Network-based function prediction and interactomics: the case for metabolic enzymes.

  title={Network-based function prediction and interactomics: the case for metabolic enzymes.},
  author={Sarath Chandra Janga and Juan Javier D{\'i}az-Mej{\'i}a and Gabriel Moreno-Hagelsieb},
  journal={Metabolic engineering},
  volume={13 1},
As sequencing technologies increase in power, determining the functions of unknown proteins encoded by the DNA sequences so produced becomes a major challenge. Functional annotation is commonly done on the basis of amino-acid sequence similarity alone. Long after sequence similarity becomes undetectable by pair-wise comparison, profile-based identification of homologs can often succeed due to the conservation of position-specific patterns, important for a protein's three dimensional folding and… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 25 extracted citations

Revealing protein functions based on relationships of interacting proteins and GO terms

2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) • 2016

The power of operon rearrangements for predicting functional associations

Computational and structural biotechnology journal • 2015
View 2 Excerpts


Publications referenced by this paper.
Showing 1-10 of 147 references

Network-based prediction of protein function

Molecular systems biology • 2007
View 4 Excerpts
Highly Influenced

Analysis of gene order conservation in eukaryotes identifies transcriptionally and functionally linked genes

M. Davila Lopez, J. J. Martinez Guerra, T. Samuelsson
PLoS One • 2010
View 1 Excerpt

Overview on techniques in cluster analysis.

Methods in molecular biology • 2010
View 1 Excerpt

The IntAct molecular interaction database

B. Aranda, P. Achuthan, +18 authors H. Hermjakob
Nucleic Acids Res • 2010

The IntAct molecular interaction database in 2010

Nucleic Acids Research • 2010
View 2 Excerpts

Similar Papers

Loading similar papers…