LipoP 1.0a – Prediction of Lipoproteins & Signal Peptides in Gram Negative Bacteria

LipoP 1.0a

:: DESCRIPTION

LipoP produces predictions of lipoproteins and discriminates between lipoprotein signal peptides, other signal peptides and n-terminal membrane helices in Gram-negative bacteria.

::DEVELOPER

DTU Health Tech

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

LipoP

:: MORE INFORMATION

Citation

Methods for the bioinformatic identification of bacterial lipoproteins encoded in the genomes of Gram-positive bacteria
O. Rahman, S. P. Cummings, D. J. Harrington and I. C. Sutcliffe
World Journal of Microbiology and Biotechnology 24(11):2377-2382 (2008)

VICMpred – Prediction of Functional Proteins of Gram-negative Bacteria using Amino Acid Patterns and Composition

VICMpred

:: DESCRIPTION

VICMpred aids in broad functional classification of bacterial proteins into virulence factors, information molecule, cellular process and metabolism molecule.

::DEVELOPER

VICMpred Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Saha, S. and Raghava, G.P.S. (2006)
VICMpred: SVM-based method for the prediction of functional proteins of gram-negative bacteria using amino acid patterns and composition.
Genomics Proteomics & Bioinformatics. 4(1):42-7

antibacTR – Identifying potential Antimicrobial Drug Targets on Gram-negative Bacteria

antibacTR

:: DESCRIPTION

antibacTR (antibacterial Target Ranking) is a computational pipeline designed to aid researchers in the selection of potential drug targets, one of the initial steps in antibacterial-drug discovery.

::DEVELOPER

Xavier Daura

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation:

BMC Genomics. 2014 Jan 17;15:36. doi: 10.1186/1471-2164-15-36.
antibacTR: dynamic antibacterial-drug-target ranking integrating comparative genomics, structural analysis and experimental annotation.
Panjkovich A, Gibert I, Daura X