Calculation of the Characteristics of the Ionic States of Cytochrome c Biomolecules by a Decomposition Method with Separation of One- and Two-Dimensional Ion Charge Distributions

Calculation of the Characteristics of the Ionic States of Cytochrome c Biomolecules by a... This work was devoted to the acquisition and analysis of information on the charge state of polyprotonated and polycationated biomolecules based on experimental mass-spectrometric data obtained using the electrospray ionization of the solutions of biopolymers. This was performed by solving an inverse problem for the calculation of the probabilities of the retention of protons and sodium ions by the ionogenic groups of the biomolecules of cytochrome c from equine horse. A probabilistic model and the theoretical description of an algorithm for the two-dimensional decomposition of charge distributions are given. This is a new approach, which does not have analogs in the publications of other authors. The results of calculations performed according to the developed programs—the two-dimensional and one-dimensional decomposition of charge distributions with the selection of components corresponding to structurally homogeneous ions—are discussed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Physical Chemistry B Springer Journals

Calculation of the Characteristics of the Ionic States of Cytochrome c Biomolecules by a Decomposition Method with Separation of One- and Two-Dimensional Ion Charge Distributions

Loading next page...
 
/lp/springer_journal/calculation-of-the-characteristics-of-the-ionic-states-of-cytochrome-c-mwBZyDrg0R
Publisher
Pleiades Publishing
Copyright
Copyright © 2018 by Pleiades Publishing, Ltd.
Subject
Chemistry; Physical Chemistry
ISSN
1990-7931
eISSN
1990-7923
D.O.I.
10.1134/S1990793118020252
Publisher site
See Article on Publisher Site

Abstract

This work was devoted to the acquisition and analysis of information on the charge state of polyprotonated and polycationated biomolecules based on experimental mass-spectrometric data obtained using the electrospray ionization of the solutions of biopolymers. This was performed by solving an inverse problem for the calculation of the probabilities of the retention of protons and sodium ions by the ionogenic groups of the biomolecules of cytochrome c from equine horse. A probabilistic model and the theoretical description of an algorithm for the two-dimensional decomposition of charge distributions are given. This is a new approach, which does not have analogs in the publications of other authors. The results of calculations performed according to the developed programs—the two-dimensional and one-dimensional decomposition of charge distributions with the selection of components corresponding to structurally homogeneous ions—are discussed.

Journal

Russian Journal of Physical Chemistry BSpringer Journals

Published: May 29, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off