General Monte Carlo Computer Simulation of Subcellular Biochemical Signaling

亚细胞生化信号转导的通用蒙特卡罗计算机模拟

基本信息

批准号：
9603611
负责人：
Terrence Sejnowski
金额：
$ 44.88万
依托单位：
The Salk Institute for Biological Studies
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
1997
资助国家：
美国
起止时间：
1997-04-01 至 2001-04-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9603611&HistoricalAwards=false
关键词：
General Monte Carlo Computer Simulation

项目摘要

9603611 Sejnowski MCell is a general purpose software tool that allows users to accurately simulate a wide variety of the signaling processes carried out by living cells. Many cells secrete signal molecules that are detected by receptor molecules on the surfaces of other cells. Since this involves diffusion of the signal molecule over a distance between the cells, it is necessary to take into account the shapes of the cells and the locations of the molecules to accurately predict the speed and strength of signaling. MCell is unique in its generality and in the way it simulates cellular signaling using random numbers and probabilities, a so-called "Monte Carlo" method. MCell has already been used to simulate synapses, which are specialized microscopic structures where communication takes place between nerve cells, called neurons. It can also be used for more general cellular signaling between and within cells, not just neurons, so it will be useful to a wide range of scientists who are interested in problems such as how cells divide and how this process may be subverted in the case of cancer. MCell will be tested initially by a group of scientists who want to use it to answer questions that arise in their research into signaling between neurons. This will help in making the program easier to use and more flexible in its application to an even wider range of biological and chemical problems. Two educational workshops will be held to teach scientists how to use MCell and to exchange ideas and results obtained with MCell.

9603611 Sejnowski McEll是一种通用软件工具，它允许用户准确模拟活细胞进行的各种信号传导过程。许多细胞分泌由受体分子在其他细胞表面上检测到的信号分子。由于这涉及信号分子在细胞之间的距离上的扩散，因此有必要考虑细胞的形状和分子的位置，以准确预测信号传导的速度和强度。 McEll的通用性是独一无二的，并且使用随机数和概率（一种所谓的“ Monte Carlo”方法）模拟细胞信号传导的方式。 McEll已经被用于模拟突触，这些突触是在神经细胞之间发生通信（称为神经元）的专门显微镜结构。它也可以用于细胞之间和内部更通用的细胞信号，而不仅仅是神经元，因此对于对诸如细胞如何分裂以及在癌症情况下如何颠覆诸如诸如细胞如何划分以及如何颠覆之类的问题感兴趣的广泛科学家将是有用的。最初，一群科学家将对麦克尔进行测试，他们想使用它来回答他们对神经元之间信号的研究中出现的问题。这将有助于使该程序更易于使用，并在其应用于更广泛的生物学和化学问题方面更加灵活。将举办两个教育研讨会，教科学家如何使用McEll以及与McEll获得的想法和结果交换。