Predicting antifreeze proteins with weighted generalized dipeptide composition and multi-regression feature selection ensemble.
Journal:
BMC bioinformatics
Published Date:
Jun 23, 2021
Abstract
BACKGROUND: Antifreeze proteins (AFPs) are a group of proteins that inhibit body fluids from growing to ice crystals and thus improve biological antifreeze ability. It is vital to the survival of living organisms in extremely cold environments. However, little research is performed on sequences feature extraction and selection for antifreeze proteins classification in the structure and function prediction, which is of great significance.