Chapter title |
Computational Modeling of the Dynamics of Spatiotemporal Rho GTPase Signaling: A Systematic Review
|
---|---|
Chapter number | 1 |
Book title |
Rho GTPases
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-8612-5_1 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8611-8, 978-1-4939-8612-5
|
Authors |
Shabnam Khatibi, Karina Islas Rios, Lan K. Nguyen, Khatibi, Shabnam, Rios, Karina Islas, Nguyen, Lan K. |
Abstract |
The Rho family of GTPases are known to play pivotal roles in the regulation of fundamental cellular processes, ranging from cell migration and polarity to wound healing and regulation of actin cytoskeleton. Over the past decades, accumulating experimental work has increasingly mapped out the mechanistic details and interactions between members of the family and their regulators, establishing detailed interaction circuits within the Rho GTPase signaling network. These circuits have served as a vital foundation based on which a multitude of mathematical models have been developed to explain experimental data, gain deeper insights into the biological phenomenon they describe, as well as make new testable predictions and hypotheses. Due to the diverse nature and purpose of these models, they often vary greatly in size, scope, complexity, and formulation. Here, we provide a systematic, categorical, and comprehensive account of the recent modeling studies of Rho family GTPases, with an aim to offer a broad perspective of the field. The modeling limitations and possible future research directions are also discussed. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 2 | 18% |
Student > Bachelor | 2 | 18% |
Student > Doctoral Student | 1 | 9% |
Student > Ph. D. Student | 1 | 9% |
Researcher | 1 | 9% |
Other | 0 | 0% |
Unknown | 4 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 3 | 27% |
Biochemistry, Genetics and Molecular Biology | 2 | 18% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 9% |
Social Sciences | 1 | 9% |
Medicine and Dentistry | 1 | 9% |
Other | 0 | 0% |
Unknown | 3 | 27% |