BAFBA statistics

Tool stats & trends

Looking to identify usage trends or leading experts?

Protocols

BAFBA specifications

Information


Unique identifier OMICS_06462
Name BAFBA
Alternative name Bees Algorithm and Flux Balance Analysis

Maintainer


This tool is not maintained anymore.

Publication for Bees Algorithm and Flux Balance Analysis

BAFBA citations

 (3)
call_split

Gene Knockout Identification Using an Extension of Bees Hill Flux Balance Analysis

2015
Biomed Res Int
PMCID: 4385639
PMID: 25874200
DOI: 10.1155/2015/124537
call_split See protocol

[…] In this study, we used E. coli, B. subtilis, and C. thermocellum models to test the operation of the extension of BHFBA. E. coli iJR904 (http://bigg.ucsd.edu/) was used to test the operation of BAFBA []. The E. coli model contains 904 genes, 931 unique biochemical reactions, and 761 metabolites. We used E. coli iJR904 in this work to test the reliability of BHFBA because this model was used […]

library_books

Structural and Functional Characterization of Methicillin Resistant Staphylococcus aureus’s Class IIb Fructose 1,6 Bisphosphate Aldolase

2014
Biochemistry
PMCID: 4263427
PMID: 25390935
DOI: 10.1021/bi501141t

[…] d a score of 0.80 indicating that they likely belong to a single subtype., Intriguingly, when SaFBA was run through the PISA server it was shown to be most similar to the FBA from Bacillus anthracis (BaFBA) with a score of 0.88 and when compared to GlFBA both SaFBA and BaFBA scored roughly 0.70 implying that SaFBA and BaFBA likely fall into their own subtype. Using SaFBA along with the recent depo […]

call_split

Differential Bees Flux Balance Analysis with OptKnock for In Silico Microbial Strains Optimization

2014
PLoS One
PMCID: 4105462
PMID: 25047076
DOI: 10.1371/journal.pone.0102744
call_split See protocol

[…] shows the flow of BAFBA. BAFBA is initialized by mimicking a population of bees. In identifying gene knockout strategies, a bee is represented by a binary variable to indicate the absence or the presence of genes in th […]

Citations

Looking to check out a full list of citations?

BAFBA institution(s)
Artificial Intelligence and Bioinformatics Research Group, Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia

BAFBA reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review BAFBA