Literature DB >> 17370255

The rational design of biological complexity: a deceptive metaphor.

Marc H V Van Regenmortel1.   

Abstract

Biologists often claim that they follow a rational design strategy when their research is based on molecular knowledge of biological systems. This claim implies that their knowledge of the innumerable causal connections present in biological systems is sufficient to allow them to deduce and predict the outcome of their experimental interventions. The design metaphor is shown to originate in human intentionality and in the anthropomorphic fallacy of interpreting objects, events, and the behavior of all living organisms in terms of goals and purposes. Instead of presenting rational design as an effective research strategy, it would be preferable to acknowledge that advances in biomedicine are nearly always derived from empirical observations based on trial and error experimentation. The claim that rational design is an effective research strategy was tested in the case of current attempts to develop synthetic vaccines, in particular against human immunodeficiency virus. It was concluded that in this field of biomedicine, trial and error experimentation is more likely to succeed than a rational design approach. Current developments in systems biology may give us eventually a better understanding of the immune system and this may enable us in the future to develop improved vaccines.

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Year:  2007        PMID: 17370255     DOI: 10.1002/pmic.200600407

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  15 in total

1.  New horizons for the methodology and physiology of training periodization: block periodization: new horizon or a false dawn?

Authors:  John Kiely
Journal:  Sports Med       Date:  2010-09-01       Impact factor: 11.136

Review 2.  What does it mean to develop an HIV vaccine by rational design?

Authors:  Marc H V van Regenmortel
Journal:  Arch Virol       Date:  2020-11-29       Impact factor: 2.574

3.  Concept and application of a computational vaccinology workflow.

Authors:  Johannes Söllner; Andreas Heinzel; Georg Summer; Raul Fechete; Laszlo Stipkovits; Susan Szathmary; Bernd Mayer
Journal:  Immunome Res       Date:  2010-11-03

4.  A systems biology strategy on differential gene expression data discloses some biological features of atrial fibrillation.

Authors:  Federica Censi; Giovanni Calcagnini; Pietro Bartolini; Alessandro Giuliani
Journal:  PLoS One       Date:  2010-10-29       Impact factor: 3.240

5.  Basic research in HIV vaccinology is hampered by reductionist thinking.

Authors:  Marc H V Van Regenmortel
Journal:  Front Immunol       Date:  2012-07-09       Impact factor: 7.561

6.  The bottom-up approach to defining life: deciphering the functional organization of biological cells via multi-objective representation of biological complexity from molecules to cells.

Authors:  Sathish Periyasamy; Alex Gray; Peter Kille
Journal:  Front Physiol       Date:  2013-12-18       Impact factor: 4.566

Review 7.  An Outdated Notion of Antibody Specificity is One of the Major Detrimental Assumptions of the Structure-Based Reverse Vaccinology Paradigm, Which Prevented It from Helping to Develop an Effective HIV-1 Vaccine.

Authors:  Marc H V Van Regenmortel
Journal:  Front Immunol       Date:  2014-11-18       Impact factor: 7.561

8.  Editorial: Paradigm Changes are Required in HIV Vaccine Research.

Authors:  Marc H V Van Regenmortel
Journal:  Front Immunol       Date:  2015-06-23       Impact factor: 7.561

9.  Detecting the Hidden Properties of Immunological Data and Predicting the Mortality Risks of Infectious Syndromes.

Authors:  S Chatzipanagiotou; A Ioannidis; E Trikka-Graphakos; N Charalampaki; C Sereti; R Piccinini; A M Higgins; T Buranda; R Durvasula; A L Hoogesteijn; G P Tegos; Ariel L Rivas
Journal:  Front Immunol       Date:  2016-06-10       Impact factor: 7.561

Review 10.  Structure-Based Reverse Vaccinology Failed in the Case of HIV Because it Disregarded Accepted Immunological Theory.

Authors:  Marc H V Van Regenmortel
Journal:  Int J Mol Sci       Date:  2016-09-21       Impact factor: 5.923

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