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Biosimulation is becoming increasingly important for drug development. [1] Since on average only 11% of all drug candidates are approved, [2] it is anticipated that biosimulation may be the tool to predict whether a candidate drug will fail in the development process e.g. in clinical trials due to adverse side effects, bad pharmacokinetics or even toxicity.
Creating a cellular model has been a particularly challenging task of systems biology and mathematical biology. It involves the use of computer simulations of the many cellular subsystems such as the networks of metabolites, enzymes which comprise metabolism and transcription, translation, regulation and induction of gene regulatory networks. [4]
How these numerical simulations are performed, is determined through a number of "Applications", which specify whether simulations will be deterministic or stochastic, and spatial or compartmental; multiple "Applications" can also specify initial concentrations, diffusion coefficients, flow rates and a variety of modeling assumptions.
PhET Interactive Simulations is part of the University of Colorado Boulder which is a member of the Association of American Universities. [10] The team changes over time and has about 16 members consisting of professors, post-doctoral students, researchers, education specialists, software engineers (sometimes contractors), educators, and administrative assistants. [11]
Since the year 2000, an estimate or simulation of HbA 1c levels has been incorporated within the AIDA program. [16] This offers people with diabetes, their relatives, students, health-care professionals and other users an indication of what the HbA 1c level might be if the simulated blood glucose profile was maintained for 2–3 months.
In a simulation, given a starting vector (list of the values of the variables), the progression of the system is calculated by solving the equations at each time-frame in small increments. In analysis, the properties of the equations are used to investigate the behavior of the system depending on the values of the parameters and variables.
Remote laboratory (also known as online laboratory or remote workbench) is the use of telecommunications to remotely conduct real (as opposed to virtual) experiments, at the physical location of the operating technology, whilst the scientist is utilizing technology from a separate geographical location.
Scientific modelling is an activity that produces models representing empirical objects, phenomena, and physical processes, to make a particular part or feature of the world easier to understand, define, quantify, visualize, or simulate.
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