title: A methodology for simulating biological systems using Microsoft Excel.
abstract: The objective of this present study was to develop a simple, easily understood methodology for solving biologically based models using a Microsoft Excel spreadsheet. The method involves the use of in-cell formulas in which Rows and Columns of new data are generated from data typed into the spreadsheet, but does not require any programming skills or use of the macro language. The approach involves entering the key parameter values into the spreadsheet and conducting the simulation by solving a set of equations based on these parameter values. The examples used in this paper are firstly, a simple voltage clamp simulation in which initial parameter values are used to calculate a system in steady state. The second example is a current clamp simulation where steady state is not reached and the solution of the equations for each time increment is used as the input for the next time increment in the simulation. The calculations are based on the Hodgkin Huxley mathematical equations that describe the voltage dependence of ion channel behavior. The problems and flexibility of the method are briefly discussed. The methodology developed in this present study should help novice modelers to create simple simulations without the need to learn a programming language or purchase expensive software.
authors: Department of Neurology, University of Washington School of Medicine, Seattle 98195-6465, USA. ambrown@u.washington.edu
authors: A M
authors: AM
authors: Brown
mesh_terms: D003196:Computer Graphics; D015640:Ion Channel Gating; D008954:Models, Biological; D009716:Numerical Analysis, Computer-Assisted; D018408:Patch-Clamp Techniques; D011381:Programming Languages; D012985:Software Design