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Mathematical modeling of protein com...

Koshlan, Tatiana.

Mathematical modeling of protein complexes

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mathematical modeling of protein complexesby Tatiana Koshlan, Kirill Kulikov.
Author:	Koshlan, Tatiana.
other author:	Kulikov, Kirill.
Published:	Cham :Springer International Publishing :2018.
Description:	xiv, 367 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	ProteinsMathematical models.
Online resource:	http://dx.doi.org/10.1007/978-3-319-98304-2
ISBN:	9783319983042$q(electronic bk.)

Mathematical modeling of protein complexes
Koshlan, Tatiana.

Mathematical modeling of protein complexes[electronic resource] /by Tatiana Koshlan, Kirill Kulikov. - Cham :Springer International Publishing :2018. - xiv, 367 p. :ill., digital ;24 cm. - Biological and medical physics, biomedical engineering,1618-7210. - Biological and medical physics, biomedical engineering..

Introduction -- Physical methods for studying proteins -- Physical properties of amino acids and proteins -- Selection of a biological objects -- Mathematical simulation of complex formation of protein molecules allowing for their domain structure -- Mathematical modeling of histone dimers formation in vitro with solutions of different ionic strength in the presence of monovalent salts -- Mathematical modeling of the temperature effect on binding of monomeric proteins in aqueous solutions by example on histones H2A, H2B, H3 and H4 -- Mathematical modeling of the temperature effect on binding of different sites of protein BCL-XL in aqueous solutions -- Mathematical modeling of the phosphorylation effect on the nature formation of biological complexes P53-MDM2 and P53-P300.

This book is devoted to the physical and mathematical modeling of the formation of complexes of protein molecules. The models developed show remarkable sensitivity to the amino acid sequences of proteins, which facilitates experimental studies and allows one to reduce the associated costs by reducing the number of measurements required according to the developed criteria. These models make it possible to reach a conclusion about the interactions between different amino acid chains and to identify more stable sites on proteins. The models also take the phosphorylation of amino acid residues into account. At the end of the book, the authors present possible directions of application of their physical and mathematical models in clinical medicine.

ISBN: 9783319983042$q(electronic bk.)

Standard No.: 10.1007/978-3-319-98304-2doiSubjects--Topical Terms:

509133
Proteins
--Mathematical models.

LC Class. No.: QP551 / .K674 2018

Dewey Class. No.: 572.6015118

Mathematical modeling of protein complexes
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100 1 $a Koshlan, Tatiana. $3 819418
245 1 0 $a Mathematical modeling of protein complexes $h [electronic resource] / $c by Tatiana Koshlan, Kirill Kulikov.
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300 $a xiv, 367 p. : $b ill., digital ; $c 24 cm.
490 1 $a Biological and medical physics, biomedical engineering, $x 1618-7210
505 0 $a Introduction -- Physical methods for studying proteins -- Physical properties of amino acids and proteins -- Selection of a biological objects -- Mathematical simulation of complex formation of protein molecules allowing for their domain structure -- Mathematical modeling of histone dimers formation in vitro with solutions of different ionic strength in the presence of monovalent salts -- Mathematical modeling of the temperature effect on binding of monomeric proteins in aqueous solutions by example on histones H2A, H2B, H3 and H4 -- Mathematical modeling of the temperature effect on binding of different sites of protein BCL-XL in aqueous solutions -- Mathematical modeling of the phosphorylation effect on the nature formation of biological complexes P53-MDM2 and P53-P300.
520 $a This book is devoted to the physical and mathematical modeling of the formation of complexes of protein molecules. The models developed show remarkable sensitivity to the amino acid sequences of proteins, which facilitates experimental studies and allows one to reduce the associated costs by reducing the number of measurements required according to the developed criteria. These models make it possible to reach a conclusion about the interactions between different amino acid chains and to identify more stable sites on proteins. The models also take the phosphorylation of amino acid residues into account. At the end of the book, the authors present possible directions of application of their physical and mathematical models in clinical medicine.
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650 2 4 $a Mathematical and Computational Biology. $3 514442
650 2 4 $a Biomedical Engineering. $3 190464
700 1 $a Kulikov, Kirill. $3 675611
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