A review of SARS-CoV-2 drug repurposing: Databases and machine learning models

M Elkashlan, RM Ahmad, M Hajar, F Al Jasmi… - Frontiers in …, 2023 - frontiersin.org
The emergence of Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2)
posed a serious worldwide threat and emphasized the urgency to find efficient solutions to …

Viral informatics: bioinformatics-based solution for managing viral infections

S Kumar, GS Kumar, SS Maitra, P Malý… - Briefings in …, 2022 - academic.oup.com
Several new viral infections have emerged in the human population and establishing as
global pandemics. With advancements in translation research, the scientific community has …

In silico identification of potential inhibitors of vital monkeypox virus proteins from FDA approved drugs

AK Sahoo, PD Augusthian, I Muralitharan… - Molecular Diversity, 2023 - Springer
Abstract The World Health Organization (WHO) recently declared the monkeypox outbreak
'A public health emergency of international concern'. The monkeypox virus belongs to the …

[HTML][HTML] Prediction of repurposed drugs for Coronaviruses using artificial intelligence and machine learning

A Rajput, A Thakur, A Mukhopadhyay, S Kamboj… - Computational and …, 2021 - Elsevier
The world is facing the COVID-19 pandemic caused by Severe Acute Respiratory Syndrome
Coronavirus 2 (SARS-CoV-2). Likewise, other viruses of the Coronaviridae family were …

Artificial Intelligence, machine learning, and big data for Ebola virus drug discovery

SK Kwofie, J Adams, E Broni, KS Enninful, C Agoni… - Pharmaceuticals, 2023 - mdpi.com
The effect of Ebola virus disease (EVD) is fatal and devastating, necessitating several efforts
to identify potent biotherapeutic molecules. This review seeks to provide perspectives on …

Structure-based drug repurposing against COVID-19 and emerging infectious diseases: methods, resources and discoveries

Y Masoudi-Sobhanzadeh, A Salemi… - Briefings in …, 2021 - academic.oup.com
To attain promising pharmacotherapies, researchers have applied drug repurposing (DR)
techniques to discover the candidate medicines to combat the coronavirus disease 2019 …

In silico identification of anti-SARS-CoV-2 medicinal plants using cheminformatics and machine learning

J Liang, Y Zheng, X Tong, N Yang, S Dai - Molecules, 2022 - mdpi.com
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative pathogen of
COVID-19, is spreading rapidly and has caused hundreds of millions of infections and …

EBOLApred: A machine learning-based web application for predicting cell entry inhibitors of the Ebola virus

J Adams, K Agyenkwa-Mawuli, O Agyapong… - … Biology and Chemistry, 2022 - Elsevier
Ebola virus disease (EVD) is a highly virulent and often lethal illness that affects humans
through contact with the body fluid of infected persons. Glycoprotein and matrix protein VP40 …

Anti-Dengue: A Machine Learning-Assisted Prediction of Small Molecule Antivirals against Dengue Virus and Implications in Drug Repurposing

S Gautam, A Thakur, A Rajput, M Kumar - Viruses, 2023 - mdpi.com
Dengue outbreaks persist in global tropical regions, lacking approved antivirals,
necessitating critical therapeutic development against the virus. In this context, we …

Computational identification of repurposed drugs against viruses causing epidemics and pandemics via drug-target network analysis

A Rajput, A Thakur, A Rastogi, S Choudhury… - Computers in Biology …, 2021 - Elsevier
Viral epidemics and pandemics are considered public health emergencies. However,
traditional and novel antiviral discovery approaches are unable to mitigate them in a timely …