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Proxeon releases free public lookup of proteins and tryptic peptides;The ProteinCenterT Open Access
Proxeon releases free public lookup of proteins and tryptic peptides; The ProteinCenter(tm) Open Access.
Lookup protein accession codes and peptides in a global database with more than 22 million protein accession codes.
One single resource for lookup of any protein accession codes and identifiers from:
GenBank, Refseq, EMBL, UniProt, Swiss-Prot, Trembl, PIR, IPI, PDB, Ensembl etc. Including many of the outdated accession codes.
Overview annotation for the protein in the ProteinCard, including mapping of accession codes, GO, disease, pathway annotation, sequence features etc. It also includes very fast retrieval of richly annotated BLAST neighbors.
Lookup tryptic peptide(s) to see all proteins including the given peptides (6-32 AA and no miscleavages)
Try ProteinCenter(tm) Open Access at: [Only registered users see links. ]
The ProteinCenter(tm) Open Access is part of the complete ProteinCenter(tm) solution.
The single protein lookup in ProteinCenter(tm) Open Access is a small subset of the full functionality provided by the commercial version of ProteinCenter(tm), which takes you to a completely new discovery level, enabling comparison of data sets with thousands of proteins in minutes, with advanced clustering and filtering to quickly reach biological conclusions. ProteinCenter(tm) integrates the contents of a large number of public protein sequence databases and your experimental systems biology data. It provides a number of bioinformatics tools, and much more, to be the most comprehensive bioinformatics analysis tool available for any scientist who looks at protein and sequence information. ProteinCenter(tm) for example enables comparing multiple data sets of thousands of proteins in minutes. Get the true overlap, independently of the original database source. Import analytical results from leading international scientific studies and see your data in a new context. Data sets can be mined, compared and documented in a matter of minutes using a range of truly novel methods for handling large proteomics data sets.
Learn more about ProteinCenter(tm) at: [Only registered users see links. ]
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