Literature DB >> 35344367

Characterizing Protein Protonation Microstates Using Monte Carlo Sampling.

Umesh Khaniya1,2, Junjun Mao1, Rongmei Judy Wei1,3, M R Gunner1,2,3.   

Abstract

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 QB 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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Year:  2022        PMID: 35344367      PMCID: PMC8997239          DOI: 10.1021/acs.jpcb.2c00139

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  66 in total

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Journal:  Proteins       Date:  2011-10-15

2.  A new method to evaluate the similarity of chromatographic fingerprints: weighted pearson product-moment correlation coefficient.

Authors:  Yongsuo Liu; Qinghua Meng; Rong Chen; Jiansong Wang; Shumin Jiang; Yuzhu Hu
Journal:  J Chromatogr Sci       Date:  2004 Nov-Dec       Impact factor: 1.618

Review 3.  Chance and design--proton transfer in water, channels and bioenergetic proteins.

Authors:  Colin A Wraight
Journal:  Biochim Biophys Acta       Date:  2006-07-14

4.  Protonation changes upon ligand binding to trypsin and thrombin: structural interpretation based on pK(a) calculations and ITC experiments.

Authors:  Paul Czodrowski; Christoph A Sotriffer; Gerhard Klebe
Journal:  J Mol Biol       Date:  2007-01-12       Impact factor: 5.469

Review 5.  Charge matters.

Authors:  Thomas Laue
Journal:  Biophys Rev       Date:  2016-10-20

6.  Measurement of the individual pKa values of acidic residues of hen and turkey lysozymes by two-dimensional 1H NMR.

Authors:  K Bartik; C Redfield; C M Dobson
Journal:  Biophys J       Date:  1994-04       Impact factor: 4.033

7.  Proton exit pathways surrounding the oxygen evolving complex of photosystem II.

Authors:  Divya Kaur; Yingying Zhang; Krystle M Reiss; Manoj Mandal; Gary W Brudvig; Victor S Batista; M R Gunner
Journal:  Biochim Biophys Acta Bioenerg       Date:  2021-05-05       Impact factor: 3.991

8.  MCCE2: improving protein pKa calculations with extensive side chain rotamer sampling.

Authors:  Yifan Song; Junjun Mao; M R Gunner
Journal:  J Comput Chem       Date:  2009-11-15       Impact factor: 3.376

9.  Using multiconformation continuum electrostatics to compare chloride binding motifs in alpha-amylase, human serum albumin, and Omp32.

Authors:  Yifan Song; M R Gunner
Journal:  J Mol Biol       Date:  2009-04-10       Impact factor: 5.469

10.  Bridge: A Graph-Based Algorithm to Analyze Dynamic H-Bond Networks in Membrane Proteins.

Authors:  Malte Siemers; Michalis Lazaratos; Konstantina Karathanou; Federico Guerra; Leonid S Brown; Ana-Nicoleta Bondar
Journal:  J Chem Theory Comput       Date:  2019-11-11       Impact factor: 6.006

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