Performance of rotation forest ensemble classifier and feature extractor in predicting protein interactions using amino acid sequences

摘要

Proteins are polymers that are composed of amino acid monomers associated with peptide bonds, and they are essential for the survival of an organism. According to [ ], a protein is a linear, chain-like polymer molecule comprising 10 to thousands of monomer units that are connected like beads in a necklace, with each monomer, in turn, comprising 20 natural amino acids. Proteins play an important role in forming the structural components of organisms, and they can also carry out the metabolic reactions needed to sustain life [ ]. As essential macromolecules, proteins rarely act as isolated agents; instead, they must interact with other proteins to perform their functions properly [ ]. Protein interactions play a central role in the many cellular functions carried out by all organisms. Thus, when irregularities occur in protein interactions, bodily malfunctions, such as autoimmune conditions, cancer, or even virus-borne diseases, can arise.