Journal
OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
Volume 15, Issue 7-8, Pages 431-438Publisher
MARY ANN LIEBERT, INC
DOI: 10.1089/omi.2010.0122
Keywords
-
Ask authors/readers for more resources
Expansions of sequence databases driven by new sequencing technology continue apace. These result in a continuous supply of protein sequences and domains that cannot be straightforwardly annotated by simple homology methods. For these, structure-based function prediction may contribute to an improved annotation. Here, short Domains of Unknown Function (DUFs) are ab initio modeled with ROSETTA and screened for likely nucleic acid binding function. Thirty-two DUFs are thereby predicted to have a nucleic acid binding function. In most cases, additional evidence supporting that function could be obtained from structure comparison, domain architectures, distant evolutionary relationships, genome context or protein-protein interaction data. These predictions contribute to the function annotation of thousands of proteins.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available