Citation: Krueger, Tanja and Jimenez Soto, Luisa F. and Koludarov, Ivan: Not all toxins are the same: Dataset and Analysis. 8. November 2023. Open Data LMU. 10.5282/ubm/data.423
Other (Dataset and code used for publication Animal vs Bacterial toxins)
Krueger2023a_v2.zip - Draft Version 50MB |
DOI: 10.5282/ubm/data.423
This dataset is available unter the terms of the following Creative Commons LicenseCC BY-SA 4.0
Abstract
Existing data sets annotating toxins include proteins and toxic peptides. They include bacterial, animal, and plant toxins (classified by source organism). Often, they other proteins associated with toxins , even though they do not have toxic effect. Here, we present a manually curated data set of bacterial proteins acting as toxins, called exotoxins, along with a curated data set of animal toxins and two control sets for non-toxic secreted proteins from animals and bacteria. Toxins in our data set were selected based on reports of secretion, and their ability to directly target and/or disrupt molecular mechanisms essential for the survival of the host organism. We compared simple biophysical features such as protein length, isoelectric point and amino acid composition to their secreted non toxic counterpart, and between the kingdoms. While both animal and bacterial toxins use more cysteines than their control, animal had an additional over-representation in cysteines. In addition, we found animal toxins to be substantially shorter on average than bacterial toxins and had their isoelectric point shifted more toward acidic pH values. Overall, the differences in biophysical features between animal and bacterial toxins suggest to keep the two sets distinct.
Uncontrolled Keywords
bacteria toxins, animal toxins, amino acid usage, exotoxins
Item Type: | Data |
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Contact Person: | Jimenez Soto, Luisa F. |
E-Mail of Contact: | l.jimenez at lmu.de |
Subjects: | Chemistry and Pharmacy Biology |
Dewey Decimal Classification: | 500 Natural sciences and mathematics 500 Natural sciences and mathematics > 570 Life sciences |
ID Code: | 423 |
Deposited By: | Dr. Luisa F. Jimenez Soto |
Deposited On: | 13. Dec 2023 09:37 |
Last Modified: | 13. Dec 2023 10:37 |
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