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First Steps in Computational Systems Biology:A PRACTICAL SESSION IN METABOLIC MODELING AND SIMULATION

机译:计算系统生物学的第一步:代谢建模与模拟的实践环节

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A comprehensive understanding of biological functions requires new systemic perspectives, such as those provided by systems biology. Systems biology approaches are hypothesis-driven and involve iterative rounds of model building, prediction, experimentation, model refinement, and development. Developments in computer science are allowing for ever faster numerical simulations of mathematical models. Mathematical modeling plays an essential role in new systems biology approaches. As a complex, integrated system, metabolism is a suitable topic of study for systems biology approaches. However, up until recently, this topic has not been properly covered in biochemistry courses. This communication reports the development and implementation of a practical lesson plan on metabolic modeling and simulation.
机译:对生物学功能的全面理解需要新的系统观点,例如系统生物学提供的观点。系统生物学方法是假设驱动的,并且涉及模型构建,预测,实验,模型完善和开发的迭代轮次。计算机科学的发展允许对数学模型进行更快的数值模拟。数学建模在新系统生物学方法中起着至关重要的作用。作为一个复杂的集成系统,新陈代谢是系统生物学方法研究的合适主题。然而,直到最近,该主题还没有在生物化学课程中适当地涵盖。该交流报告了有关代谢建模和模拟的实际课程计划的开发和实施。

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