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Updated: Jul 8, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
The SeqFEATURE library of 3D functional site models: comparison to existing methods and applications to protein
Shirley Wu1, Mike P Liang, Russ B Altman
1Program in Biomedical Informatics, Stanford University, Stanford, CA, 94305 USA.
Abstract:
Structural genomics efforts have led to increasing numbers of novel, uncharacterized protein structures with low sequence identity to known proteins, resulting in a growing need for structure-based function recognition tools. Our method, SeqFEATURE, robustly models protein functions described by sequence motifs using a structural representation. We built a library of models that shows good performance compared to other methods. In particular, SeqFEATURE demonstrates significant improvement over other methods when sequence and structural similarity are low.
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