Abstract Machine learning methods for extracting patterns from high-dimensional data are
very important in the biological sciences. However, in certain cases, real-world applications …

Heparin-binding protein (HBP) is a cationic antibacterial protein derived from multinuclear
neutrophils and an important biomarker of infectious diseases. The correct identification of …

Thermophilic proteins have various practical applications in theoretical research and in
industry. In recent years, the demand for thermophilic proteins on an industrial scale has …

Hormone binding proteins (HBPs) belong to the group of soluble carrier proteins. These
proteins selectively and non-covalently interact with hormones and promote growth …

Thermophilic proteins have important value in the fields of biopharmaceuticals and enzyme
engineering. Most existing thermophilic protein prediction models are based on traditional …

Protein thermostability is important in many areas of biotechnology, including enzyme
engineering and protein-hybrid optoelectronics. Ever-growing protein databases and …

Motivation Reliable prediction of protein thermostability from its sequence is valuable for
both academic and industrial research. This prediction problem can be tackled using …

Thermophilic proteins have great potential to be utilized as biocatalysts in biotechnology.
Machine learning algorithms are gaining increasing use in identifying such enzymes …

Introduction Psychrophilic enzymes are a class of macromolecules with high catalytic activity
at low temperatures. Cold-active enzymes possessing eco-friendly and cost-effective …

The recognition of DNA-binding proteins (DBPs) is the crucial step to understanding their
roles in various biological processes such as genetic regulation, gene expression, cell cycle …