ゲノム情報科学研究教育機構  アブストラクト
Date January 18, 2008
Speaker Oliver Sander, Max-Planck-Institut-Informatik
Title Inferring Molecular Function from Local Function Conservation in Sequence and Structure Space
Abstract   Inference of protein function based on similarity assumes that function is conserved among similar proteins. But the extent of function conservation may differ considerably between different regions of protein sequence and structure space.

  We present a new protein function prediction method Godot, which determines local function conservation among similar proteins. The method assesses the variability of protein function in protein sequence and structure space and annotates the query protein based on a metric derived from this analysis. The degree of function conservation is regarded as a confidence measure for prediction, high conservation implying high confidence that the respective function is correct.

  This quantitative estimate yields a differentiated view on function conservation, enabling us to predict protein molecular function more accurately than standard methods. Furthermore, we apply the method to 500 functionally unannotated PDB structures and discuss selected examples.
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