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Related Concept Videos

Protein-protein Interfaces02:04

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...
Noncovalent Attractions in Biomolecules02:35

Noncovalent Attractions in Biomolecules

Noncovalent attractions are associations within and between molecules that influence the shape and structural stability of complexes. These interactions differ from covalent bonding in that they do not involve sharing of electrons.
Four types of noncovalent interactions are hydrogen bonds, van der Waals forces, ionic bonds, and hydrophobic interactions.
Hydrogen bonding results from the electrostatic attraction of a hydrogen atom covalently bonded to a strong-electronegative atom like oxygen,...
Ligand Binding Sites02:40

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Pore Transport and Ion-Pair Transport01:17

Pore Transport and Ion-Pair Transport

Pore transport and ion-pair formation are critical mechanisms for the absorption and distribution of drugs in the body.
Pore transport, also known as convective transport, is a process where small molecules like urea, water, and sugars rapidly cross cell membranes as though there were channels or pores in the membrane. Although direct microscopic evidence is limited  but the concept of pores or channels is widely accepted based on physiological evidence. Despite the lack of direct microscopic...
Protein Folding01:22

Protein Folding

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Updated: Jun 16, 2026

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
06:50

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions

Published on: January 26, 2024

Preferential interactions between small solutes and the protein backbone: a computational analysis.

Liang Ma1, Laurel Pegram, M T Record

  • 1Graduate Program in Biophysics and Department of Chemistry, University of Wisconsin, University Avenue, Madison, Wisconsin 53706, USA.

Biochemistry
|February 4, 2010
PubMed
Summary
This summary is machine-generated.

Atomistic simulations reveal that accurate force field models are crucial for understanding how small solutes like urea and glycine betaine affect protein stability. Careful parameterization is key to correctly predicting solute-peptide interactions.

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Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
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Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes

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Area of Science:

  • Biochemistry
  • Computational Chemistry
  • Molecular Dynamics

Background:

  • Small solutes significantly influence protein stability and function.
  • Accurate modeling of solute-biomolecule interactions is essential for understanding denaturation and stabilization effects.

Purpose of the Study:

  • To quantitatively characterize interactions between urea, glycine betaine (GB), and a triglycine peptide using atomistic simulations.
  • To assess the accuracy of force field models in predicting these interactions and their impact on protein stability.

Main Methods:

  • Atomistic molecular dynamics simulations of ternary systems (solute-peptide-water) at various concentrations.
  • Utilized the CHARMM force field for simulations, with system sizes of 200-300 ns.
  • Calculated preferential interaction coefficients (Gamma(23)) and compared them with experimental data.

Main Results:

  • Semi-quantitative agreement with experimental data was achieved when interactions were carefully balanced.
  • Qualitatively incorrect results were obtained using force field models with non-optimized parameters.
  • The CHARMM force field may overestimate urea's interaction with aliphatic groups, contributing to denaturation insights.

Conclusions:

  • Small solute thermodynamic data are valuable for developing accurate biomolecular force fields.
  • Force field model sensitivity highlights the need for precise parameterization to predict solute effects on protein stability.
  • Results support additive models for glycine betaine interactions with biomolecular surfaces.