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DTSTAMP:20260501T215801Z
UID:500404510a6b7@ist.ac.at
DTSTART:20140929T163000
DTEND:20140929T173000
DESCRIPTION:Speaker: Michael Savageau\nAbstract: The announcement of the dr
 aft sequence of the human genome revealed the true magnitude of the Grand 
 Challenge involved in relating genotype to phenotype. Although we now have
  a generic concept of ‘genotype’ provided by the detailed DNA sequence\,
  there is no corresponding generic concept of ‘phenotype’. Without a gen
 eric concept of phenotype there can be no rigorous framework for a deep un
 derstanding of the complex biochemical systems that link genotype to pheno
 type. The task of relating the two could be facilitated if these systems c
 ould be generically decomposed into a series of tractable subsystems repre
 senting the full phenotypic repertoire and if the results of their analysi
 s could be reassembled to provide insight into the original system. I will
  describe advances in a novel approach that addresses these important chal
 lenges. It provides a generic definition of phenotype and automatically id
 entifies the corresponding subsystems. The qualitatively distinct phenotyp
 es of a complex system can then be rigorously defined and counted\, their 
 fitness analyzed and compared\, their global tolerances measured\, and the
 ir biological design principles revealed. A few simple applications will b
 e used to illustrate how this approach elucidates the relationship between
  genotypically determined parameters\, environmentally determined variable
 s\, and the qualitatively distinct phenotypes of biochemical systems. This
  approach has provided quantitative understanding for a number of natural 
 systems. The global perspective on the behavioral repertoire also facilita
 tes comparisons of alternative systems and assists in the rational design 
 of synthetic constructs.
LOCATION:Raiffeisen Lecture Hall\, Central Building\, ISTA
ORGANIZER:ihetzenauer@ist.ac.at
SUMMARY:Michael Savageau: Institute Colloquium: Strategy for deconstructing
  complex systems by phenotypes
URL:https://talks-calendar.ista.ac.at/events/520
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