Proteomic strategies for rapid characterization of micro-organisms.
Bioinformatic considerations are offered to illustrate strengths and limitations of the characterization of Bacillus spores based on proteomic interpretation of matrix-assisted laser desorption/ionization spectra. In particular, species-specific biomarkers are evaluated in the context of both experimental access and uniqueness in silico.
Fenselau
C
C
University of Maryland, Deptartment of Chemistry and Biochemistry, Center for Bioinformatics and Computational Biology, College Park, MD 20742, USA.
Russell
S
S
Swatkoski
S
S
Edwards
N
N
D000595:Amino Acid Sequence; D001407:Bacillus / Q000737:chemistry* / Q000302:isolation & purification* / Q000378:metabolism; D001426:Bacterial Proteins / Q000737:chemistry*; D015415:Biomarkers / Q000032:analysis / Q000378:metabolism; D019295:Computational Biology; D017909:Levivirus / Q000737:chemistry / Q000378:metabolism; D008969:Molecular Sequence Data; D010455:Peptides / Q000737:chemistry; D040901:Proteomics / Q000379:methods*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*; D013171:Spores, Bacterial / Q000737:chemistry*
D001426:Bacterial Proteins; D015415:Biomarkers; D010455:Peptides