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The Scientific World Journal
Volume 2014, Article ID 980572, 7 pages
http://dx.doi.org/10.1155/2014/980572
Research Article

Identification of Family Specific Fingerprints in β-Lactamase Families

1Department of Biophysics, University of Delhi South Campus, New Delhi 110 021, India
2Department of Microbiology, University of Delhi South Campus, New Delhi 110 021, India

Received 31 August 2013; Accepted 14 November 2013; Published 11 February 2014

Academic Editors: I. F. Hung and C. Woods

Copyright © 2014 Abhishikha Srivastava et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Abhishikha Srivastava, Neelja Singhal, Manisha Goel, Jugsharan Singh Virdi, and Manish Kumar, “CBMAR: a comprehensive beta-lactamase molecular annotation resource,” Database-The Journal Of Biological Databases And Curation, 2014. View at Publisher · View at Google Scholar
  • Abhigyan Nath, and S. Karthikeyan, “Enhanced identification of β-lactamases and its classes using sequence, physicochemical and evolutionary information with sequence feature characterization of the classes,” Computational Biology and Chemistry, vol. 68, pp. 29–38, 2017. View at Publisher · View at Google Scholar
  • Clarence White, Hamid D. Ismail, Hiroto Saigo, and Dukka B. Kc, “CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes,” BMC Bioinformatics, vol. 18, no. S16, 2017. View at Publisher · View at Google Scholar