PMC:5137214 / 42160-43099 JSONTXT

{"project":"2_test","denotations":[{"id":"27980500-18327264-22679493","span":{"begin":931,"end":933},"obj":"18327264"},{"id":"27980500-24493012-22679494","span":{"begin":935,"end":937},"obj":"24493012"}],"text":"At the same time, there is renewed interest to perform crosslinker studies on a large scale, which in addition to identifying protein–protein interaction partners, can provide information on the topology and protein domains involved in the interactions. Again we note that the development of new proteomics methodologies now necessitates hand-in-hand advances of novel data science solutions almost without exception. An example is the application of chemical cross-linkers in proteomics, which allows the linking of proximal proteins to quantify the degrees and likelihood of protein–protein interactions in their native cellular environment. Cross-linking proteomics experiments are however infeasible without specialized search engines that can consider the combinatorics of crosslinked peptide sequences, and identify interacting proteins whilst controlling for the FDR that result from the quadratic increase of search space [83, 84]."}