Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21648, first published .
Toward Preparing a Knowledge Base to Explore Potential Drugs and Biomedical Entities Related to COVID-19: Automated Computational Approach

Toward Preparing a Knowledge Base to Explore Potential Drugs and Biomedical Entities Related to COVID-19: Automated Computational Approach

Toward Preparing a Knowledge Base to Explore Potential Drugs and Biomedical Entities Related to COVID-19: Automated Computational Approach

Junaed Younus Khan   1 , BSc ;   Md Tawkat Islam Khondaker   1 , BSc ;   Iram Tazim Hoque   1 , BSc ;   Hamada R H Al-Absi   2 , MSc ;   Mohammad Saifur Rahman   1 , PhD ;   Reto Guler   3, 4, 5 , PhD ;   Tanvir Alam   2 , PhD ;   M Sohel Rahman   1 , PhD

1 Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

2 College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar

3 International Centre for Genetic Engineering and Biotechnology, Cape Town Component, Cape Town, South Africa

4 Division of Immunology and South African Medical Research Council Immunology of Infectious Diseases, Department of Pathology, Institute of Infectious Diseases and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa

5 Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa

Corresponding Author:

  • Tanvir Alam, PhD
  • College of Science and Engineering
  • Hamad Bin Khalifa University
  • PO Box 34110
  • Education City
  • Doha
  • Qatar
  • Phone: 974 44542277
  • Fax: 974 44542277
  • Email: talam@hbku.edu.qa