Current drug development is still costly and slow given tremendous technological
advancements in drug discovery and medicinal chemistry. Using machine learning (ML) to …

Natural products with polypharmacological profiles have demonstrated promise as novel
therapeutics for various complex diseases, including cancer. Currently, many gaps exist in …

Natural products are continually explored in the development of new bioactive compounds
with industrial applications, attracting the attention of scientific research efforts due to their …

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 …

Adenosine receptors (ARs) have been demonstrated to be potential therapeutic targets
against Parkinson's disease (PD). In the present study, we describe a multistage virtual …

Senescence is a widely appreciated tumour suppressive mechanism, which acts as a barrier
to cancer development by arresting cell cycle progression in response to harmful stimuli …

Background: Marburg virus (MARV) is a sporadic outbreak of a zoonotic disease that causes
lethal hemorrhagic fever in humans. We propose a deep learning model with resampling …

Artificial neural networks (ANNs) are one of the primary types of artificial intelligence and
have been rapidly developed and used in many fields. In recent years, there has been a …

Senescence is a special state of tumor suppression induced by cell cycle arrest. However,
releasing senescence-associated secretory phenotypes by senescent cells could provide …

Background: In recent years, the availability of high throughput technologies, establishment
of large molecular patient data repositories, and advancement in computing power and …