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SpLip - lipoprotein computational prediction in spirochaetal genomes

Lipoprotein computational prediction in spirochaetal genomes, by J.C. Setubal, M. Reis, J. Matsunaga & D.A. Haake

Microbiology vol. 152, part 1, pp. 113-121

SpLip is a program that predicts lipoproteins in spirochetal genomes. This page provides supplemental information for the paper that describes the program and its results.

Supplemental figures: False positive rates and false positive sequence analysis

Lipoprotein tables:

Leptospira interrogans serovar copenhageni

Leptospira interrogans serovar lai

Treponema pallidum

Treponema denticola

Borrelia burgdorferi

Borrelia garinii

Other tables:

Lipoprotein predictions - summary of results

Training set (with 28 sequences)

Results of SpLip, Psort and LipoP on transmembrane cytoplasmic proteins of spirochaetes (as annotated by SwissProt)

Amino acid frequencies in Leptospira interrogans serovar copenhageni predicted lipoproteins, compared with SwissProt E. coli lipoproteins (predicted probables and possibles)

Amino acid frequencies in Leptospira interrogans serovar copenhageni predicted lipoproteins, compared with SwissProt E. coli lipoproteins (predicted probables only)







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