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Related Concept Videos

Two-dimensional Gel Electrophoresis01:22

Two-dimensional Gel Electrophoresis

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Two-dimensional gel electrophoresis is a high-resolution protein separation method first introduced by O' Farrell and Klose in 1975. This method involves protein separation by two dimensions, mass and charge, making it more accurate than one-dimensional gel electrophoresis.
The first dimension separation uses the isoelectric focusing or IEF technique performed on immobilized pH gradient (IPG) strips that separate proteins according to their isoelectric points.
Biological samples, such...
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Capillary Electrophoresis: Applications01:30

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Capillary electrophoretic separations offer various modes, each with unique applications. These modes include capillary zone electrophoresis, capillary gel electrophoresis, capillary array electrophoresis, capillary isoelectric focusing, capillary isotachophoresis, micellar electrokinetic chromatography, and capillary electrochromatography.
Capillary zone electrophoresis (CZE) separates ionic components based on their electrophoretic mobility. It has been used to separate proteins, amino acids,...
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Updated: Nov 30, 2025

Separation of Bioactive Small Molecules, Peptides from Natural Sources and Proteins from Microbes by Preparative Isoelectric Focusing IEF Method
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Virus Isoelectric Point Estimation: Theories and Methods.

Joe Heffron1, Brooke K Mayer1

  • 1Department of Civil, Construction and Environmental Engineering, Marquette University, Milwaukee, Wisconsin, USA joseph.heffron@marquette.edu brooke.mayer@marquette.edu.

Applied and Environmental Microbiology
|November 14, 2020
PubMed
Summary
This summary is machine-generated.

Predicting virus isoelectric point (pI) is crucial for understanding virus fate. Excluding polynucleotide-binding regions (PBRs) from charge calculations significantly improves pI prediction accuracy for nonenveloped viruses.

Keywords:
DNA bindingDNA-binding proteinsRNA bindingRNA-binding proteinscapsidcolloidelectrostaticmodelingpolynucleotidepredictionpredictive modelsurface chargevirionvirion structure

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Area of Science:

  • Virology
  • Biophysics
  • Computational Biology

Background:

  • Virus fate and transport are heavily influenced by electrostatic interactions.
  • Accurate prediction of virion isoelectric point (pI) is essential for anticipating virus behavior, especially for difficult-to-propagate viruses.
  • Current methods for predicting pI based on capsid protein charges often show significant deviations from empirical measurements.

Purpose of the Study:

  • To review existing models for predicting viral isoelectric points (pI).
  • To investigate the impact of polynucleotide-binding regions (PBRs) on pI prediction accuracy.
  • To propose and validate a new conceptual electrostatic model for pI prediction.

Main Methods:

  • Review of existing pI prediction models, including those considering polynucleotide influence and exterior residues.
  • Comparison of traditional methods with a novel approach excluding PBRs from electrostatic calculations.
  • Validation of the PBR exclusion method across a diverse range of nonenveloped viruses.

Main Results:

  • The PBR exclusion method significantly outperformed traditional methods, including those based on 3D structure.
  • This approach successfully accounted for major discrepancies between predicted and empirical pIs.
  • The PBR exclusion method demonstrated robust performance across various viruses without compromising prediction accuracy.

Conclusions:

  • Excluding PBRs is the most effective method currently available for predicting the pI of nonenveloped viruses.
  • PBR prediction is independent of pI impact, relies on proteome sequences, and has been validated on diverse viral sets.
  • Developing similar models for enveloped viruses is challenging due to data limitations and envelope complexities.