Asset Details
Do you wish to reserve the book?
Understanding Actin Organization in Cell Structure through Lattice Based Monte Carlo Simulations
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Understanding Actin Organization in Cell Structure through Lattice Based Monte Carlo Simulations
Do you wish to request the book?
Understanding Actin Organization in Cell Structure through Lattice Based Monte Carlo Simulations
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Understanding Actin Organization in Cell Structure through Lattice Based Monte Carlo Simulations
2004
Overview
Understanding the connection between mechanics and cell structure requires the exploration of the key molecular constituents responsible for cell shape and motility. One of these molecular bridges is the cytoskeleton, which is involved with intracellular organization and mechanotransduction. In order to examine the structure in cells, we have developed a computational technique that is able to probe the self-assembly of actin filaments through a lattice based Monte Carlo method. We have modeled the polymerization of these filaments based upon the interactions of globular actin through a probabilistic model encompassing both inert and active proteins. The results show similar response to classic ordinary differential equations at low molecular concentrations, but a bi-phasic divergence at realistic concentrations for living mammalian cells. Further, by introducing localized mobility parameters, we are able to simulate molecular gradients that are observed in non-homogeneous protein distributionsin vivo. The method and results have potential applications in cell and molecular biology as well as self-assembly for organic and inorganic systems.
Publisher
Tech Science Press
