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Characterizing Protein Protonation Microstates Using Monte Carlo Sampling

[Image: see text] Proteins are polyelectrolytes with acidic and basic amino acids Asp, Glu, Arg, Lys, and His, making up ≈25% of the residues. The protonation state of residues, cofactors, and ligands defines a “protonation microstate”. In an ensemble of proteins some residues will be ionized and ot...

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Autores principales: Khaniya, Umesh, Mao, Junjun, Wei, Rongmei Judy, Gunner, M. R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997239/
https://www.ncbi.nlm.nih.gov/pubmed/35344367
http://dx.doi.org/10.1021/acs.jpcb.2c00139
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author Khaniya, Umesh
Mao, Junjun
Wei, Rongmei Judy
Gunner, M. R.
author_facet Khaniya, Umesh
Mao, Junjun
Wei, Rongmei Judy
Gunner, M. R.
author_sort Khaniya, Umesh
collection PubMed
description [Image: see text] Proteins are polyelectrolytes with acidic and basic amino acids Asp, Glu, Arg, Lys, and His, making up ≈25% of the residues. The protonation state of residues, cofactors, and ligands defines a “protonation microstate”. In an ensemble of proteins some residues will be ionized and others neutral, leading to a mixture of protonation microstates rather than in a single one as is often assumed. The microstate distribution changes with pH. The protein environment also modifies residue proton affinity so microstate distributions change in different reaction intermediates or as ligands are bound. Particular protonation microstates may be required for function, while others exist simply because there are many states with similar energy. Here, the protonation microstates generated in Monte Carlo sampling in MCCE are characterized in HEW lysozyme as a function of pH and bacterial photosynthetic reaction centers (RCs) in different reaction intermediates. The lowest energy and highest probability microstates are compared. The ΔG, ΔH, and ΔS between the four protonation states of Glu35 and Asp52 in lysozyme are shown to be calculated with reasonable precision. At pH 7 the lysozyme charge ranges from 6 to 10, with 24 accepted protonation microstates, while RCs have ≈50,000. A weighted Pearson correlation analysis shows coupling between residue protonation states in RCs and how they change when the quinone in the Q(B) site is reduced. Protonation microstates can be used to define input MD parameters and provide insight into the motion of protons coupled to reactions.
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spelling pubmed-89972392023-03-28 Characterizing Protein Protonation Microstates Using Monte Carlo Sampling Khaniya, Umesh Mao, Junjun Wei, Rongmei Judy Gunner, M. R. J Phys Chem B [Image: see text] Proteins are polyelectrolytes with acidic and basic amino acids Asp, Glu, Arg, Lys, and His, making up ≈25% of the residues. The protonation state of residues, cofactors, and ligands defines a “protonation microstate”. In an ensemble of proteins some residues will be ionized and others neutral, leading to a mixture of protonation microstates rather than in a single one as is often assumed. The microstate distribution changes with pH. The protein environment also modifies residue proton affinity so microstate distributions change in different reaction intermediates or as ligands are bound. Particular protonation microstates may be required for function, while others exist simply because there are many states with similar energy. Here, the protonation microstates generated in Monte Carlo sampling in MCCE are characterized in HEW lysozyme as a function of pH and bacterial photosynthetic reaction centers (RCs) in different reaction intermediates. The lowest energy and highest probability microstates are compared. The ΔG, ΔH, and ΔS between the four protonation states of Glu35 and Asp52 in lysozyme are shown to be calculated with reasonable precision. At pH 7 the lysozyme charge ranges from 6 to 10, with 24 accepted protonation microstates, while RCs have ≈50,000. A weighted Pearson correlation analysis shows coupling between residue protonation states in RCs and how they change when the quinone in the Q(B) site is reduced. Protonation microstates can be used to define input MD parameters and provide insight into the motion of protons coupled to reactions. American Chemical Society 2022-03-28 2022-04-07 /pmc/articles/PMC8997239/ /pubmed/35344367 http://dx.doi.org/10.1021/acs.jpcb.2c00139 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Khaniya, Umesh
Mao, Junjun
Wei, Rongmei Judy
Gunner, M. R.
Characterizing Protein Protonation Microstates Using Monte Carlo Sampling
title Characterizing Protein Protonation Microstates Using Monte Carlo Sampling
title_full Characterizing Protein Protonation Microstates Using Monte Carlo Sampling
title_fullStr Characterizing Protein Protonation Microstates Using Monte Carlo Sampling
title_full_unstemmed Characterizing Protein Protonation Microstates Using Monte Carlo Sampling
title_short Characterizing Protein Protonation Microstates Using Monte Carlo Sampling
title_sort characterizing protein protonation microstates using monte carlo sampling
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997239/
https://www.ncbi.nlm.nih.gov/pubmed/35344367
http://dx.doi.org/10.1021/acs.jpcb.2c00139
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