title: Improving the sensitivity and specificity of protein homology search by incorporating predicted secondary structures.
abstract: In this paper, we improve the homology search performance by the combination of the predicted protein secondary structures and protein sequences. Previous research suggested that the straightforward combination of predicted secondary structures did not improve the homology search performance, mostly because of the errors in the structure prediction. We solved this problem by taking into account the confidence scores output by the prediction programs.
authors.affiliation: Computer Science Department, University of Western Ontario, London, ON N6A 5B7, Canada. bma@csd.uwo.ca
authors.forename: Bin
authors.initials: B
authors.lastname: Ma
authors.forename: Lieyu
authors.initials: L
authors.lastname: Wu
authors.forename: Kaizhong
authors.initials: K
authors.lastname: Zhang
mesh_terms: D019295:Computational Biology / Q000379:methods*; D008969:Molecular Sequence Data; D017433:Protein Structure, Secondary; D011506:Proteins / Q000737:chemistry*; D012680:Sensitivity and Specificity; D012984:Software; D040681:Structural Homology, Protein
chemical_list: D011506:Proteins