A Bioinformatics Classifier and Database for Heme-Copper Oxygen Reductases
2011

A Bioinformatics Classifier and Database for Heme-Copper Oxygen Reductases

Sample size: 552 publication Evidence: high

Author Information

Author(s): Sousa Filipa L., Alves Renato J., Pereira-Leal José B., Teixeira Miguel, Pereira Manuela M.

Primary Institution: Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa, Oeiras, Portugal

Hypothesis

Can we classify heme-copper oxygen reductases (HCOs) and nitric oxide reductases (NORs) using a new bioinformatics tool?

Conclusion

The study supports a classification of HCOs into three functional and evolutionary groups and provides a web tool for classification.

Supporting Evidence

  • The classifier achieved a global recall and precision of 99.8%.
  • The study included a gold standard data set of 1216 distinct sequences.
  • Phylogenetic analysis supported the classification of HCOs into three types.
  • NORs were shown to be evolutionarily related to C Type HCOs.
  • The web tool is publicly accessible for further research.

Takeaway

Scientists created a computer tool to help classify special proteins that help organisms breathe, using data from many different species.

Methodology

The researchers developed a bioinformatics classifier and benchmarked it against a gold standard sequence set to classify HCOs and NORs.

Limitations

The study primarily focused on prokaryotic sequences and may not encompass all types of HCOs and NORs.

Digital Object Identifier (DOI)

10.1371/journal.pone.0019117

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