CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: The β-Lactamase (BL) enzyme family is an important class of enzymes that plays a key role in bacterial resistance to antibiotics. As the newly identified number of BL enzymes is increasing daily, it is imperative to develop a computational tool to classify the newly identified BL enzymes into one of its classes. There are two types of classification of BL enzymes: Molecular Classification and Functional Classification. Existing computational methods only address Molecular Classification and the performance of these existing methods is unsatisfactory.

Authors

  • Clarence White
    Department of Computational Science and Engineering, North Carolina A&T State University, Greensboro, NC, 27411, USA.
  • Hamid D Ismail
    Department of Computational Science and Engineering, North Carolina A&T State University, Greensboro, NC, 27411, USA.
  • Hiroto Saigo
    Faculty of Information Science and Electrical Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan.
  • Dukka B Kc
    Department of Computational Science and Engineering, North Carolina A&T State University, Greensboro, NC, 27411, USA. dbkc@ncat.edu.