Evidence map›Paper›PMID 21203848›Full record

ReviewAnnals of biomedical engineering2011

Biomedical engineering strategies in system design space.

Michael A Savageau

Abstract readReview
In one paragraph

Review in Annals of biomedical engineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. The best models of metabolism.Wiley interdisciplinary reviews. Systems biology and medicine · 2017
    Review
  2. Review
  3. Article
  4. Article
  5. Design of the lac gene circuit revisited.Mathematical biosciences · 2011
    Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Michael A SavageauDepartment of Biomedical Engineering, University of California-Davis, One Shields Avenue, Davis, CA 95616-5294, USA. masavageau@ucdavis.edu

Funding

GENE CIRCUITS AND BIOCHEMICAL NETWORKSR01GM030054 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SAVAGEAU, MICHAEL A · 1985 to 2015
$3.2M
NIGMS NIH HHS R01 GM030054NIGMS NIH HHS R01 GM30054
6 · The paper itself

Abstract

Modern systems biology and synthetic bioengineering face two major challenges in relating properties of the genetic components of a natural or engineered system to its integrated behavior. The first is the fundamental unsolved problem of relating the digital representation of the genotype to the analog representation of the parameters for the molecular components. For example, knowing the DNA sequence does not allow one to determine the kinetic parameters of an enzyme. The second is the fundamental unsolved problem of relating the parameters of the components and the environment to the phenotype of the global system. For example, knowing the parameters does not tell one how many qualitatively distinct phenotypes are in the organism's repertoire or the relative fitness of the phenotypes in different environments. These also are challenges for biomedical engineers as they attempt to develop therapeutic strategies to treat pathology or to redirect normal cellular functions for biotechnological purposes. In this article, the second of these fundamental challenges will be addressed, and the notion of a "system design space" for relating the parameter space of components to the phenotype space of bioengineering systems will be focused upon. First, the concept of a system design space will be motivated by introducing one of its key components from an intuitive perspective. Second, a simple linear example will be used to illustrate a generic method for constructing the design space in which qualitatively distinct phenotypes can be identified and counted, their fitness analyzed and compared, and their tolerance to change measured. Third, two examples of nonlinear systems from different areas of biomedical engineering will be presented. Finally, after giving reference to a few other applications that have made use of the system design space approach to reveal important design principles, some concluding remarks concerning challenges and opportunities for further development will be made.

Indexed as

AnimalsBiomechanical PhenomenaBiomedical EngineeringCell MovementCell Surface ExtensionsGenotypeMathematical ConceptsModels, BiologicalMolecular ImagingPharmacokineticsPhenotypeSystems Biology

Identifiers

PMID21203848
PMCPMC3074507

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.