Lipoprotein computational prediction in spirochaetal genomes

Abstract excerpt

Lipoproteins are of great interest in understanding the molecular pathogenesis of spirochaetes. Because spirochaete lipobox sequences exhibit more plasticity than those of other bacteria, application of existing prediction algorithms to emerging sequence data has been problematic. In this paper a novel lipoprotein prediction algorithm is described, designated SpLip, constructed as a hybrid of a lipobox weight...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Leptospirosis research and findings
• Share to Vector-borne infectious diseases
• Share to Viral Infections and Vectors