Title
Combining Secondary Structure Element Alignment and Profile-Profile Alignment for Fold Recognition
Abstract
e Revised Manuscript Version Abstract: One of the most intensely studied problems of bioinformatics is the pre- diction of a protein structure from an amino acid sequence. In fold recognition, one reduces this problem to assigning a protein of unknown structure to one of the known fold classes as dened in the SCOP or CATH classications. Here, we combine two alignment methods, secondary structure element alignment and log average prole- prole alignment that have been proven to perform well on this task. Our results show that the combination yields remarkably better fold recognition accuracy on well- known benchmark sets obtained from the literature. Especially on a difcult set built by McGufn and Jones this new approach signicantly outperforms other recently proposed fold recognition methods.
Year
Venue
Keywords
2004
German Conference on Bioinformatics
protein structure,secondary structure,amino acid sequence,fold recognition
Field
DocType
Citations 
Biology,Threading (protein sequence),Computational biology,Genetics,Protein secondary structure,Homology modeling
Conference
1
PageRank 
References 
Authors
0.41
9
3
Name
Order
Citations
PageRank
Jan E. Gewehr18117.19
Niklas Von Öhsen2517.93
Ralf Zimmer310.41