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Mathematical models describing oxygen binding by hemoglobin.

Igor A LavrinenkoGennady A VashanovJose Luis Hernandez-CaceresYury D Nechipurenko
Published in: Biophysical reviews (2023)
Despite the fact that the investigation of the structural and functional properties of hemoglobin dates back more than 150 years, the topic has not lost its relevance today. The most important component of these studies is the development of mathematical models that formalize and generalize the mechanisms determining the cooperative binding of ligands based on data on the structural and functional state of the protein. In this work, we review the mathematical relationships describing oxygen binding by hemoglobin, ranging from the classical Hüfner, Hill, and Adair equations to the Szabo-Karplus and tertiary two-state mathematical models based on the Monod-Wyman-Changeux and Koshland-Némethy-Filmer concepts. The generality of the considered equations as mathematical functions, bearing in their basis a power dependence, is demonstrated. The problems and possible solutions related to approximation of experimental data by the oxygenation equations with correlated fitting parameters are noted. Attention is paid to empirical equations, extended versions of the Hill equation, where the coefficient of cooperation is modulated by Gauss and Lorentz distributions as functions of partial oxygen pressure.
Keyphrases
  • binding protein
  • electronic health record
  • big data
  • mental health
  • dna binding
  • red blood cell
  • working memory
  • magnetic resonance
  • machine learning
  • small molecule
  • artificial intelligence
  • blood flow