Article

ProminTools: shedding light on proteins of unknown function in biomineralization with user friendly tools illustrated using mollusc shell matrix protein sequences

Details

Citation

Skeffington AW & Donath A (2020) ProminTools: shedding light on proteins of unknown function in biomineralization with user friendly tools illustrated using mollusc shell matrix protein sequences. PeerJ, 8, Art. No.: e9852. https://doi.org/10.7717/peerj.9852

Abstract
Biominerals are crucial to the fitness of many organism and studies of the mechanisms of biomineralization are driving research into novel materials. Biomineralization is generally controlled by a matrix of organic molecules including proteins, so proteomic studies of biominerals are important for understanding biomineralization mechanisms. Many such studies identify large numbers of proteins of unknown function, which are often of low sequence complexity and biased in their amino acid composition. A lack of user-friendly tools to find patterns in such sequences and robustly analyse their statistical properties relative to the background proteome means that they are often neglected in follow-up studies. Here we present ProminTools, a user-friendly package for comparison of two sets of protein sequences in terms of their global properties and motif content. Outputs include data tables, graphical summaries in an html file and an R-script as a starting point for data-set specific visualizations. We demonstrate the utility of ProminTools using a previously published shell matrix proteome of the giant limpet Lottia gigantea.

Keywords
General Agricultural and Biological Sciences; General Biochemistry, Genetics and Molecular Biology; General Medicine; General Neuroscience

Journal
PeerJ: Volume 8

StatusPublished
FundersAlexander von Humboldt Foundation
Publication date11/09/2020
Publication date online11/09/2020
Date accepted by journal11/08/2020
URLhttp://hdl.handle.net/1893/35328
PublisherPeerJ

People (1)

Dr Alastair Skeffington

Dr Alastair Skeffington

Lecturer in Environmental Genomics, Biological and Environmental Sciences