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010   $a3-319-98304-0
024 7 $a10.1007/978-3-319-98304-2
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035   $a(MiAaPQ)EBC5497907
035   $a(DE-He213)978-3-319-98304-2
035   $a(PPN)229916716
035   $a(EXLCZ)994100000005958342
100   $a20180824d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMathematical Modeling of Protein Complexes /$fby Tatiana Koshlan, Kirill Kulikov
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (378 pages)
225 1 $aBiological and Medical Physics, Biomedical Engineering,$x1618-7210
311   $a3-319-98303-2 
327   $aIntroduction -- 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.
330   $aThis book is devoted to the physical and mathematical modeling of the formation of complexes of protein molecules. The models developed show remarkable sensitivity to the amino acid sequences of proteins, which facilitates experimental studies and allows one to reduce the associated costs by reducing the number of measurements required according to the developed criteria. These models make it possible to reach a conclusion about the interactions between different amino acid chains and to identify more stable sites on proteins. The models also take the phosphorylation of amino acid residues into account. At the end of the book, the authors present possible directions of application of their physical and mathematical models in clinical medicine.
410  0$aBiological and Medical Physics, Biomedical Engineering,$x1618-7210
606   $aBiophysics
606   $aBiophysics
606   $aProteins
606   $aPhysics
606   $aBiomathematics
606   $aBiomedical engineering
606   $aBiological and Medical Physics, Biophysics$3https://scigraph.springernature.com/ontologies/product-market-codes/P27008
606   $aProtein Structure$3https://scigraph.springernature.com/ontologies/product-market-codes/L14050
606   $aNumerical and Computational Physics, Simulation$3https://scigraph.springernature.com/ontologies/product-market-codes/P19021
606   $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000
606   $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X
615  0$aBiophysics.
615  0$aBiophysics.
615  0$aProteins.
615  0$aPhysics.
615  0$aBiomathematics.
615  0$aBiomedical engineering.
615 14$aBiological and Medical Physics, Biophysics.
615 24$aProtein Structure.
615 24$aNumerical and Computational Physics, Simulation.
615 24$aMathematical and Computational Biology.
615 24$aBiomedical Engineering and Bioengineering.
676   $a572.633015118
700   $aKoshlan$b Tatiana$4aut$4http://id.loc.gov/vocabulary/relators/aut$0835348
702   $aKulikov$b Kirill$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910300553803321
996   $aMathematical Modeling of Protein Complexes$92529267
997   $aUNINA