Membrane Bending by Protein Phase Separation
نویسندگان
چکیده
منابع مشابه
Protein and Lactose Separation by Modified Ultrafiltration Membrane using Layer by Layer Technique
Layer-by-Layer (LbL) is a method which can be used for nanoscale coating and surface functionalization of a material. LbL technique mainly uses the electrostatic attracting between charged materials (polyelectrolytes, nanoparticles, etc.) and an oppositely charged surface. In this study, protein separation (BSA) from lactose solution was carried out using the LbL self-assembly method, which was...
متن کاملLiquid-liquid phase separation of a surfactant-solubilized membrane protein.
Solubilization of membrane proteins requires surfactants, whose structural properties play a crucial role in determining the protein phase behavior. We show that ionization of a pH-sensitive surfactant, lauryldymethylamino-N-oxide, bound to the bacterial photosynthetic Reaction Center, induces protein phase segregation in micrometric "droplets." Liquid-liquid phase separation takes place in a n...
متن کاملStatistical thermodynamics of membrane bending-mediated protein-protein attractions.
Highly wedge-shaped integral membrane proteins, or membrane-adsorbed proteins can induce long-ranged deformations. The strain in the surrounding bilayer creates relatively long-ranged forces that contribute to interactions with nearby proteins. In contrast, to direct short-ranged interactions such as van der Waal's, hydrophobic, or electrostatic interactions, both local membrane Gaussian curvat...
متن کاملStatistical thermodynamics of membrane bending mediated protein-protein attraction
Integral membrane proteins deform the surrounding bilayer creating long-ranged forces that influence distant proteins. These forces can be attractive or repulsive, depending on the proteins’ shape, height, contact angle with the bilayer, as well as the local membrane curvature. Although interaction energies are not pairwise additive, for sufficiently low protein density, thermodynamic propertie...
متن کاملmodeling loss data by phase-type distribution
بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...
ذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biophysical Journal
سال: 2021
ISSN: 0006-3495
DOI: 10.1016/j.bpj.2020.11.267