Literature DB >> 14744120

The macro-ethics of genomics to health: the physiome project.

James B Bassingthwaighte1.   

Abstract

Advances in pharmacology and genomics, and their intervention in human biology are beyond our abilities to understand their consequences. Therapeutic intervention in highly complex, non-linear, adaptive biological systems results in some unforeseen and undesirable consequences. To do the most good with the least harm, the information on biological systems should be gathered into databases, and into comprehensive quantitative models that can help to predict the long-range effects of proposed interventions. This is a societal or professional macro-ethical imperative. The Physiome Project helps to meet this imperative via databasing and creating models and tools for large-scale integration.

Entities:  

Keywords:  Biomedical and Behavioral Research; Genetics and Reproduction

Mesh:

Year:  2003        PMID: 14744120      PMCID: PMC2863995          DOI: 10.1016/j.crvi.2003.09.006

Source DB:  PubMed          Journal:  C R Biol        ISSN: 1631-0691            Impact factor:   1.583


  5 in total

1.  An analysis of the Protein Data Bank in search of temporal and global trends.

Authors:  H Weissig; P E Bourne
Journal:  Bioinformatics       Date:  1999-10       Impact factor: 6.937

Review 2.  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

3.  Strong Inference: Certain systematic methods of scientific thinking may produce much more rapid progress than others.

Authors:  J R Platt
Journal:  Science       Date:  1964-10-16       Impact factor: 47.728

4.  Toward modeling the human physionome.

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

Review 5.  Strategies for the physiome project.

Authors:  J B Bassingthwaighte
Journal:  Ann Biomed Eng       Date:  2000-08       Impact factor: 3.934

  5 in total

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