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Masking residues using context-specific evolutionary conservation significantly improves short linear motif discovery

Davey, Norman E., Shields, Denis C. and Edwards, Richard J. (2009) Masking residues using context-specific evolutionary conservation significantly improves short linear motif discovery Bioinformatics, 25, (4), pp. 443-450. (doi:10.1093/bioinformatics/btn664).

Record type: Article



Short linear motifs (SLiMs) are important mediators of protein–protein interactions. Their short and degenerate nature presents a challenge for computational discovery. We sought to improve SLiM discovery by incorporating evolutionary information, since SLiMs are more conserved than surrounding residues.


We have developed a new method that assesses the evolutionary signal of a residue in its sequence and structural context. Under-conserved residues are masked out prior to SLiM discovery, allowing incorporation into the existing statistical model employed by SLiMFinder. The method shows considerable robustness in terms of both the conservation score used for individual residues and the size of the sequence neighbourhood.

Optimal parameters significantly improve return of known functional motifs from benchmarking data, raising the return of significant validated SLiMs from typical human interaction datasets from 20% to 60%, while retaining the high level of stringency needed for application to real biological data. The success of this regime indicates that it could be of general benefit to computational annotation and prediction of protein function at the sequence level.

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Published date: 2009
Organisations: University of Southampton


Local EPrints ID: 143455
ISSN: 1367-4803
PURE UUID: 697eb28e-f488-4c37-9d2e-e54a29078b4d

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Date deposited: 12 Apr 2010 09:09
Last modified: 18 Jul 2017 23:09

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Author: Norman E. Davey
Author: Denis C. Shields
Author: Richard J. Edwards

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