With more than 5 million fatalities and close to 300 million reported cases, COVID-19 is the
first documented pandemic due to a coronavirus that continues to be a major health …

Deep learning significantly accelerates the drug discovery process, and contributes to global
efforts to stop the spread of infectious diseases. Besides enhancing the efficiency of …

Many bioactive peptides demonstrated therapeutic effects over complicated diseases, such
as antiviral, antibacterial, anticancer, etc. It is possible to generate a large number of …

Background Until now, there are still a limited number of resources available to predict and
diagnose COVID-19 disease. The design of novel drug-drug interaction for COVID-19 …

The TIPE2 (tumor necrosis factor-alpha-induced protein 8-like 2) protein is a major regulator
of cancer and inflammatory diseases. The availability of its sequence and structure, as well …

The core of large-scale drug virtual screening is to select the binders accurately and
efficiently with high affinity from large libraries of small molecules in which non-binders are …

Early prediction and detection enable reduced transmission of human diseases and provide
healthcare professionals ample time to make subsequent diagnoses and treatment …

Over the last two decades, computational technologies have played a crucial role in antiviral
drug development. Whenever a virus spreads and becomes a threat to global health, it …

Background. Since the beginning of the novel coronavirus (SARS‐CoV‐2) disease
outbreak, there has been an increasing interest in discovering potential therapeutic agents …

Identifying native-like protein–ligand complexes (PLCs) from an abundance of docking
decoys is critical for large-scale virtual drug screening in early-stage drug discovery lead …