Literature DB >> 27857678

PyBact: an algorithm for bacterial identification.

Chanin Nantasenamat1, Likit Preeyanon1, Chartchalerm Isarankura-Na-Ayudhya2, Virapong Prachayasittikul2.   

Abstract

PyBact is a software written in Python for bacterial identification. The code simulates the predefined behavior of bacterial species by generating a simulated data set based on the frequency table of biochemical tests from diagnostic microbiology textbook. The generated data was used for predictive model construction by machine learning approaches and results indicated that the classifiers could accurately predict its respective bacterial class with accuracy in excess of 99 %.

Entities:  

Keywords:  PyBact; Python; bacteria; bacterial identification; data mining; microbiology

Year:  2011        PMID: 27857678      PMCID: PMC5109015     

Source DB:  PubMed          Journal:  EXCLI J        ISSN: 1611-2156            Impact factor:   4.068


  17 in total

1.  Bacterial identification for publication: when is enough enough?

Authors:  J Michael Janda; Sharon L Abbott
Journal:  J Clin Microbiol       Date:  2002-06       Impact factor: 5.948

2.  Quantitative structure-imprinting factor relationship of molecularly imprinted polymers.

Authors:  Chanin Nantasenamat; Chartchalerm Isarankura-Na-Ayudhya; Thanakorn Naenna; Virapong Prachayasittikul
Journal:  Biosens Bioelectron       Date:  2007-01-31       Impact factor: 10.618

3.  Modeling the activity of furin inhibitors using artificial neural network.

Authors:  Apilak Worachartcheewan; Chanin Nantasenamat; Thanakorn Naenna; Chartchalerm Isarankura-Na-Ayudhya; Virapong Prachayasittikul
Journal:  Eur J Med Chem       Date:  2008-10-01       Impact factor: 6.514

4.  Prediction of bond dissociation enthalpy of antioxidant phenols by support vector machine.

Authors:  Chanin Nantasenamat; Chartchalerm Isarankura-Na-Ayudhya; Thanakorn Naenna; Virapong Prachayasittikul
Journal:  J Mol Graph Model       Date:  2008-04-14       Impact factor: 2.518

5.  Advances in computational methods to predict the biological activity of compounds.

Authors:  Chanin Nantasenamat; Chartchalerm Isarankura-Na-Ayudhya; Virapong Prachayasittikul
Journal:  Expert Opin Drug Discov       Date:  2010-05-22       Impact factor: 6.098

6.  Identification of bacteria by computer: general aspects and perspectives.

Authors:  S P Lapage; S Bascomb; W R Willcox; M A Curtis
Journal:  J Gen Microbiol       Date:  1973-08

7.  Identification of bacteria by computer: theory and programming.

Authors:  W R Willcox; S P Lapage; S Bascomb; M A Curtis
Journal:  J Gen Microbiol       Date:  1973-08

8.  Lower BMI cutoff for assessing the prevalence of metabolic syndrome in Thai population.

Authors:  Apilak Worachartcheewan; Chanin Nantasenamat; Chartchalerm Isarankura-Na-Ayudhya; Phannee Pidetcha; Virapong Prachayasittikul
Journal:  Acta Diabetol       Date:  2009-08-01       Impact factor: 4.280

Review 9.  A primer on python for life science researchers.

Authors:  S Bassi
Journal:  PLoS Comput Biol       Date:  2007-11       Impact factor: 4.475

10.  Modeling the LPS neutralization activity of anti-endotoxins.

Authors:  Chadinee Thippakorn; Thummaruk Suksrichavalit; Chanin Nantasenamat; Tanawut Tantimongcolwat; Chartchalerm Isarankura-Na-Ayudhya; Thanakorn Naenna; Virapong Prachayasittikul
Journal:  Molecules       Date:  2009-05-20       Impact factor: 4.411

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  1 in total

1.  Key messages from Experimental and Clinical Sciences.

Authors:  R Marchan
Journal:  EXCLI J       Date:  2012-10-29       Impact factor: 4.068

  1 in total

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