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Related Concept Videos

Membrane Proteins01:30

Membrane Proteins

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Plasma membranes have integral transmembrane proteins involved in facilitated transport. These proteins are collectively referred to as transport proteins, and they function as either channels for the material or as carriers themselves. Channel proteins have hydrophilic domains exposed to the intracellular and extracellular fluids and a hydrophilic channel through their core that provides a hydrated opening for solutes to pass through the membrane layers. Passage through the channel allows...
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Multi-pass Transmembrane Proteins and β-barrels01:09

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In multi-pass transmembrane proteins, the polypeptide chain crosses the membrane more than once. The transmembrane polypeptide chain either forms an α-helix or β-strand structure. α-Helix containing multi-pass transmembrane proteins are ubiquitous, whereas β-strand containing ones are mainly found in gram-negative bacteria, mitochondria, and chloroplasts.
α-Helix containing multi-pass transmembrane proteins
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Introduction to Membrane Proteins01:16

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The cell membrane, or plasma membrane, is an ever-changing landscape. It is described as a fluid mosaic where various macromolecules are embedded in the phospholipid bilayer. Among the macromolecules are proteins. The protein content varies across cell types. For example, mitochondrial inner membranes contain ~76% protein content, while myelin contains ~18% protein content. Individual cells contain many types of membrane proteins—red blood cells contain over 50—and different cell...
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Single-pass Transmembrane Proteins01:25

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Integral membrane proteins are tightly associated with the cell membrane and play a crucial role in cell communication, signaling, adhesion, and transport of the molecules. Some integral membrane proteins are present only in the membrane monolayer. For example, the enzyme fatty acid amide hydrolase is present in the cytoplasmic side of the membrane monolayer. In contrast, another type of integral membrane protein, also known as a transmembrane protein, spans across the membrane. Transmembrane...
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Fluid Mosaic Model01:19

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Scientists identified the plasma membrane in the 1890s and its principal chemical components (lipids and proteins) by 1915. The model for plasma membrane structure, proposed in 1935 by Hugh Davson and James Danielli, was the first model to be widely accepted in the scientific community. The model was based on the plasma membrane's "railroad track" appearance in early electron micrographs. Davson and Danielli theorized that the plasma membrane's structure resembled a sandwich...
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Mechanisms of Membrane-bending01:15

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The living membranes are flexible due to their fluid mosaic nature; however, their bending into different shapes is an active process regulated by specific lipids and proteins. The membrane bending can be transient as seen in vesicles or stable for a long time as in microvilli. Cells regulate the size, location, and duration of the membrane curvature.
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Updated: Feb 26, 2026

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
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Membrane proteins structures: A review on computational modeling tools.

Jose G Almeida1, Antonio J Preto1, Panagiotis I Koukos2

  • 1CNC - Center for Neuroscience and Cell Biology, Rua Larga, FMUC, Polo I, 1°andar, Universidade de Coimbra, 3004-517, Coimbra, Portugal.

Biochimica Et Biophysica Acta. Biomembranes
|July 19, 2017
PubMed
Summary
This summary is machine-generated.

Computational methods offer a powerful alternative for determining membrane protein structures, overcoming experimental limitations. These techniques, including molecular dynamics and machine learning, provide valuable insights into protein function and drug targeting.

Keywords:
Computational modelingGPCRsMachine-learningMembrane proteinsTransporters

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Area of Science:

  • Biochemistry and structural biology
  • Computational biology and bioinformatics

Background:

  • Membrane proteins (MPs) are crucial in biological systems, encoded by 20-30% of genomes and representing 50% of human drug targets.
  • Experimental determination of membrane protein 3D structures is challenging, time-consuming, and expensive.

Purpose of the Study:

  • To review the importance of membrane proteins and the role of computational methods in their structural characterization.
  • To highlight advancements in computational approaches for modeling MPs and analyzing their binding interfaces.

Main Methods:

  • Molecular Dynamics (MD) simulations for analyzing lipid interactions and allostery.
  • Machine Learning (ML) algorithms for membrane protein structure prediction.
  • Review of relevant databases and software for MP structural studies.

Main Results:

  • Computational methods are increasingly powerful and reliable for modeling MPs.
  • Advancements in algorithms, tools, and data availability enhance MP structure prediction.
  • Hybrid approaches offer robust solutions for complex MP structural problems.

Conclusions:

  • Computational techniques provide a viable and effective alternative to experimental methods for MP structure determination.
  • These methods offer valuable insights into MP function, lipid interactions, and allosteric mechanisms.
  • The review summarizes key computational tools and databases essential for MP research.