Polarity Index in Proteins-A Bioinformatics Tool

Polarity Index Method

Author(s): Carlos Polanco

Pp: 22-27 (6)

DOI: 10.2174/9781681082691116010007

* (Excluding Mailing and Handling)


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.

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