Protein function annotation using protein domain family resources.

نویسندگان

  • Sayoni Das
  • Christine A Orengo
چکیده

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.

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عنوان ژورنال:
  • Methods

دوره 93  شماره 

صفحات  -

تاریخ انتشار 2016