Detection of unrelated proteins in sequences multiple alignments by using predicted secondary structures

M. Errami, C. Geourjon, G. Deleage
2003 Bioinformatics  
Motivation: Multiple sequence alignments are essential tools for establishing the homology relations between proteins. Essential amino acids for the function and/or the structure are generally conserved, thus providing key arguments to help in protein characterization. However for distant proteins, it is more difficult to establish, in a reliable way, the homology relations that may exist between them. In this article, we show that secondary structure prediction is a valuable way to validate
more » ... way to validate protein families at low identity rate. Results: We show that the analysis of the secondary structures compatibility is a reliable way to discard nonrelated proteins in low identity multiple alignment. Availability: This validation is possible through our NPS@ server (http://npsa-
doi:10.1093/bioinformatics/btg016 pmid:12611806 fatcat:hd7fohpvwbb45j7mqcwgxz5nua