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

Norman E. Davey | Zendy; Denis C. Shields | Zendy; Richard J. Edwards | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Norman E. Davey,

Denis C. Shields,

Richard J. Edwards

Publication year - 2009

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btn664

Subject(s) - conserved sequence , computer science , computational biology , robustness (evolution) , data mining , machine learning , artificial intelligence , biology , peptide sequence , genetics , gene

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research