Recent developments in deep learning, coupled with an increasing number of sequenced
proteins, have led to a breakthrough in life science applications, in particular in protein …

Advances in high‐throughput omics technologies are leading plant biology research into the
era of big data. Machine learning (ML) performs an important role in plant systems biology …

Antimicrobial peptides (AMPs) are a heterogeneous group of short polypeptides that target
not only microorganisms but also viruses and cancer cells. Due to their lower selection for …

Accurate computational identification of B-cell epitopes is crucial for the development of
vaccines, therapies, and diagnostic tools. However, current structure-based prediction …

Identifying disease-associated microRNAs (miRNAs) could help understand the deep
mechanism of diseases, which promotes the development of new medicine. Recently …

Motivation Predicting the associations between human microbes and drugs (MDAs) is one
critical step in drug development and precision medicine areas. Since discovering these …

Malaria vaccine development is hampered by extensive antigenic variation and complex life
stages of Plasmodium species. Vaccine development has focused on a small number of …

Human mitochondrial DNA (mtDNA) harbors essential mutations linked to aging,
neurodegenerative diseases, and complex muscle disorders. Due to its uniparental and …

Drug repositioning (DR) is a promising approach for identifying novel indications of existing
drugs. Computational methods for drug repositioning have been recognised as effective …

Abstract The coronavirus disease-2019 (COVID-19) pandemic has elucidated major
limitations in the capacity of medical and research institutions to appropriately manage …