Dataset Information

Functional assignment to maize group 1 LEA protein EMB564 within the cell nucleus using computational analysis.

ABSTRACT: Maize protein EMB564 is a member of group 1 LEA (late embryogenesis abundant) proteins. Currently, the molecular functions of group 1 LEA proteins remain largely unclear. We here report on the functional assignment to EMB564 by computational analysis. EMB564 is predicted as nuclear localization by five different predictors including CELLO, Plant-mPLoc, WoLF PSORT, Predotar and TargetP. EMB564 is found to be remote homologous with DNA/RNA helicases and single-stranded DNA-binding proteins, and their sequences contains similar DNA/RNA binding sites. Furthermore, the three-dimensional (3D) model of EMB564 structurally resembles a variety of nuclear and DNA/RNA-binding proteins, especially those involving in the regulation of cell division, chromosomal replication and DNA unwinding or repairing. Our results reveal that EMB564 protein is most likely to function within the cell nucleus.

SUBMITTER: Wu X

PROVIDER: S-EPMC3607185 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Functional assignment to maize group 1 LEA protein EMB564 within the cell nucleus using computational analysis.

Wu Xiaolin X Gong Fangping F Wang Wei W

Bioinformation 20130319 6

Maize protein EMB564 is a member of group 1 LEA (late embryogenesis abundant) proteins. Currently, the molecular functions of group 1 LEA proteins remain largely unclear. We here report on the functional assignment to EMB564 by computational analysis. EMB564 is predicted as nuclear localization by five different predictors including CELLO, Plant-mPLoc, WoLF PSORT, Predotar and TargetP. EMB564 is found to be remote homologous with DNA/RNA helicases and single-stranded DNA-binding proteins, and th ...[more]

PMID: 23559745

Similar Datasets

Project description:Genomics and proteomics experiments produce a large amount of data that are awaiting functional elucidation. An important step in analyzing such data is to identify functional units, which consist of proteins that play coherent roles to carry out the function. Importantly, functional coherence is not identical with functional similarity. For example, proteins in the same pathway may not share the same Gene Ontology (GO) terms, but they work in a coordinated fashion so that the aimed function can be performed. Thus, simply applying existing functional similarity measures might not be the best solution to identify functional units in omics data.We have designed two scores for quantifying the functional coherence by considering association of GO terms observed in two biological contexts, co-occurrences in protein annotations and co-mentions in literature in the PubMed database. The counted co-occurrences of GO terms were normalized in a similar fashion as the statistical amino acid contact potential is computed in the protein structure prediction field. We demonstrate that the developed scores can identify functionally coherent protein sets, i.e. proteins in the same pathways, co-localized proteins, and protein complexes, with statistically significant score values showing a better accuracy than existing functional similarity scores. The scores are also capable of detecting protein pairs that interact with each other. It is further shown that the functional coherence scores can accurately assign proteins to their respective pathways.We have developed two scores which quantify the functional coherence of sets of proteins. The scores reflect the actual associations of GO terms observed either in protein annotations or in literature. It has been shown that they have the ability to accurately distinguish biologically relevant groups of proteins from random ones as well as a good discriminative power for detecting interacting pairs of proteins. The scores were further successfully applied for assigning proteins to pathways.

Dataset Information

Functional assignment to maize group 1 LEA protein EMB564 within the cell nucleus using computational analysis.

Publications

Functional assignment to maize group 1 LEA protein EMB564 within the cell nucleus using computational analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets