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An overview of in silico protein function prediction

Tipo de material: TextoTextoSeries ; Arch. Microbiol., DOI 10.1007/s00203-010-0549-9, 2010Trabajos contenidos:
  • Sleator, R.D
  • Walsh, P
Tema(s): Recursos en línea: Resumen: As the protein databases continue to expand at an exponential rate, fed by daily uploads from multiple large scale genomic and metagenomic projects, the problem of assigning a function to each new protein has become the focus of signiWcant research interest in recent times. Herein, we review the most recent advances in the Weld of automated function prediction (AFP). We begin by deWning what is meant by biological "function" and the means of describing such functions using standardised machine readable ontologies. We then focus on the various function-prediction programs available, both sequence and structure based, and outline their associated strengths and weaknesses. Finally, we conclude with a brief overview of the future challenges and outstanding questions in the Weld, which still remain unanswered.
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As the protein databases continue to expand at an exponential rate, fed by daily uploads from multiple large scale genomic and metagenomic projects, the problem of assigning a function to each new protein has become the focus of signiWcant research interest in recent times. Herein, we review the most recent advances in the Weld of automated function prediction (AFP). We begin by deWning what is meant by biological "function" and the means of describing such functions using standardised machine readable ontologies. We then focus on the various function-prediction programs available, both sequence and structure based, and outline their associated strengths and weaknesses. Finally, we conclude with a brief overview of the future challenges and outstanding questions in the Weld, which still remain unanswered.

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