|P.1245 right column 2nd paragraph: "Identification of p-sites [phosphorylation sites] in proteins that have a biotechnologically interesting phenotype related to
metabolism and molecule production: The Saccharomyces Genome Database has mined and stored phenotypes caused by various gene perturbations, such gene over/underexpression or even gene deletion. [Investigators] manually inspected the phenotypes and focused on the ones that, in [their] opinion, are biotechnologically interesting. These phenotype terms mapped to 850 proteins, of which 408 were phosphoproteins, harboring 2363 p-sites. These phosphoproteins were not all annotated as participating in metabolism. By applying a stringent criterion of HC [high confidence] p-sites situated within conserved domains, [they] identified 180 of them in 73 phosphoproteins. These findings are summarized in Table 2. Obviously, there exist a significant number of very good candidate p-sites that may regulate biotechnologically important phenotypes, especially those related to increased chemical compound excretion and increased respiratory growth. These candidates should be the initial targets of future studies, e.g., to examine the phenotypic impact of deleting specific p-sites. Due to the inherent technical and biological noise of phosphorylation data, prioritization of p-sites for detailed study is an important task (Beltrao et al. 2012, Xiao et al. 2016). Readers can perform their own customized prioritization on these data using File S1."