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Updated: Jun 27, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Function prediction of hypothetical proteins without sequence similarity to proteins of known function
S Kannan1, A M Hauth, G Burger
1Center Robert Cedergren for Bioinformatics and Genomics, Département de Biochimie, Université de Montréal, 2900 Edouard-Montpetit, Montréal, Québec, H3T 1J4, Canada. sivakumar.kannan@umontreal.ca
Abstract:
Function prediction by sequence-similarity based methods identifies only approximately 50% of the proteins deduced from newly sequenced genomes. We have developed an approach to annotate the 'leftover proteins' i.e., those which cannot be assigned function using sequence similarity. Our method (MOPS) is pan-taxonomic, predicting fine-grained molecular function (rather than a broad functional category) with high performance. In addition, we developed a validation scheme that assesses predictions using domain-specific knowledge.
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