Literature DB >> 22919435

Predictive Modeling and Integrative Physiology: The Physiome Projects.

James B Bassingthwaighte1.   

Abstract

The fundamental paradigm in physiological research is integration. Biological researchers are now ready to define for a species a mathematical construct, the Physiome, the all-encompassing quantitative model of an organism. The goal of the human Physiome project is improved health care, through deep understanding of the organism, all the way down to the genes, reconciling contradictions and clarifying cause and effect. The strategies for accomplishing this long term aim include the systematic gathering of old and new knowledge into shared databases, and integrating the information into self consistent, reproducible, mathematical models. Multiscale models, for practicality, cover only a few levels at a time. Beginning at the middle level, the cell, where the knowledge base is largest and most secure, and the elements well defined as functional biophysical/biochemical modules, the plan is to work up to the organism level and down to the gene level, in the end providing clear linkages between phenotype and the genome.

Entities:  

Year:  2010        PMID: 22919435      PMCID: PMC3423967          DOI: 10.2174/1876536X01003010066

Source DB:  PubMed          Journal:  Open Pacing Electrophysiol Ther J


  35 in total

Review 1.  The human physiome as an information environment.

Authors:  N Dao; P J McCormick; C F Dewey
Journal:  Ann Biomed Eng       Date:  2000-08       Impact factor: 3.934

2.  Na(+) channel mutation that causes both Brugada and long-QT syndrome phenotypes: a simulation study of mechanism.

Authors:  Colleen E Clancy; Yoram Rudy
Journal:  Circulation       Date:  2002-03-12       Impact factor: 29.690

3.  The strong-inference protocol: not just for grant proposals.

Authors:  Sara M Hiebert
Journal:  Adv Physiol Educ       Date:  2007-03       Impact factor: 2.288

4.  Theory of the measurement of blood flow by the dilution of an indicator.

Authors:  J L STEPHENSON
Journal:  Bull Math Biophys       Date:  1948-09

5.  Improved guinea-pig ventricular cell model incorporating a diadic space, IKr and IKs, and length- and tension-dependent processes.

Authors:  D Noble; A Varghese; P Kohl; P Noble
Journal:  Can J Cardiol       Date:  1998-01       Impact factor: 5.223

6.  Blood-tissue exchange via transport and transformation by capillary endothelial cells.

Authors:  J B Bassingthwaighte; C Y Wang; I S Chan
Journal:  Circ Res       Date:  1989-10       Impact factor: 17.367

7.  Circulatory transport and the convolution integral.

Authors:  J B Bassingthwaighte
Journal:  Mayo Clin Proc       Date:  1967-03       Impact factor: 7.616

8.  Toward modeling the human physionome.

Authors:  J B Bassingthwaighte
Journal:  Adv Exp Med Biol       Date:  1995       Impact factor: 2.622

Review 9.  From genome to physiome: integrative models of cardiac excitation.

Authors:  Y Rudy
Journal:  Ann Biomed Eng       Date:  2000-08       Impact factor: 3.934

Review 10.  The Cardiac Physiome: perspectives for the future.

Authors:  James Bassingthwaighte; Peter Hunter; Denis Noble
Journal:  Exp Physiol       Date:  2008-12-19       Impact factor: 2.969

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  2 in total

1.  Mapping conduction velocity of early embryonic hearts with a robust fitting algorithm.

Authors:  Shi Gu; Yves T Wang; Pei Ma; Andreas A Werdich; Andrew M Rollins; Michael W Jenkins
Journal:  Biomed Opt Express       Date:  2015-05-18       Impact factor: 3.732

Review 2.  Multiscale computational models of complex biological systems.

Authors:  Joseph Walpole; Jason A Papin; Shayn M Peirce
Journal:  Annu Rev Biomed Eng       Date:  2013-04-29       Impact factor: 9.590

  2 in total

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