An Algorithm for Protein Helix Assignment Using Helix Geometry

Chen Cao, Shutan Xu and Lincong Wang

PLOS ONE, 2015, vol. 10, issue 7, 1-20

Abstract: Helices are one of the most common and were among the earliest recognized secondary structure elements in proteins. The assignment of helices in a protein underlies the analysis of its structure and function. Though the mathematical expression for a helical curve is simple, no previous assignment programs have used a genuine helical curve as a model for helix assignment. In this paper we present a two-step assignment algorithm. The first step searches for a series of bona fide helical curves each one best fits the coordinates of four successive backbone Cα atoms. The second step uses the best fit helical curves as input to make helix assignment. The application to the protein structures in the PDB (protein data bank) proves that the algorithm is able to assign accurately not only regular α-helix but also 310 and π helices as well as their left-handed versions. One salient feature of the algorithm is that the assigned helices are structurally more uniform than those by the previous programs. The structural uniformity should be useful for protein structure classification and prediction while the accurate assignment of a helix to a particular type underlies structure-function relationship in proteins.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0129674

DOI: 10.1371/journal.pone.0129674

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