English
Related papers

Related papers: Membrane proteins and proteomics: Love is possible…

200 papers

This unit describes strategies for studying the proteomes of organelles, which is one example of targeted proteomics. It relies heavily on previously published units dealing with organelle preparation, protein solubilization, and proteomics…

Genomics · Quantitative Biology 2009-04-06 Pierre Lescuyer , Mireille Chevallet , Sylvie Luche , Thierry Rabilloud

Membranes are present in all cells and tissues. Mathematical models of cells and tissues need a compact mathematical description of membranes with a resolution of about 1 nm. Membranes isolate cells because ions have difficulty penetrating…

Dynamical Systems · Mathematics 2021-06-01 Yi Zhu , Shixin Xu , Robert S. Eisenberg , Huaxiong Huang

Many essential cellular processes, including cell division and the establishment of cell polarity during embryogenesis, are regulated by pattern-forming proteins. These proteins often need to bind to a substrate, such as the cell membrane,…

Soft Condensed Matter · Physics 2025-10-08 Amélie Chardac , Michael M. Norton , Jonathan Touboul , Guillaume Duclos

We study a physical model for the interaction between general inclusions bound to fluid membranes that possess finite tension, as well as the usual bending rigidity. We are motivated by an interest in proteins bound to cell membranes that…

Soft Condensed Matter · Physics 2009-11-10 A. R. Evans , M. S. Turner , P. Sens

The adhesion of biological membranes is controlled by various types of receptor and ligand molecules. In this letter, we present a statistical-mechanical model for membranes that interact via receptor/ligand bonds of two different lengths.…

Soft Condensed Matter · Physics 2009-11-11 Mesfin Asfaw , Bartosz Rozycki , Reinhard Lipowsky , Thomas R. Weikl

Hydrostatic pressure is a common perturbation to probe the conformations of proteins. There are two common forms of pressure dependent potentials of mean force (PMFs) derived from hydrophobic molecules available for the coarse grained…

Biomolecules · Quantitative Biology 2020-11-17 Andrei G. Gasic , Margaret S. Cheung

The behavior of proteins near interfaces is relevant for biological and medical purposes. Previous results in bulk show that, when the protein concentration increases, the proteins unfold and, at higher concentrations, aggregate. Here, we…

Soft Condensed Matter · Physics 2021-01-19 David March , Valentino Bianco , Giancarlo Franzese

Deep learning is an advanced technology that relies on large-scale data and complex models for feature extraction and pattern recognition. It has been widely applied across various fields, including computer vision, natural language…

Genomics · Quantitative Biology 2024-12-24 Yindan Luo , Jiaxin Cai

We present a general and systematic theory of non-equilibrium dynamics of multi-component fluid membranes, in general, and membranes containing transmembrane proteins, in particular. Developed based on a minimal number of principles of…

Soft Condensed Matter · Physics 2009-11-10 Michael A. Lomholt , Per L. Hansen , Ling Miao

Protein-protein binding enables orderly and lawful biological self-organization, and is therefore considered a miracle of nature. Protein-protein binding is steered by electrostatic forces, hydrogen bonding, van der Waals force, and…

Biomolecules · Quantitative Biology 2022-02-23 Lin Yang , Shuai Guo , Chengyu Hou , Chencheng Liao , Jiacheng Li , Liping Shi , Xiaoliang Ma , Shenda Jiang , Bing Zheng , Yi Fang , Lin Ye , Xiaodong He

We report a numerical simulation of the phase diagram of a simple model for membrane proteins constrained to move in a plane. In analogy with the corresponding three dimensional models, the liquid-gas transition becomes metastable as the…

Soft Condensed Matter · Physics 2009-10-31 Massimo G. Noro , Daan Frenkel

We develop a multi-scale approach to simulate hydrated nanobio systems under realistic condi- tions (e.g., nanoparticles and protein solutions at physiological conditions over time-scales up to hours). We combine atomistic simulations of…

Soft Condensed Matter · Physics 2017-07-05 Oriol Vilanova , Valentino Bianco , Giancarlo Franzese

Technologies based on the use of hydrogen are promising for future energy requirements in a more sustainable world. Consequently, modelling fuel cells is crucial, for instance, to optimize their control to achieve excellent performance, to…

Systems and Control · Electrical Eng. & Systems 2024-10-18 Raphaël Gass , Zhongliang Li , Rachid Outbib , Samir Jemei , Daniel Hissel

Numerical modeling of proton exchange membrane fuel cells is at the verge of becoming predictive. A crucial requisite for this, though, is that material properties of the membrane-electrode assembly and their functional dependence on the…

Applied Physics · Physics 2019-10-03 Roman Vetter , Jürgen O. Schumacher

Membrane proteins often need to be inserted into or attached on the cell membrane to perform their functions. Understanding their transmembrane topology and conformational dynamics during insertion is crucial for elucidating their roles.…

Biological Physics · Physics 2024-12-30 C. Yang , D. Ma , S. Hu , M. Li , Y. Lu

The aim of this work is to revisit the phenomenological theory of the interaction between membrane inclusions, mediated by the membrane fluctuations. We consider the case where the inclusions are separated by distances larger than their…

Soft Condensed Matter · Physics 2022-12-28 E. S. Pikina , A. R. Muratov , E. I. Kats , V. V. Lebedev

The understanding of the structural and thermal properties of membranes, low-dimensional flexible systems in a space of higher dimension, is pursued in many fields from string theory to chemistry and biology. The case of a two-dimensional…

Mesoscale and Nanoscale Physics · Physics 2013-02-08 Mikhail I. Katsnelson , Annalisa Fasolino

Protein identification and profiling is critical for the advancement of cell and molecular biology as well as medical diagnostics. Although mass spectrometry and protein microarrays are commonly used for protein identification, both methods…

These lectures will address two questions. Is there a simple variational principle underlying the existence of secondary motifs in the native state of proteins? Is there a general approach which can qualitatively capture the salient…

Statistical Mechanics · Physics 2007-05-23 Jay Banavar , Amos Maritan , Cristian Micheletti , Flavio Seno

A reliable prediction of 3D protein structures from sequence data remains a big challenge due to both theoretical and computational difficulties. We have previously shown that our kinetostatic compliance method (KCM) implemented into the…

Computational Engineering, Finance, and Science · Computer Science 2017-12-27 Pouya Tavousi , Morad Behandish , Horea T. Ilies , Kazem Kazerounian