Gavaghan David, Garny Alan, Maini Philip K, Kohl Peter
Oxford University Computing Laboratory, Wolfson Building, Parks Road, Oxford OX1 3QD, UK.
Philos Trans A Math Phys Eng Sci. 2006 May 15;364(1842):1099-106. doi: 10.1098/rsta.2006.1757.
Computational modelling of biological processes and systems has witnessed a remarkable development in recent years. The search-term (modelling OR modeling) yields over 58000 entries in PubMed, with more than 34000 since the year 2000: thus, almost two-thirds of papers appeared in the last 5-6 years, compared to only about one-third in the preceding 5-6 decades. The development is fuelled both by the continuously improving tools and techniques available for bio-mathematical modelling and by the increasing demand in quantitative assessment of element inter-relations in complex biological systems. This has given rise to a worldwide public domain effort to build a computational framework that provides a comprehensive theoretical representation of integrated biological function-the Physiome. The current and next issues of this journal are devoted to a small sub-set of this initiative and address biocomputation and modelling in physiology, illustrating the breadth and depth of experimental data-based model development in biological research from sub-cellular events to whole organ simulations.
近年来，生物过程和系统的计算建模取得了显著进展。搜索词（modelling 或 modeling）在PubMed中产生了超过58000条记录，自2000年以来有超过34000条：因此，近三分之二的论文出现在过去5 - 6年，而在之前的5 - 6十年中仅约三分之一。这种发展既受到生物数学建模可用工具和技术不断改进的推动，也受到对复杂生物系统中元素相互关系进行定量评估的需求不断增加的推动。这引发了一项全球公共领域的努力，以构建一个计算框架，该框架提供综合生物功能——生理组的全面理论表示。本期刊的当前和下一期致力于该倡议的一个小子集，并探讨生理学中的生物计算和建模，展示了从亚细胞事件到全器官模拟的生物研究中基于实验数据的模型开发的广度和深度。
