Antimicrobial peptides (AMPs) are distributed across all kingdoms of life and are an
indispensable component of host defenses. They consist of predominantly short cationic …

Drug development is one of the most significant processes in the pharmaceutical industry.
Various computational methods have dramatically reduced the time and cost of drug …

Abstract The Database of Antimicrobial Activity and Structure of Peptides (DBAASP) is an
open-access, comprehensive database containing information on amino acid sequences …

Artificial intelligence (AI), and, in particular, deep learning as a subcategory of AI, provides
opportunities for the discovery and development of innovative drugs. Various machine …

Neurological disorders significantly outnumber diseases in other therapeutic areas.
However, developing drugs for central nervous system (CNS) disorders remains the most …

Reducing hurdles to clinical trials without compromising the therapeutic promises of peptide
candidates becomes an essential step in peptide-based drug design. Machine-learning …

The use and production of chemical compounds are subjected to strong legislative pressure.
Chemical toxicity and adverse effects derived from exposure to chemicals are key regulatory …

Virtual screening of protein–protein and protein–peptide interactions is a challenging task
that directly impacts the processes of hit identification and hit-to-lead optimization in drug …

Because of the increasing demand of greener solvents, deep eutectic solvents (DES) have
just emerged as low-cost alternative solvents for a broad range of applications. However …

High-throughput virtual screening (HTVS) is a leading biopharmaceutical technology that
employs computational algorithms to uncover biologically active compounds from large …