Assessing the Impact of Predictive Biosimulation on Drug Discovery and Development
Assessing the Impact of Predictive Biosimulation on Drug Discovery and Development
复制标题
评估预测生物模拟对药物发现和开发的影响
DOI：
10.1142/s0219720003000022
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发表时间：
2003
影响因子：
1
通讯作者：
S. Michelson
中科院分区：
文献类型：
--
作者：
S. Michelson
系统生物学正在为解释制药公司为支持药物开发而产生的海量基因组和蛋白质数据创造背景。虽然主要的数据收集工作利用了小型化和自动化方面的技术进步，并代表着现有实验室研究的产业化，但从心理模型到预测性计算机模拟的过渡正在为这一领域的进展设定步伐。本文介绍了目前生物系统数学建模的方法，并评估了预测性生物模拟对药物发现和开发的潜在影响。
Systems biology is creating a context for interpreting the vast amounts of genomic and proteomic data being produced by pharmaceutical companies in support of drug development. While major data collection efforts capitalize on technical advances in miniaturization and automation and represent an industrialization of existing laboratory research, the transition from mental models to predictive computer simulations is setting the pace for advances in this field. This article addresses current approaches to the mathematical modeling of biological systems and assesses the potential impact of predictive biosimulation on drug discovery and development.