This paper is in the following e-collection/theme issue:

Theme Issue: Medical Informatics and COVID-19 (119) Digital Science, Open Science (87) Drug Repurposing and Off-Label Use (27) Epublishing and Open Access (97) JMIR Theme Issue: COVID-19 Special Issue (2510) Pharmacology and Pharmaceutics (91)

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

Authors of this article:

Junaed Younus Khan1 Author Orcid Image ;   Md Tawkat Islam Khondaker1 Author Orcid Image ;   Iram Tazim Hoque1 Author Orcid Image ;   Hamada R H Al-Absi2 Author Orcid Image ;   Mohammad Saifur Rahman1 Author Orcid Image ;   Reto Guler3, 4, 5 Author Orcid Image ;   Tanvir Alam2 Author Orcid Image ;   M Sohel Rahman1 Author Orcid Image
Article Authors Cited by (10) Tweetations (6) Metrics

Journals

  1. Alam T, Lipovich L. miRCOVID-19: Potential Targets of Human miRNAs in SARS-CoV-2 for RNA-Based Drug Discovery. Non-Coding RNA 2021;7(1):18 View
  2. Guo Y, Zhang Y, Lyu T, Prosperi M, Wang F, Xu H, Bian J. The application of artificial intelligence and data integration in COVID-19 studies: a scoping review. Journal of the American Medical Informatics Association 2021;28(9):2050 View
  3. Supianto A, Nurdiansyah R, Weng C, Zilvan V, Yuwana R, Arisal A, Pardede H, Lee M, Huang C, Ng K. Cluster-based text mining for extracting drug candidates for the prevention of COVID-19 from the biomedical literature. Journal of Taibah University Medical Sciences 2023;18(4):787 View
  4. Basit S, Qureshi R, Musleh S, Guler R, Rahman M, Biswas K, Alam T. COVID-19Base v3: Update of the knowledgebase for drugs and biomedical entities linked to COVID-19. Frontiers in Public Health 2023;11 View
  5. Qureshi R, Irfan M, Gondal T, Khan S, Wu J, Hadi M, Heymach J, Le X, Yan H, Alam T. AI in drug discovery and its clinical relevance. Heliyon 2023;9(7):e17575 View
  6. Alkam T, Tarshizi E, Van Benschoten A. Large language models for Alzheimer's disease drug discovery. Journal of Alzheimer’s Disease 2025 View

Conference Proceedings

  1. Chandel S, Gochhait S. 2022 International Conference on Decision Aid Sciences and Applications (DASA). COVID-19 Vaccination Decision-Making Approach and the Sentiments of Indian Citizens View
  2. Islam M, Alkhateeb M, Musleh S, El Hajj N, Alam T. 2024 6th International Conference on Communications, Signal Processing, and their Applications (ICCSPA). EBAnet: Improved Deep Learning Model for the Detection of Epidermolysis Bullusa Acquisita View
  3. Islam M, Hafruza K, Musleh S, Arif M, Alam T. Proceedings of the 2024 7th International Conference on Healthcare Service Management. RDnet: Deep Learning-based model for the Identification of Retinal Detachment View
  4. Al-Qirshi R, Basit S, Musleh S, Islam M, Alam T. Proceedings of the 2024 7th International Conference on Healthcare Service Management. Machine Learning Model for the Identification of Lung Cancer Subtypes based on DNA Methylation View