Artificial intelligence (AI) has permeated various sectors, including the pharmaceutical
industry and research, where it has been utilized to efficiently identify new chemical entities …

The traditional method of drug reuse or repurposing has significantly contributed to the
identification of new antiviral compounds and therapeutic targets, enabling rapid response …

SARS-CoV-2 is a novel coronavirus that replicates itself via interacting with the host
proteins. As a result, identifying virus and host protein-protein interactions could help …

Acute respiratory distress syndrome (ARDS) is intricately linked with SARS-CoV-2-
associated disease severity and mortality, especially in patients with co-morbidities. Lung …

Although the Japanese encephalitis virus (JEV) infects various cell types, its receptor
molecules are still not clearly understood. In our laboratory's prior research, Rab4b was …

In bioinformatics research, traditional machine-learning methods have demonstrated
efficacy in addressing Euclidean data. However, real-world data often encompass non …

Proteins are considered indispensable for facilitating an organism's viability, reproductive
capabilities, and other fundamental physiological functions. Conventional biological assays …

This systematic review, which was carried out between 2018 and 2022 in accordance with
PRISMA principles, assesses how machine learning (ML) and other computational …

Long COVID, characterized by persistent symptoms lasting from weeks to several months
following initial infection with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS …

For the last few years, humans have been searching for a good solution to the lethal disease
of COVID-19. Finding human proteins that can be drugged to fight diseases like this is vital …