{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Pino L"],"funding":["NIA NIH HHS","Belgian American Educational Foundation","Fonds Wetenschappelijk Onderzoek","National Institute on Aging"],"pagination":["3936-3943"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6824964"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["18(11)"],"pubmed_abstract":["For the 2018 YPIC Challenge, contestants were invited to try to decipher two unknown English questions encoded by a synthetic protein expressed in <i>Escherichia coli</i>. In addition to deciphering the sentence, contestants were asked to determine the three-dimensional structure and detect any post-translation modifications left by the host organism. We present our experimental and computational strategy to characterize this sample by identifying the unknown protein sequence and detecting the presence of post-translational modifications. The sample was acquired with dynamic exclusion disabled to increase the signal-to-noise ratio of the measured molecules, after which spectral clustering was used to generate high-quality consensus spectra. De novo spectrum identification was used to deter"],"journal":["Journal of proteome research"],"pubmed_title":["2018 YPIC Challenge: A Case Study in Characterizing an Unknown Protein Sample."],"pmcid":["PMC6824964"],"funding_grant_id":["F31 AG055257"],"pubmed_authors":["Lin A","Pino L","Bittremieux W"],"additional_accession":[]},"is_claimable":false,"name":"2018 YPIC Challenge: A Case Study in Characterizing an Unknown Protein Sample.","description":"For the 2018 YPIC Challenge, contestants were invited to try to decipher two unknown English questions encoded by a synthetic protein expressed in <i>Escherichia coli</i>. In addition to deciphering the sentence, contestants were asked to determine the three-dimensional structure and detect any post-translation modifications left by the host organism. We present our experimental and computational strategy to characterize this sample by identifying the unknown protein sequence and detecting the presence of post-translational modifications. The sample was acquired with dynamic exclusion disabled to increase the signal-to-noise ratio of the measured molecules, after which spectral clustering was used to generate high-quality consensus spectra. De novo spectrum identification was used to deter","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Nov","modification":"2026-04-16T11:10:23.706Z","creation":"2019-11-09T08:01:51Z"},"accession":"S-EPMC6824964","cross_references":{"pubmed":["31556620"],"doi":["10.1021/acs.jproteome.9b00384"]}}