The Need for Community Standards to Enable Accurate Comparison of Glycoproteomics Algorithm Performance.

ABSTRACT: Protein glycosylation that mediates interactions among viral proteins, host receptors, and immune molecules is an important consideration for predicting viral antigenicity. Viral spike proteins, the proteins responsible for host cell invasion, are especially important to be examined. However, there is a lack of consensus within the field of glycoproteomics regarding identification strategy and false discovery rate (FDR) calculation that impedes our examinations. As a case study in the overlap between software, here as a case study, we examine recently published SARS-CoV-2 glycoprotein datasets with four glycoproteomics identification software with their recommended protocols: GlycReSoft, Byonic, pGlyco2, and MSFragger-Glyco. These software use different Target-Decoy Analysis (TDA) forms to

SUBMITTER: Hackett WE 

PROVIDER: S-EPMC8398183 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature