TY - GEN
T1 - Evidence of post translational modification bias extracted from the tRNA and corresponding amino acid interplay across a set of diverse organisms
AU - Bonham-Carter, Oliver
AU - Thapa, Ishwor
AU - Bastola, Dhundy
N1 - Publisher Copyright:
Copyright © 2014 ACM.
PY - 2014/9/20
Y1 - 2014/9/20
N2 - 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.
AB - 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.
KW - Active site bias
KW - Amino acid bias
KW - PTM bias
KW - TRNA bias
UR - http://www.scopus.com/inward/record.url?scp=84920719091&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84920719091&partnerID=8YFLogxK
U2 - 10.1145/2649387.2660848
DO - 10.1145/2649387.2660848
M3 - Conference contribution
AN - SCOPUS:84920719091
T3 - ACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
SP - 774
EP - 781
BT - ACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
PB - Association for Computing Machinery
T2 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM BCB 2014
Y2 - 20 September 2014 through 23 September 2014
ER -