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Mathematical models in physiology.

David Gavaghan¹, Alan Garny, Philip K Maini

¹Oxford University Computing Laboratory, Wolfson Building, Parks Road, Oxford OX1 3QD, UK. david.gavaghan@comlab.ox.ac.uk

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences

|April 13, 2006

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Computational modeling in biology is rapidly advancing, with most research published since 2000. This growth is driven by better tools and the need for quantitative analysis of complex biological systems.

Area of Science:

Computational Biology
Systems Biology
Physiology

Background:

Computational modeling of biological processes has grown significantly in recent years.
The number of publications has surged, with two-thirds appearing since 2000.
Advancements are fueled by improved bio-mathematical modeling tools and techniques.

Purpose of the Study:

To highlight the rapid development in computational modeling within biological research.
To showcase biocomputation and modeling in physiology as a key area of focus.
To illustrate the breadth and depth of experimental data-based model development.

Main Methods:

PubMed search analysis for "modeling OR modelling" to track publication trends.
Review of recent advancements in bio-mathematical modeling tools and techniques.

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Examination of the Physiome initiative for a comprehensive theoretical representation of biological function.

Main Results:

Over 58,000 PubMed entries for "modeling OR modelling", with over 34,000 since 2000.
A significant increase in modeling research, with most growth in the last 5-6 years.
The development of the Physiome as a public domain effort for integrated biological function.

Conclusions:

Computational modeling is a rapidly expanding field in biology.
There is an increasing demand for quantitative assessment of complex biological systems.
The journal issues focus on biocomputation and modeling in physiology, from sub-cellular to whole organ levels.