Visions & Reflections (Minireview)

Cellular and Molecular Life Sciences

, 64:2505

First online:

Computational protein function prediction: Are we making progress?

  • A. GodzikAffiliated withBurnham Institute for Medical Research
  • , M. JambonAffiliated withBurnham Institute for Medical Research
  • , I. FriedbergAffiliated withBurnham Institute for Medical ResearchUniversity of California, San Diego Email author 

Rent the article at a discount

Rent now

* Final gross prices may vary according to local VAT.

Get Access

Abstract.

The computational prediction of gene and protein function is rapidly gaining ground as a central undertaking in computational biology. Making sense of the flood of genomic data requires fast and reliable annotation. Many ingenious algorithms have been devised to infer a protein’s function from its amino acid sequence, 3D structure and chromosomal location of the encoding genes. However, there are significant challenges in assessing how well these programs perform. In this article we explore those challenges and review our own attempt at assessing the performance of those programs. We conclude that the task is far from complete and that a critical assessment of the performance of function prediction programs is necessary to make true progress in computational function prediction.

Keywords.

Protein function prediction bioinformatics CASP AFP aspartate dehydrogenase aspartate oxidase non-orthologous replacement NAD synthesis