In silico tools, such as molecular docking, are widely applied to study interactions and
binding affinity of biological activity of proteins and peptides. However, restricted sampling of …

Artificial intelligence (AI) and machine learning (ML) models are being deployed in many
domains of society and have recently reached the field of drug discovery. Given the …

Inflammation is a biologically resistant response to harmful stimuli, such as infection,
damaged cells, toxic chemicals, or tissue injuries. Its purpose is to eradicate pathogenic …

Discovery and development of biopeptides are time‐consuming, laborious, and dependent
on various factors. Data‐driven computational methods, especially machine learning (ML) …

Sustained drug delivery strategies have many potential benefits for treating a range of
diseases, particularly chronic diseases that require treatment for years. For many chronic …

Inflammation is the response of the immune system to harmful stimuli such as tissue injury,
infection or toxic chemicals, which has the aim of eliminating irritants or pathogenic …

Bioactive peptides (BPs) possess a broad spectrum of beneficial effects, such as antioxidant,
antihypertensive, antidiabetic, anticancer, anti-inflammatory, antimicrobial, and anti-aging …

DNA N4-methylcytosine (4mC) is an important genetic modification and plays crucial roles in
differentiation between self and non-self DNA and in controlling DNA replication, cell cycle …

Background Bioactive peptides obtained from different food sources have been proved to
exert several bioactivities, such as antioxidant, antihypertensive, antimicrobial, or anti …

Background Food contains abundant bioactive compounds that play a crucial role in human
health. However, conventional methods for screening food bioactive compounds (FBCs) are …