Recently, using artificial intelligence (AI) in drug discovery has received much attention
since it significantly shortens the time and cost of develo** new drugs. Deep learning (DL) …

Natural products have played a critical role in medicine due to their ability to bind and
modulate cellular targets involved in disease. Medicinal plants hold a variety of bioactive …

The research field of systems biology has greatly advanced and, as a result, the concept of
network pharmacology has been developed. This advancement, in turn, has shifted the …

Human diseases, especially infectious ones, have been evolving constantly. However, their
treatment strategies are not develo** quickly. Some diseases are caused by a variety of …

Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …

Protein function is often modulated by protein-protein interactions (PPIs) and therefore
defining the partners of a protein helps to understand its activity. PPIs can be detected …

The toxicogenomics field aims to understand and predict toxicity by using 'omics' data in
order to study systems-level responses to compound treatments. In recent years there has …

Approved drugs for sale must be effective and safe, implying that the drug's advantages
outweigh its known harmful side effects. Side effects (SE) of drugs are one of the common …

The application of network pharmacology (NP) has advanced our understanding of the
complex molecular mechanisms underlying diseases, including neck, head, and oral …

We present iRefWeb, a web interface to protein interaction data consolidated from 10 public
databases: BIND, BioGRID, CORUM, DIP, IntAct, HPRD, MINT, MPact, MPPI and OPHID …