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Related Concept Videos

Synthetic Biology02:55

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
Cell Signaling Feedback Loops01:07

Cell Signaling Feedback Loops

Positive and negative feedback loops are crucial for regulating biological signaling systems. These feedback loops are processes that connect output signals to their inputs.
Negative feedback loops
Most signaling systems have negative feedback loops that can perform different functions such as output limiter, and adaptation.
Output limiter
Upon receiving an input signal, the cellular response rapidly increases until a threshold is reached. Beyond this threshold, a negative feedback loop...
Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model01:14

Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model

The link model is a fundamental pharmacokinetic-pharmacodynamic (PK–PD) approach to account for delayed drug responses when the observed effect does not immediately correlate with the drug's plasma concentration peak. This delay is mathematically addressed by introducing an effect compartment concentration, Ce, which is kinetically linked to the plasma concentration, Cp, via a first-order rate constant, ke0. The linkage allows for a more accurate prediction of drug effects over time. A higher...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this particular...
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
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Related Experiment Video

Updated: Jun 8, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

Toward failure analyses in systems biology.

Sanjoy K Bhattacharya1, James Gomes2, Colleen M Cebulla3

  • 1Bascom Palmer Eye Institute, University of Miami, FL, USA.

Wiley Interdisciplinary Reviews. Systems Biology and Medicine
|September 14, 2010
PubMed
Summary
This summary is machine-generated.

Analyzing biological system failures is challenging due to numerous components and difficulty identifying key variables. Developing contour level maps and identifying operation variables are crucial for accurate biological failure analysis.

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Last Updated: Jun 8, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

Area of Science:

  • Systems Biology
  • Engineering Failure Analysis
  • Computational Biology

Background:

  • Designed systems utilize limited, high-predictive parameters for failure analysis.
  • Biological systems present challenges in identifying accurate operation variables for failure prediction.
  • Current biological failure models often rely on limited, unilateral variables, like single gene mutations.

Purpose of the Study:

  • To explore parallels between designed and biological systems in formal failure analyses.
  • To highlight the difficulties in parameter identification within complex biological systems.
  • To propose a framework for enhancing biological failure analysis through improved variable identification.

Main Methods:

  • Comparative analysis of failure analysis methodologies in designed versus biological systems.
  • Identification of challenges in parameterizing biological systems at various organizational levels (compartment, contour).
  • Conceptualization of contour level mapping for biological systems.

Main Results:

  • Designed systems have well-defined parameters for failure analysis, unlike biological systems.
  • Biological systems possess a high number of components, complicating variable identification and prediction accuracy.
  • Contour level maps for biological systems are currently absent, hindering comprehensive failure analysis.

Conclusions:

  • Accurate failure analysis in biological systems requires robust identification of operation variables.
  • The development of contour level maps is essential for a more complete understanding of biological system failures.
  • Improved parameter identification within contour levels will significantly advance failure analyses of complex biological systems.