Journal
JOURNAL OF EXPERIMENTAL BIOLOGY
Volume 210, Issue 9, Pages 1576-1583Publisher
COMPANY BIOLOGISTS LTD
DOI: 10.1242/jeb.000133
Keywords
physiome; mathematical modelling; cardiac; multi-scale
Categories
Funding
- NHLBI NIH HHS [T32 HL007403, T32 HL007403-24] Funding Source: Medline
- NIBIB NIH HHS [EB005825, R01 EB005825] Funding Source: Medline
Ask authors/readers for more resources
Predicting information about human physiology and pathophysiology from genomic data is a compelling, but unfulfilled goal of post-genomic biology. This is the aim of the so-called Physiome Project and is, undeniably, an ambitious goal. Yet if we can exploit even a small proportion of the rich and varied experimental data currently available, significant insights into clinically important aspects of human physiology will follow. To achieve this requires the integration of data from disparate sources into a common framework. Extrapolation of available data across species, laboratory techniques and conditions requires a quantitative approach. Mathematical models allow us to integrate molecular information into cellular, tissue and organ-level, and ultimately clinically relevant scales. In this paper we argue that biophysically detailed computational modelling provides the essential tool for this process and, furthermore, that an appropriate framework for annotating, databasing and critiquing these models will be essential for the development of integrative computational biology.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available