Most proteins perform their biological function by interacting with themselves or other
molecules. Thus, one may obtain biological insights into protein functions, disease …

The field of computational chemistry has seen a significant increase in the integration of
machine learning concepts and algorithms. In this Perspective, we surveyed 179 open …

Abstract Information regarding the residue–residue distance between interacting proteins is
important for modelling the structures of protein complexes, as well as being valuable for …

Protein–protein interactions (PPIs) carry out the cellular processes of all living organisms.
Experimental methods for PPI detection suffer from high cost and false-positive rate, hence …

Biomimetic nanoparticles are known to serve as nanoscale adjuvants, enzyme mimics and
amyloid fibrillation inhibitors. Their further development requires better understanding of …

Most life activities in organisms are regulated through protein complexes, which are mainly
controlled via Protein–Protein Interactions (PPIs). Discovering new interactions between …

Deep learning, a potent branch of artificial intelligence, is steadily leaving its transformative
imprint across multiple disciplines. Within computational biology, it is expediting progress in …

Drug discovery plays a critical role in advancing human health by developing new
medications and treatments to combat diseases. How to accelerate the pace and reduce the …

Adopting computational tools for analyzing extensive biological datasets has profoundly
transformed our understanding and interpretation of biological phenomena. Innovative …

Rapid advancements in protein sequencing technology have resulted in gaps between
proteins with identified sequences and those with mapped structures. Although sequence …