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Related Concept Videos

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Sedimentation Equilibrium of a Small Oligomer-forming Membrane Protein: Effect of Histidine Protonation on Pentameric Stability
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Characterizing Protein Protonation Microstates Using Monte Carlo Sampling.

Umesh Khaniya1,2, Junjun Mao1, Rongmei Judy Wei1,3

  • 1Department of Physics, City College of New York, New York, New York 10031, United States.

The Journal of Physical Chemistry. B
|March 28, 2022
PubMed
Summary
This summary is machine-generated.

Proteins exist in multiple protonation microstates, not just one, which vary with pH and protein environment. Understanding these microstates is crucial for protein function and reaction mechanisms.

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Area of Science:

  • Biophysics
  • Computational Chemistry
  • Biochemistry

Background:

  • Proteins are polyelectrolytes containing acidic and basic amino acids.
  • The protonation state of amino acid residues defines a protein's microstate.
  • Proteins exist as an ensemble of microstates, influenced by pH and environment.

Purpose of the Study:

  • To characterize protein protonation microstates using Monte Carlo simulations.
  • To investigate how microstate distributions change with pH and ligand binding.
  • To compare microstates in HEW lysozyme and photosynthetic reaction centers (RCs).

Main Methods:

  • Monte Carlo simulations using MCCE (Master-Coupled Continuum Electrostatics).
  • Analysis of protonation microstates as a function of pH.
  • Calculation of thermodynamic parameters (ΔG, ΔH, ΔS) for specific residues.
  • Weighted Pearson correlation analysis for residue coupling in RCs.

Main Results:

  • Characterized protonation microstates in HEW lysozyme and RCs.
  • Demonstrated that microstate distributions change with pH and reaction intermediates.
  • Calculated thermodynamic properties for lysozyme residues with reasonable precision.
  • Observed significant coupling between residue protonation states in RCs.

Conclusions:

  • Protein protonation microstates are diverse and pH-dependent.
  • Protonation microstates are critical for understanding protein function and reaction dynamics.
  • This work provides a foundation for using microstates in molecular dynamics simulations.