期刊
BRIEFINGS IN BIOINFORMATICS
卷 11, 期 1, 页码 15-29出版社
OXFORD UNIV PRESS
DOI: 10.1093/bib/bbp057
关键词
network analysis; network dynamics; interaction networks; systems biology
资金
- National Institutes of Health [GM076275, LM009411, HD058880]
- National Library of Medicine
- National Science Foundation [CCF-0542187]
- National Institutes of Health Center of Excellence [P50 GM071508]
- EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT [R01HD058880] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM076275, P50GM071508] Funding Source: NIH RePORTER
- NATIONAL LIBRARY OF MEDICINE [R21LM009411, ZIALM200887] Funding Source: NIH RePORTER
Dynamic molecular interactions play a central role in regulating the functioning of cells and organisms. The availability of experimentally determined large-scale cellular networks, along with other high-throughput experimental data sets that provide snapshots of biological systems at different times and conditions, is increasingly helpful in elucidating interaction dynamics. Here we review the beginnings of a new subfield within computational biology, one focused on the global inference and analysis of the dynamic interactome. This burgeoning research area, which entails a shift from static to dynamic network analysis, promises to be a major step forward in our ability to model and reason about cellular function and behavior.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据