A novel numerical model for protein sequences analysis based on spherical coordinates and multiple physicochemical properties of amino acids.

08:00 EDT 12th April 2019 | BioPortfolio

Summary of "A novel numerical model for protein sequences analysis based on spherical coordinates and multiple physicochemical properties of amino acids."

How to characterize short protein sequences to make an effective connection to their functions is an unsolved problem. Here we propose to map the physicochemical properties of each amino acid onto unit spheres so that each protein sequence can be represented quantitatively. We demonstrate the usefulness of this representation by applying it to the prediction of cell penetrating peptides. We show that its combination with traditional composition features yields the best performance across different datasets, among several methods compared. For the convenience of users, a web server has been established for automatic calculations of the proposed features at


Journal Details

This article was published in the following journal.

Name: Biopolymers
ISSN: 1097-0282
Pages: e23282


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Medical and Biotech [MESH] Definitions

Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.

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