title: Incorporating high-throughput proteomics experiments into structural biology pipelines: identification of the low-hanging fruits.
abstract: The last years have seen the emergence of many large-scale proteomics initiatives that have identified thousands of new protein interactions and macromolecular assemblies. However, unfortunately, only a few among the discovered complexes meet the high-quality standards required to be promptly used in structural studies. This has thus created an increasing gap between the number of known protein interactions and complexes and those for which a high-resolution 3-D structure is available. Here, we present and validate a computational strategy to distinguish those complexes found in high-throughput affinity purification experiments that will stand the best chances to successfully express, purify and crystallize with little further intervention. Our method suggests that there are some 50 complexes recently discovered in yeast that could readily enter the structural biology pipelines.
authors.affiliation: Institute for Research in Biomedicine (IRB) and Barcelona Supercomputing Center (BSC), Barcelona, Spain.
authors.forename: Roland A
authors.initials: RA
authors.lastname: Pache
authors.forename: Patrick
authors.initials: P
authors.lastname: Aloy
mesh_terms: D019295:Computational Biology / Q000379:methods*; D011485:Protein Binding; D011487:Protein Conformation; D025941:Protein Interaction Mapping / Q000379:methods; D011506:Proteins / Q000032:analysis / Q000737:chemistry / Q000378:metabolism; D040901:Proteomics / Q000379:methods*; D015203:Reproducibility of Results
chemical_list: D011506:Proteins