Protein‐protein interaction plays key role in predicting the protein function of target protein
and drug ability of molecules. The majority of genes and proteins realize resulting …

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

We combine advances in neural language modeling and structurally motivated design to
develop D-SCRIPT, an interpretable and generalizable deep-learning model, which predicts …

Do the amino acid sequence identities of residues that make contact across protein
interfaces covary during evolution? If so, such covariance could be used to predict contacts …

Abstract Knowledge about non-interacting proteins (NIPs) is important for training the
algorithms to predict protein–protein interactions (PPIs) and for assessing the false positive …

Highlights•The most accurate complex models are built by copying close homologous
templates.•Non-homologous templates can be detected by interface structure comparisons.• …

Network-based analytics plays an increasingly important role in precision oncology.
Growing evidence in recent studies suggests that cancer can be better understood through …

Protein–protein interactions are closely relevant to protein function and drug discovery.
Hence, accurately identifying protein–protein interactions will help us to understand the …

Protein-protein interactions (PPIs) play essential roles in many biological processes. A PPI
network provides crucial information on how biological pathways are structured and …

Over the past decade, conventional lab work strategies have gradually shifted from being
limited to a laboratory setting towards a bioinformatics era to help manage and process the …