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{ "item_title" : "Mathematical Modeling of Protein Complexes", "item_author" : [" Tatiana Koshlan", "Kirill Kulikov "], "item_description" : "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. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/31/998/303/3319983032_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mathematical Modeling of Protein Complexes|Tatiana Koshlan

Mathematical Modeling of Protein Complexes

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Overview

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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Details

  • ISBN-13: 9783319983035
  • ISBN-10: 3319983032
  • Publisher: Springer
  • Publish Date: September 2018
  • Dimensions: 9.21 x 6.14 x 0.88 inches
  • Shipping Weight: 1.57 pounds
  • Page Count: 367

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