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Updated: Sep 21, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Effective query filtering for fast homology searching
1Department of Computer Science, RMIT University, Melbourne, Australia. hugh@cs.rmit.edu.au
Abstract:
To improve the accuracy of rapid homology searching it is common practice to filter all queries to mask low complexity regions prior to searching. We show in this paper, through a large-scale study of querying the PIR database, that applying popular filtering techniques unselectively to all queries may reduce retrieval effectiveness. We also show that masking queries with our new technique, cafefilter, which uses the overall distribution of motifs in a database, is at least as effective as current popular query filtering tools in large-scale tests.
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