Motivation Loss-of-function genetic variants are frequently associated with severe clinical
phenotypes, yet many are present in the genomes of healthy individuals. The available …

Motivation Classification by supervised machine learning greatly facilitates the annotation of
protein characteristics from their primary sequence. However, the feature generation step in …

Motivation Proteins able to undergo liquid–liquid phase separation (LLPS) in vivo and in
vitro are drawing a lot of interest, due to their functional relevance for cell life. Nevertheless …

Motivation Evolutionary information is crucial for the annotation of proteins in bioinformatics.
The amount of retrieved homologs often correlates with the quality of predicted protein …

Protein sequence data arise more and more often in vaccine and infectious disease
research. These types of data are discrete, high-dimensional, and complex. We propose to …

The ability to characterize the functional behavior of an individual protein in a variety of
different contexts is one of the cornerstones of carrying out biological investigations. Its …

Protein is one of the fundamental elements in living organisms and understanding its
function is a key to understand life at a molecular level. With impressive advances in …

Cystine-stabilized peptides are promising prospects for the pharmaceutical industry as
biologics. These peptides carry out a variety of useful functions which could be exploited to …

The abundance of genetic variation brought about by high-throughput sequencing
technologies has led to increased necessity for computational methods to characterize the …