Sequence-dependent cluster analysis of biomineralization peptides

College

Gokongwei College of Engineering

Department/Unit

Chemical Engineering

Document Type

Article

Source Title

Zeitschrift fur Naturforschung - Section C Journal of Biosciences

Volume

70

Issue

7-8

First Page

191

Last Page

195

Publication Date

1-1-2015

Abstract

A reliable and statistically valid classification of biomineralization peptides is herein presented. 27 biomineralization peptides (BMPep) were randomly selected as representative samples to establish the classification system using k-means method. These biomineralization peptides were either discovered through isolation from various organisms or via phage display. Our findings show that there are two types of biomineralization peptides based on their length, molecular weight, heterogeneity, and aliphatic residues. Type-1 BMPeps are more commonly found and exhibit higher values for these significant clustering variables. In contrast are the type-2 BMPeps, which have lower values for these parameters and are less common. Through our clustering analysis, a more efficient and systematic approach in BMPep selection is possible since previous methods of BMPep classification are unreliable.

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Digitial Object Identifier (DOI)

10.1515/znc-2014-4202

Disciplines

Chemical Engineering

Keywords

Biomineralization; Peptides; Nanobiotechnology; Biometry

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