Department of Surgery, Northwestern University, Chicago, IL 60611.
Center for Inflammation and Regenerative Modeling, McGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA 15219.
Wiley Interdiscip Rev Syst Biol Med. 2009 Sep-Oct;1(2):159-171. doi: 10.1002/wsbm.45.
Effective translational methodologies for knowledge representation are needed in order to make strides against the constellation of diseases that affect the world today. These diseases are defined by their mechanistic complexity, redundancy, and nonlinearity. Translational systems biology aims to harness the power of computational simulation to streamline drug/device design, simulate clinical trials, and eventually to predict the effects of drugs on individuals. The ability of agent-based modeling to encompass multiple scales of biological process as well as spatial considerations, coupled with an intuitive modeling paradigm, suggests that this modeling framework is well suited for translational systems biology. This review describes agent-based modeling and gives examples of its translational applications in the context of acute inflammation and wound healing.
为了在当今世界影响人类的各种疾病中取得进展，需要有效的知识表示转化方法。这些疾病的特点是机制复杂、冗余和非线性。转化系统生物学旨在利用计算模拟的力量来简化药物/设备设计、模拟临床试验，最终预测药物对个体的影响。基于代理的建模能够包含多个生物学过程的尺度以及空间考虑因素，加上直观的建模范例，这表明该建模框架非常适合转化系统生物学。本文综述了基于代理的建模，并举例说明了其在急性炎症和伤口愈合方面的转化应用。
