to study budding of vesicles where it is found that in order to stabilize a mature vesicle with a stable ‘neck-region’ (or stable membrane overhangs), the area (extent) of the intrinsic curvature region needs to exceed a threshold-critical value. The migration and partitioning of curvature-inducing proteins in a budding vesicle with a stable neck (with a characteristic negative value of the Gaussian curvature) is investigated.View full textDownload full textKeywordsMonte Carlo simulations, Helfrich Hamiltonian, curvilinear model, curvature inducing proteins, clathrin-mediated endocytosis (CME), epsin N-terminal homology (ENTH) domain proteins, Bin Amphysin Rvs (BAR) domain proteinsRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/00268976.2012.664661
机译:已经使用基于Helfrich Hamiltonian的曲线膜模型的蒙特卡罗模拟研究了曲率诱导蛋白响应于膜曲率梯度的膜表面迁移。与理论和实验数据一致,我们发现产生曲率的蛋白质也可以感知背景膜曲率,其中它们优先分配到高曲率区域。分配强度线性地取决于局部膜曲率,并且分配概率与平均曲率的斜率(或耦合常数)取决于由不同蛋白质引起的膜弯曲刚度和瞬时曲率场。我们的仿真研究使我们能够定量地表征和识别影响耦合常数(斜率)的重要因素,而这些因素在实验中可能很难确定。此外,膜模型用于研究囊泡的出芽,发现该囊泡是为了稳定具有稳定的“颈部区域”(或稳定的膜悬突)的成熟囊泡,内在的面积(范围)曲率区域需要超过临界阈值。研究了曲率诱导蛋白在具有稳定颈部(具有高斯曲率的特征负值)的出芽囊泡中的迁移和分配。查看全文下载全文关键词介导的内吞(CME),epsin N末端同源(ENTH)域蛋白,Bin Amphysin Rvs(BAR)域蛋白Delicious,linkedin,facebook,stumbleupon,digg,google,更多”,发布号:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/00268976.2012.664661

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