Researchers led by the Technical University of Munich (TUM) report on the synthesis of a library of more than 330,000 reference peptides representing essentially all canonical proteins of the human proteome. It is a major milestone in the ProteomeTools project which aims at translating human proteome information into new molecular and digital tools with the potential for use in drug discovery, personalized medicine and life science research. In a manuscript published online on January 30, 2017 in Nature Methods, ProteomeTools scientists report on the synthesis of a library of more than 330,000 reference peptides (termed PROPEL for ProteomeTools Peptide Library) representing essentially all canonical proteins of the human proteome. All peptides were analyzed by multi-modal liquid chromatography-tandem mass spectrometry (LC-MS/MS), creating a compendium of millions of very-high-quality reference spectra (termed PROSPECT for ProteomeTools Spectrum Compendium). The study illustrates the utility of these reagents and data to verify protein identifications from sparse observations and to predict the behavior of peptides during liquid chromatography and tandem mass spectrometry. The Nature Methods article is titled “Building ProteomeTools Based on a Complete Synthetic Human Proteome.” The consortium of TUM, JPT Peptide Technologies (JPT), SAP, and Thermo Fisher Scientific has made the vast quantity of data freely available to the scientific community via the data analytics platform ProteomicsDB (http://www.proteomicsdb.org) and the data repository PRIDE (http://www.ebi.ac.uk/pride) to enable scientists and to foster collaboration around the globe.
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