Conventional wet laboratory testing, validations, and synthetic procedures are costly and
time-consuming for drug discovery. Advancements in artificial intelligence (AI) techniques …

Protein subcellular localization prediction is of great significance in bioinformatics and
biological research. Most of the proteins do not have experimentally determined localization …

Cryo-electron microscopy (cryo-EM) is a powerful technique for determining the structures of
biological macromolecular complexes. Picking single-protein particles from cryo-EM …

The purpose of this study was to discuss how artificial intelligence (AI) methods have
affected the field of drug development. It looks at how AI models and data resources are …

With climate emergency, COVID-19, and the rise of planetary health scholarship, the binary
of human and ecosystem health has been deeply challenged. The interdependence of …

Phosphorylation is one of the most important post-translational modifications and plays a
pivotal role in various cellular processes. Although there exist several computational tools to …

Introduction Intrinsic disorder prediction field develops, assesses, and deploys
computational predictors of disorder in protein sequences and constructs and disseminates …

Predicting protein structure is both fascinating and formidable, playing a crucial role in
structure-based drug discovery and unraveling diseases with elusive origins. The Critical …

Protein N-linked glycosylation is a post-translational modification that plays an important role
in a myriad of biological processes. Computational prediction approaches serve as …

In the realm of biomedical research, understanding the intricate structure of proteins is
crucial, as these structures determine how proteins function within our bodies and interact …