Journal
BMC BIOLOGY
Volume 10, Issue -, Pages -Publisher
BIOMED CENTRAL LTD
DOI: 10.1186/1741-7007-10-92
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Funding
- NCRR NIH HHS [RR013186] Funding Source: Medline
- NIGMS NIH HHS [GM095485] Funding Source: Medline
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Logic-derived modeling has been used to map biological networks and to study arbitrary functional interactions, and fine-grained kinetic modeling can accurately predict the detailed behavior of well-characterized molecular systems; at present, however, neither approach comes close to unraveling the full complexity of a cell. The current data revolution offers significant promises and challenges to both approaches - and could bring them together as it has spurred the development of new methods and tools that may help to bridge the many gaps between data, models, and mechanistic understanding.
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