Polarity Index Method

Abstract

This chapter will describe one supervised algorithm that is frequently used to predict the function of proteins, the quantitative structure-activity relationship model (QSAR). I will discuss its advantages and disadvantages, and I will present a model called the polarity index method. This model shows a high degree of efficiency in predicting the main function of peptides and proteins by inspecting the linear sequence of macromolecules to evaluate a single physico-chemical property, polarity.

Keywords: Bioinformatics algorithms, Deterministic algorithms, Macromolecules, Physico–chemical properties, Polarity index method, Proteomics, Quantitative structure activity relationship models, Supervised algorithms, Stochastic algorithms, Training data.