AI Article Synopsis

  • Characterizing the functions of short protein sequences is a complex problem that researchers are aiming to solve.
  • The authors suggest mapping the physicochemical properties of amino acids onto unit spheres for quantitative representation of protein sequences.
  • Their approach shows improved prediction of cell-penetrating peptides and is accessible via a web server for automatic calculations of the features.

Article Abstract

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 http://biophy.dzu.edu.cn/SNumD/.

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Source
http://dx.doi.org/10.1002/bip.23282DOI Listing

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