Artikel
Open Access
Reaction Rate Theory-Based Mathematical Approximation for the Amount of Time it Takes For Cellular Respiration to Occur
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Archit Chaturvedi
Veröffentlicht/Copyright:
18. Februar 2022
Received: 2021-11-11
Accepted: 2022-01-29
Published Online: 2022-02-18
© 2022 Archit Chaturvedi, published by De Gruyter
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Schlagwörter für diesen Artikel
Reaction Rate Theory;
Collision Theory;
Marcus Theory;
Michaelis-Menten Kinetics;
Cellular Respiration;
Theoretical Biochemistry;
Theoretical Biophysics
Creative Commons
BY 4.0
Artikel in diesem Heft
- COVID-19 and Dynamics of Infectious Diseases
- Modeling, Analysis and Physics Informed Neural Network approaches for studying the dynamics of COVID-19 involving human-human and human-pathogen interaction
- A surrogate Bayesian framework for a SARS-CoV-2 data driven stochastic model
- Global stability dynamics and sensitivity assessment of COVID-19 with timely-delayed diagnosis in Ghana
- Modeling for COVID-19 Decision Making in Health Policy Evaluation
- A systematic review, meta-analysis and economic evaluation on Neonatal cpap
- A Mathematical Model for Blood Flow Accounting for the Hematological Disorders
- Modeling and prediction of the third wave of COVID-19 spread in India
- Age Structured Mathematical Modeling Studies on COVID-19 with respect to Combined Vaccination and Medical Treatment Strategies
- Regular Articles
- Reaction Rate Theory-Based Mathematical Approximation for the Amount of Time it Takes For Cellular Respiration to Occur
- Evolutionary trend of SARS-CoV-2 inferred by the homopolymeric nucleotide repeats
- Derangement model of ligand-receptor binding
- Impact of disease on a two-patch eco-epidemic model in presence of prey dispersal
- Optimal Control for a Tuberculosis Model with Exogenous Reinfection under the Influence of Stigma
- Neighborhood hypergraph model for topological data analysis
- Regulation of Lysosomal Associated Membrane Protein 3 (LAMP3) in Lung Epithelial Cells by Coronaviruses (SARS-CoV-1/2) and Type I Interferon Signaling
