Evidence of post translational modification bias extracted from the tRNA and corresponding amino acid interplay across a set of diverse organisms

Oliver Bonham-Carter, Ishwor Thapa, Dhundy Bastola

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

A post-translational modification (PTM) describes a form of biosynthesis for the task of initializing proteins for specific functions. PTMs are complexes which are involved in de- veloping or customizing proteins to increase their functional diversity. In times of protein stress, PTMs may be involved in altering protein structures to allow for better chances of survival. Once the stress-condition has elapsed, PTMs are able to transform the protein's structure back to its original form for the continued survival of the protein. PTMs are not applied uniformly across organismal proteins and dif- fering PTM preferences and usages may often exist between proteins of the same organism. Here, we study the frequency of factors (PTM predominance and their associated active sites, tRNAs and amino acids) which likely in uence a PTM bias. We extract and study these factor frequencies across both mitochondrial (Mt) and non-Mt proteins of nine diverse organisms (closely following two, Arabidopsis thaliana and Caenorhabditis elegans, due to space limitations) to illus- Trate their remarkable differences which may strongly in u- ence natural PTM selection. By this work, weoer evidence to argue that this PTM bias may be the result of these fac- Tors which combine in a poorly understood system to affect and control PTM interactions. Our analysis is made up of an application of frequency information concerning PTMs, active sites, tRNA and amino acids and is used to create network models for the clear visualization of its mechanisms for this PTM natural selection.

Original languageEnglish (US)
Title of host publicationACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
PublisherAssociation for Computing Machinery, Inc
Pages774-781
Number of pages8
ISBN (Electronic)9781450328944
DOIs
StatePublished - Sep 20 2014
Event5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM BCB 2014 - Newport Beach, United States
Duration: Sep 20 2014Sep 23 2014

Publication series

NameACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics

Conference

Conference5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM BCB 2014
CountryUnited States
CityNewport Beach
Period9/20/149/23/14

Keywords

  • Active site bias
  • Amino acid bias
  • PTM bias
  • TRNA bias

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications
  • Software
  • Biomedical Engineering

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  • Cite this

    Bonham-Carter, O., Thapa, I., & Bastola, D. (2014). Evidence of post translational modification bias extracted from the tRNA and corresponding amino acid interplay across a set of diverse organisms. In ACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (pp. 774-781). (ACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics). Association for Computing Machinery, Inc. https://doi.org/10.1145/2649387.2660848