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PMID: 12788545 Published · ppublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Building with a scaffold: emerging strategies for high- to low-level cellular modeling.

Trends in biotechnology ·Vol. 21 ·No. 6 ·2003-06-00 ·Pages 255-62

Ideker T, Lauffenburger D

Abstract

Computational cellular models are becoming crucial for the analysis of complex biological systems. An important new paradigm for cellular modeling involves building a comprehensive scaffold of molecular interactions and then mining this scaffold to reveal a hierarchy of signaling, regulatory and metabolic pathways. We review the important trends that make this approach feasible and describe how they are spurring the development of models at multiple levels of abstraction. Pathway maps can be extracted from the scaffold using "high-level" computational models, which identify the key components, interactions and influences required for more detailed "low-level" models. Large-scale experimental measurements validate high-level models, whereas targeted experimental manipulations and measurements test low-level models.

MeSH Terms
Cell Physiological Phenomena Combinatorial Chemistry Techniques Computer Simulation Gene Expression Regulation/physiology Metabolism/physiology Models, Biological Proteome/physiology Proteomics/methods Reproducibility of Results Research Design Sensitivity and Specificity Species Specificity Systems Theory
Chemicals
Proteome
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Ideker Trey
Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA. [email protected]
Lauffenburger Douglas
Article Info
Journal
Trends in biotechnology
Abbr.
Trends Biotechnol
ISSN
0167-7799
Published
2003-06-00
Pages
255-62
Language
English
Region
England
NLM ID
8310903
Subset
IM
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