Kinetics for Autocatalytic Processes in Biology and Pharmacological Application: Advances and Prospects

A special issue of Catalysts (ISSN 2073-4344). This special issue belongs to the section "Biocatalysis".

Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 4268

Special Issue Editors


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Guest Editor
Head of the Department of Analytical Chemistry, Committee of Chairs for Study Fields and Programs, Charles University, Faculty of Science, Hlavova 8, 128 43 Praha 2, Czech Republic
Interests: the use of chromatographic and electrophoretic separation methods with UV; fluorescence and tandem mass spectrometric detection for the analysis of biologically active compounds; mathematical processing of the obtained data

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Guest Editor
1. Head of the Group of Reproductive Biology, Institute of Biotechnology of the Czech Academy of Sciences, Centrum BIOCEV, Prumyslova 595, 252 50 Vestec, Czech Republic
2. Department of Zoology, Faculty of Science, Charles University, Vinicna 7, 128 44 Prague 2, Czech Republic
Interests: sperm-egg interaction and fusion; sperm maturation; epigenetic regulation of early embryogenesis and epigenetic markers associated with human infertility; She also focuses on translational research namely selection of markers and sperm parameters assessment after pathological challenge including cancer

Special Issue Information

Dear Colleagues,

In spite of all knowledge we have gained from research on biological and pharmacological systems, the advanced data interpretation using kinetic analysis can deliver new unrevealed dimensions. 

Multidisciplinary approach is needed  in order to understand a complexity of biological response to endogenous substances as well as newly composed particles. This new approach can be achieved by mathematical interpretations including autocatalysis.

This special issue is dedicated to cover wide range of kinetic applications in a scope of Catalysts with special emphasis on interpretation of physiological processes, dynamics of biologically and pharmacologically active substances in combination with advanced analytical tools.

It is hoped that outcome of the studies published here-in can be used as the catalyst for developing additional applicational research to be utilized in wide variety of scientific fields.

Keywords

  • kinetics
  • autocatalysis
  • biological data analysis
  • mathematical modelling
  • compound release
  • membrane transport
  • celullar and intercelullar interactions
  • pharmacological applications
  • analytical methods
  • biochemistry

Published Papers (2 papers)

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10 pages, 1185 KiB  
Article
Thermodynamic Analysis of the Landolt-Type Autocatalytic System
by Miloslav Pekař
Catalysts 2021, 11(11), 1300; https://0-doi-org.brum.beds.ac.uk/10.3390/catal11111300 - 28 Oct 2021
Viewed by 1244
Abstract
A recent work demonstrated the example of the Landolt-type reaction system and how the simplest autocatalytic loop is described by the kinetic mass action law and proper parametrization of direct and autocatalytic pathways. Using a methodology of non-equilibrium thermodynamics, the thermodynamic consistency of [...] Read more.
A recent work demonstrated the example of the Landolt-type reaction system and how the simplest autocatalytic loop is described by the kinetic mass action law and proper parametrization of direct and autocatalytic pathways. Using a methodology of non-equilibrium thermodynamics, the thermodynamic consistency of that kinetic model is analyzed and the mass action description is generalized, including an alternative description by the empirical rate equation. Relationships between independent and dependent reactions and their rates are given. The mathematical modeling shows that following the time evolution of reaction rates provides additional insight into autocatalytic behavior. A brief note on thermodynamic driving forces and coupling with diffusion is added. In summary, this work extends and generalizes the kinetic description of the Landolt-type system, placing it within the framework of non-equilibrium thermodynamics and demonstrating its thermodynamic consistency. Full article
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12 pages, 951 KiB  
Article
Kinetic Study of 17α-Estradiol Activity in Comparison with 17β-Estradiol and 17α-Ethynylestradiol
by Tereza Bosakova, Antonin Tockstein, Zuzana Bosakova and Katerina Komrskova
Catalysts 2021, 11(5), 634; https://doi.org/10.3390/catal11050634 - 14 May 2021
Cited by 2 | Viewed by 2415
Abstract
17α-estradiol (αE2), an endogenous stereoisomer of the hormone 17β-estradiol (E2), is capable of binding to estrogen receptors (ER). We aimed to mathematically describe, using experimental data, the possible interactions between αE2 and sperm ER during the process of sperm capacitation and to develop [...] Read more.
17α-estradiol (αE2), an endogenous stereoisomer of the hormone 17β-estradiol (E2), is capable of binding to estrogen receptors (ER). We aimed to mathematically describe, using experimental data, the possible interactions between αE2 and sperm ER during the process of sperm capacitation and to develop a kinetic model. The goal was to compare the suggested kinetic model with previously published results of ER interactions with E2 and 17α-ethynylestradiol (EE2). The HPLC-MS/MS method was developed to monitor the changes of αE2 concentration during capacitation. The calculated relative concentrations Bt were used for kinetic analysis. Rate constants k and molar ratio n were optimized and used for the construction of theoretical B(t) curves. Modifications in αE2–ER interactions were discovered during comparison with models for E2 and EE2. These new interactions displayed autocatalytic formation of an unstable adduct between the hormone and the cytoplasmic receptors. αE2 accumulates between the plasma membrane lipid bilayer with increasing potential, and when the critical level is reached, αE2 penetrates through the inner layer of the plasma membrane into the cytoplasm. It then rapidly reacts with the ER and creates an unstable adduct. The revealed dynamics of αE2–ER action may contribute to understanding tissue rejuvenation and the cancer-related physiology of αE2 signaling. Full article
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