Details

Autor(en) / Beteiligte

• Das, Sayoni
• Orengo, Christine A.

Titel

Protein function annotation using protein domain family resources

Ist Teil von

• Methods (San Diego, Calif.), 2016-01, Vol.93, p.24-34

Ort / Verlag

United States: Elsevier Inc

Erscheinungsjahr

2016

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• •Homology based predictions from protein families perform well.•Functional classification of protein families increase accuracy of function prediction.•FunFHMMer classifies CATH superfamilies into functionally coherent ‘FunFams’ which perform well in function annotation. 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 resources with a special focus on functional families in the CATH-Gene3D resource.