Protein function annotation using protein domain family resources.

@article{Das2016ProteinFA,
  title={Protein function annotation using protein domain family resources.},
  author={Sayoni Das and Christine A. Orengo},
  journal={Methods},
  year={2016},
  volume={93},
  pages={24-34}
}
As a result of the genome sequencing and structural genomics initiatives, we have a wealth of protein sequence and structural data. However, only about 1% of these proteins have experimental functional annotations. As a result, computational approaches that can predict protein functions are essential in bridging this widening annotation gap. This article reviews the current approaches of protein function prediction using structure and sequence based classification of protein domain family… CONTINUE READING
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M. E. Oates, J. Stahlhacke, D. V Vavoulis
Smithers, O.J.L. Rackham, A.J. Sardar, et al., The SUPERFAMILY 1.75 database in 2014: a doubling of data., Nucleic Acids Res. 43 • 2015
View 5 Excerpts
Highly Influenced

Functional Sub-classification of Domain Superfamilies ( Upgrade Report )

S. Das
1 • 2014
View 12 Excerpts
Highly Influenced

The TIGRFAMs database of protein families

Nucleic Acids Research • 2003
View 6 Excerpts
Highly Influenced

Scoring residue conservation.

Proteins • 2002
View 3 Excerpts
Highly Influenced

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