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Related Concept Videos

Protein Organization01:24

Protein Organization

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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....
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Overview
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Solubility03:00

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Solution, Solubility, and Solubility Equilibrium
A solution is a homogeneous mixture composed of a solvent, the major component, and a solute, the minor component. The physical state of a solution—solid, liquid, or gas—is typically the same as that of the solvent. Solute concentrations are often described with qualitative terms such as dilute (of relatively low concentration) and concentrated (of relatively high concentration).
In a solution, the solute particles (molecules,...
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Conserved Binding Sites01:49

Conserved Binding Sites

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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
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Protein-protein Interfaces02:04

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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...
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Ligand Binding Sites02:40

Ligand Binding Sites

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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...
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A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

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SOLart: a structure-based method to predict protein solubility and aggregation.

Qingzhen Hou1,2, Jean Marc Kwasigroch1,2, Marianne Rooman1,2

  • 1Computational Biology and Bioinformatics, Université Libre de Bruxelles, Avenue Roosevelt 50, 1050 Brussels, Belgium.

Bioinformatics (Oxford, England)
|October 12, 2019
PubMed
Summary
This summary is machine-generated.

Predicting protein solubility is crucial for research and disease understanding. The new SOLart tool accurately forecasts protein solubility using structural and sequence data, outperforming existing methods.

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Area of Science:

  • * Protein biochemistry and structural biology.
  • * Computational biology and bioinformatics.

Background:

  • * Protein solubility is critical for function, high-concentration production, and preventing aggregation-related diseases.
  • * Experimental solubility measurements are costly and time-consuming, necessitating predictive tools.

Purpose of the Study:

  • * To develop an accurate and user-friendly tool for predicting protein solubility.
  • * To improve upon existing protein solubility prediction methods.

Main Methods:

  • * Development of solubility-dependent distance potentials based on residue interactions, backbone torsion angles, and solvent accessibility.
  • * Integration of these potentials with other features into a random forest model.
  • * Training and validation on experimental solubility data for *Escherichia coli* and *Saccharomyces cerevisiae* proteins.

Main Results:

  • * The SOLart predictor achieved a Pearson correlation coefficient of nearly 0.7 for predicting protein solubility.
  • * Key features included folding free energy differences derived from solubility-dependent potentials.
  • * SOLart demonstrated robust performance on both high-resolution and low-resolution structures, outperforming state-of-the-art predictors.

Conclusions:

  • * SOLart provides a reliable and accessible method for predicting protein solubility.
  • * The tool is valuable for structural genomics, protein production, and disease research.
  • * A user-friendly webserver facilitates use by scientists of all expertise levels.