Chapter title |
Complexity of Biochemical and Genetic Responses Reduced Using Simple Theoretical Models
|
---|---|
Chapter number | 9 |
Book title |
Systems Biology
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7456-6_9 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7455-9, 978-1-4939-7456-6
|
Authors |
Kumar Selvarajoo |
Abstract |
Living systems are known to behave in a complex and sometimes unpredictable manner. Humans, for a very long time, have been intrigued by nature, and have attempted to understand biological processes and mechanisms using numerous experimental and mathematical techniques. In this chapter, we will look at simple theoretical models, using both linear and nonlinear differential equations, that realistically capture complex biochemical and genetic responses of living cells. Even for cases where cellular behaviors are stochastic, as for single-cell responses, randomness added to well-defined deterministic models has elegantly been shown to be useful. The data collectively present evidence for further exploration of the self-organizing rules and laws of living matter. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 44% |
Student > Ph. D. Student | 1 | 11% |
Other | 1 | 11% |
Unknown | 3 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 2 | 22% |
Biochemistry, Genetics and Molecular Biology | 1 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 11% |
Agricultural and Biological Sciences | 1 | 11% |
Engineering | 1 | 11% |
Other | 0 | 0% |
Unknown | 3 | 33% |