Das Sayoni, Sillitoe Ian, Lee David, Lees Jonathan G, Dawson Natalie L, Ward John, Orengo Christine A
Institute of Structural and Molecular Biology, UCL, Darwin Building, Gower Street, WC1E 6BT, UK
Institute of Structural and Molecular Biology, UCL, Darwin Building, Gower Street, WC1E 6BT, UK.
Nucleic Acids Res. 2015 Jul 1;43(W1):W148-53. doi: 10.1093/nar/gkv488. Epub 2015 May 11.
The widening function annotation gap in protein databases and the increasing number and diversity of the proteins being sequenced presents new challenges to protein function prediction methods. Multidomain proteins complicate the protein sequence-structure-function relationship further as new combinations of domains can expand the functional repertoire, creating new proteins and functions. Here, we present the FunFHMMer web server, which provides Gene Ontology (GO) annotations for query protein sequences based on the functional classification of the domain-based CATH-Gene3D resource. Our server also provides valuable information for the prediction of functional sites. The predictive power of FunFHMMer has been validated on a set of 95 proteins where FunFHMMer performs better than BLAST, Pfam and CDD. Recent validation by an independent international competition ranks FunFHMMer as one of the top function prediction methods in predicting GO annotations for both the Biological Process and Molecular Function Ontology. The FunFHMMer web server is available at http://www.cathdb.info/search/by_funfhmmer.
蛋白质数据库中功能注释差距的不断扩大以及测序蛋白质数量和多样性的日益增加,给蛋白质功能预测方法带来了新的挑战。多结构域蛋白质使蛋白质序列 - 结构 - 功能关系更加复杂,因为结构域的新组合可以扩展功能库,创造新的蛋白质和功能。在此,我们展示了FunFHMMer网络服务器,它基于基于结构域的CATH - Gene3D资源的功能分类为查询蛋白质序列提供基因本体(GO)注释。我们的服务器还为功能位点的预测提供有价值的信息。FunFHMMer的预测能力已在一组95种蛋白质上得到验证,在这些蛋白质上FunFHMMer的表现优于BLAST、Pfam和CDD。最近在一项独立的国际竞赛中的验证将FunFHMMer列为预测生物过程和分子功能本体的GO注释的顶级功能预测方法之一。FunFHMMer网络服务器可在http://www.cathdb.info/search/by_funfhmmer获取。