期刊
ANNUAL REVIEW OF BIOMEDICAL ENGINEERING, VOL 15
卷 15, 期 -, 页码 137-154出版社
ANNUAL REVIEWS
DOI: 10.1146/annurev-bioeng-071811-150104
关键词
data integration; model validation; systems biology; bioinformatics; biochemical networks; model design
资金
- NCI NIH HHS [P30 CA044579] Funding Source: Medline
- NHLBI NIH HHS [HL082838, R01 HL082838] Funding Source: Medline
- NIGMS NIH HHS [R01 GM088244] Funding Source: Medline
Integration of data across spatial, temporal, and functional scales is a primary focus of biomedical engineering efforts. The advent of powerful computing platforms, coupled with quantitative data from high-throughput experimental methodologies, has allowed multiscale modeling to expand as a means to more comprehensively investigate biological phenomena in experimentally relevant ways. This review aims to highlight recently published multiscale models of biological systems, using their successes to propose the best practices for future model development. We demonstrate that coupling continuous and discrete systems best captures biological information across spatial scales by selecting modeling techniques that are suited to the task. Further, we suggest how to leverage these multiscale models to gain insight into biological systems using quantitative biomedical engineering methods to analyze data in nonintuitive ways. These topics are discussed with a focus on the future of the field, current challenges encountered, and opportunities yet to be realized.
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