Supplementary materials for "Exploring the lipoproteome of Parageobacillus thermoglucosidasius" zip file

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Authors: Mingailė Jackson, Pawel Palmowski, Andrew Porter, Paul B.C. James, Iain C. Sutcliffe
Cited by: 1

Abstract

This research used bioinformatic methods to identify bacterial lipoproteins encoded in the genome of the Parageobacillus thermoglucosidasius type strain, and to predict functions for the lipoproteome. Proteomics was also used to detect the expression of lipoproteins during growth on standard laboratory media. The zip file contains 6 supplementary data files containing [1] lipoprotein signal peptide identification, [2] proteomic methods, [3] analyses of lipoprotein signal peptide features, [4] summary data on lipoprotein functional predictions, [5] expanded information on lipoprotein functional predictions, and [6] data from proteomic detection of lipoproteins and other proteins.

Publication details

Journal / source
Figshare
Publication date
9 April 2026