↓ Skip to main content

Microbial Systems Biology

Overview of attention for book
Cover of 'Microbial Systems Biology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Flow cytometry in environmental microbiology: a rapid approach for the isolation of single cells for advanced molecular biology analysis.
  3. Altmetric Badge
    Chapter 2 Pressure Cycling Technology in Systems Biology
  4. Altmetric Badge
    Chapter 3 Targeted Isolation of Proteins from Natural Microbial Communities Living in an Extreme Environment
  5. Altmetric Badge
    Chapter 4 Bacterial Identification and Subtyping Using DNA Microarray and DNA Sequencing
  6. Altmetric Badge
    Chapter 5 Microbial Systems Biology
  7. Altmetric Badge
    Chapter 6 Genome-Wide Mapping of the Binding Sites of Proteins That Interact with DNA
  8. Altmetric Badge
    Chapter 7 Microbial Proteomics Using Mass Spectrometry
  9. Altmetric Badge
    Chapter 8 Fourier Transform Infrared Spectroscopy for Molecular Analysis of Microbial Cells
  10. Altmetric Badge
    Chapter 9 Mass Spectrometry-Based Microbial Metabolomics
  11. Altmetric Badge
    Chapter 10 Fast Sampling of the Cellular Metabolome
  12. Altmetric Badge
    Chapter 11 Microbial Systems Biology
  13. Altmetric Badge
    Chapter 12 Biolog phenotype microarrays.
  14. Altmetric Badge
    Chapter 13 NanoSIP: NanoSIMS Applications for Microbial Biology
  15. Altmetric Badge
    Chapter 14 Electrophysiological-Metabolic Modeling of Microbes: Applications in Fuel Cells and Environment Analysis
  16. Altmetric Badge
    Chapter 15 Simulating Microbial Systems: Addressing Model Uncertainty/Incompleteness via Multiscale and Entropy Methods
  17. Altmetric Badge
    Chapter 16 Bacterial Genome Annotation
  18. Altmetric Badge
    Chapter 17 Microbial Systems Biology
  19. Altmetric Badge
    Chapter 18 Development of Constraint-Based System-Level Models of Microbial Metabolism
  20. Altmetric Badge
    Chapter 19 Complex Network Analysis in Microbial Systems: Theory and Examples
  21. Altmetric Badge
    Chapter 20 Modeling a minimal cell.
Attention for Chapter 20: Modeling a minimal cell.
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
34 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Modeling a minimal cell.
Chapter number 20
Book title
Microbial Systems Biology
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-827-6_20
Pubmed ID
Book ISBNs
978-1-61779-826-9, 978-1-61779-827-6
Authors

Michael L. Shuler, Patricia Foley, Jordan Atlas

Abstract

One important aim of synthetic biology is to develop a self-replicating biological system capable of performing useful tasks. A mathematical model of a synthetic organism would greatly enhance its value by providing a platform in which proposed modifications to the system could be rapidly prototyped and tested. Such a platform would allow the explicit connection of genomic sequence information to physiological predictions. As an initial step toward this aim, a minimal cell model (MCM) has been formulated. The MCM is defined as a model of a hypothetical cell with the minimum number of genes necessary to grow and divide in an optimally supportive culture environment. It is chemically detailed in terms of genes and gene products, as well as physiologically complete in terms of bacterial cell processes (e.g., DNA replication and cell division). A mathematical framework originally developed for modeling Escherichia coli has been used to build the platform MCM. A MCM with 241 product-coding genes (those which produce protein or stable RNA products) is presented. This gene set is genomically complete in that it codes for all the functions that a minimal chemoheterotrophic bacterium would require for sustained growth and division. With this model, the hypotheses behind a minimal gene set can be tested using a chemically detailed, dynamic, whole-cell modeling approach. Furthermore, the MCM can simulate the behavior of a whole cell that depends on the cell's (1) metabolic rates and chemical state, (2) genome in terms of expression of various genes, (3) environment both in terms of direct nutrient starvation and competitive inhibition leading to starvation, and (4) genomic sequence in terms of the chromosomal locations of genes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Belarus 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Student > Ph. D. Student 6 18%
Professor > Associate Professor 4 12%
Other 3 9%
Student > Postgraduate 2 6%
Other 5 15%
Unknown 5 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 29%
Biochemistry, Genetics and Molecular Biology 5 15%
Engineering 5 15%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Chemical Engineering 1 3%
Other 4 12%
Unknown 8 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 October 2012.
All research outputs
#12,563,120
of 22,665,794 outputs
Outputs from Methods in molecular biology
#3,112
of 13,025 outputs
Outputs of similar age
#141,045
of 244,050 outputs
Outputs of similar age from Methods in molecular biology
#227
of 473 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,025 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 244,050 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 473 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.