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Related Concept Videos

The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the power flow program computes the...
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
Sample Preparation for Analysis: Advanced Techniques01:08

Sample Preparation for Analysis: Advanced Techniques

Accurate analysis of complex samples often requires advanced preparation techniques to achieve reliable and reproducible results. Samples containing inorganic or organic materials can be challenging to dissolve or decompose effectively. Standard sample preparation methods include acid digestion, fusion, dry ashing, and wet digestion.
Acid digestion with strong acids is commonly used to dissolve inorganic materials that are insoluble (do not dissolve) in water. This method can be useful for...
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Calculation of Electric Flux

Consider the electric field of an oppositely charged, parallel-plate system and an imaginary box between those plates. Let the bottom face of the box be ABCD, and the top face be FGHK. The electric field between the plates is uniform and points from the positive plate toward the negative plate. The calculation of this field's flux through the box's various faces shows that the net flux through the box is zero. Why does the flux cancel out here?

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Software applications for flux balance analysis.

Meiyappan Lakshmanan1, Geoffrey Koh, Bevan K S Chung

  • 1Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117576; Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), 20 Biopolis Way, #06-01, Centros, Singapore 138668. Tel.: +65-6516-6907; Fax: +65-6779-1936; cheld@nus.edu.sg.

Briefings in Bioinformatics
|November 8, 2012
PubMed
Summary
This summary is machine-generated.

This study evaluates Flux Balance Analysis (FBA) software tools, highlighting usability, functionality, and advanced features for metabolic engineering. The analysis aids researchers in selecting optimal computational tools for cellular metabolism characterization and strain design.

Keywords:
FBA toolsflux balance analysis (FBA)genome-scale model reconstructionsystems biologyweb applications

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Area of Science:

  • Computational Biology
  • Systems Biology
  • Metabolic Engineering

Background:

  • Flux Balance Analysis (FBA) is a key computational method for understanding and engineering cellular metabolism.
  • The proliferation of FBA software tools necessitates a comprehensive evaluation of their capabilities and limitations.
  • Software availability significantly contributes to the growing application and popularity of FBA.

Purpose of the Study:

  • To provide an in-depth evaluation of current Flux Balance Analysis (FBA) software applications.
  • To compare FBA tools based on usability, functionality, graphical representation, and interoperability.
  • To guide researchers and developers in selecting and improving FBA computational tools.

Main Methods:

  • Systematic review and comparative analysis of existing FBA software.
  • Assessment of features including model creation, simulation, advanced algorithms, user interface, and extensibility.
  • Evaluation of web-based services and genome-scale metabolic model reconstruction capabilities.

Main Results:

  • Most FBA tools support basic model creation and simulation.
  • COBRA toolbox, OptFlux, and FASIMU excel in advanced algorithms for strain design.
  • User-friendly interfaces are offered by SurreyFBA, WEbcoli, Acorn, FAME, GEMSiRV, and MetaFluxNet.
  • FBA-SimVis and OptFlux provide flexible architectures with plug-in features.
  • Web-based FBA applications increasingly offer e-services like model repositories.
  • Recent tools (Model SEED, FAME, MetaFlux, MicrobesFlux) facilitate genome-scale model reconstruction.

Conclusions:

  • A diverse range of FBA tools exists, catering to different user needs from basic simulations to advanced strain engineering.
  • The trend is towards more integrated, user-friendly, and extensible FBA solutions, including web-based platforms and automated model reconstruction.
  • Future FBA tool development should consider enhanced e-services, collaborative features, and streamlined genome-scale model reconstruction.