Keith L. Williams

TL;DR: Details are given about protein identification and analysis software that is available through the ExPASy World Wide Web server and the extensive annotation available in the Swiss-Prot database is used.

TL;DR: The Progress with Proteome Projects: Why all Proteins Expressed by a Genome Should be Identified and How To Do It as discussed by the authors is an example of such a project.

TL;DR: A protein map of the smallest known self‐replicating organism, Mycoplasma genitalium, revealed a high proportion of acidic proteins, which allowed proteins to be identified prior to detection of their respective genes via the M. genitalium sequencing initiative.

TL;DR: Single protein spots, from polyvinylidene difluoride blots of micropreparative E. coli 2-D gels, were rapidly and economically identified by matching their amino acid composition, estimated pI and molecular weight against all E. bacteria entries in the SWISS-PROT database.

TL;DR: A jury of artificial neural networks was trained to recognize the sequence context and surface accessibility of 299 known and verified mucin type O-glycosylation sites extracted from O-GLYCBASE, and the cross-validated NetOglyc network system correctly found 83% of the glycosylated and 90% ofThe non-glyCosylated serine and threonine residues in independent test sets, thus proving more accurate than matrix statistics and vector projection methods.