Efficient models of polymerization applied to FtsZ ring assembly in Escherichia coli
Abstract
Our modeling framework yields accurate and computationally efficient quantitative predictions of complex kinetics of polymerization processes in biological systems. The resulting model consists of 10 differential equations, regardless of the total concentration of proteins. This is in contrast to previous polymerization models, in which the number of equations increases with the total concentrations, reaching into the thousands. Consequently, our model is orders of magnitude faster than its existing alternatives. It can be used to predict polymerization kinetics at high concentrations characteristic of in vivo processes and, especially, their compartmentalized and spatially distributed representations.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Apr 23, 2018
- Source ID
- 10.1073/pnas.1719391115
Entities
People
- Daniel M. Tartakovsky
- Terrence J. Sejnowski
- Thomas M. Bartol
- Álvaro Ruiz-martínez
Organizations
- Howard Hughes Medical Institute
- National Institute of General Medical Sciences
- National Institute of Mental Health
- National Science Foundation Division of Mathematical Sciences
- Salk Institute for Biological Studies
- Stanford University
- University of California, San Diego