While the infrastructure and organization of the EFI are inspired by the PSI, there are significant differences in their objectives, which offer unique opportunities for the EFI. Historically, the primary focus of the PSI has been on increasing the structural coverage of fold and sequence space, and the structure of any member of a particular sequence family is a suitable representative of the entire family. Consequently, all PSI targets are subjected to extensive triage, and only those sequences exhibiting highly favorable characteristics at each step of the pipeline are taken fonward for structure determination. This approach maximizes fold/sequence coverage regardless of functional importance. In contrast, the EFI is explicitly concerned with the discovery of function and thus will frequently necessitate the study of recalcitrant sequences requiring efforts that exceed those commonly expended on any individual PSI target. Accordingly, the PC and SC are positioned to implement considerable primary and secondary rescue strategies in protein purification, crystallization, data collection and structure determination in order to successfully prosecute those targets that are most informative in terms of function, mechanism and evolution. In particular, as needed and detailed below, the expert technical staff of the SC is prepared to provide extensive and expanded efforts in crystallization, data collection and structure determination. Furthermore, beyond these traditional aspects of the structure discovery pipeline, the SC will devote considerable resources to ligand identification efforts in order to 1) obtain direct functional insights, 2) aid in crystallization, and 3) maximize the utility of structures for computational ligand discovery.
| Kenney, Grace E; Dassama, Laura M K; Pandelia, Maria-Eirini et al. (2018) The biosynthesis of methanobactin. Science 359:1411-1416 |
| Park, Yun Ji; Kenney, Grace E; Schachner, Luis F et al. (2018) Repurposed HisC Aminotransferases Complete the Biosynthesis of Some Methanobactins. Biochemistry 57:3515-3523 |
| Calhoun, Sara; Korczynska, Magdalena; Wichelecki, Daniel J et al. (2018) Prediction of enzymatic pathways by integrative pathway mapping. Elife 7: |
| Sheng, Xiang; Patskovsky, Yury; Vladimirova, Anna et al. (2018) Mechanism and Structure of ?-Resorcylate Decarboxylase. Biochemistry 57:3167-3175 |
| Zallot, Rémi; Oberg, Nils O; Gerlt, John A (2018) 'Democratized' genomic enzymology web tools for functional assignment. Curr Opin Chem Biol 47:77-85 |
| Barr, Ian; Stich, Troy A; Gizzi, Anthony S et al. (2018) X-ray and EPR Characterization of the Auxiliary Fe-S Clusters in the Radical SAM Enzyme PqqE. Biochemistry 57:1306-1315 |
| Gizzi, Anthony S; Grove, Tyler L; Arnold, Jamie J et al. (2018) A naturally occurring antiviral ribonucleotide encoded by the human genome. Nature 558:610-614 |
| Gerlt, John A (2017) Genomic Enzymology: Web Tools for Leveraging Protein Family Sequence-Function Space and Genome Context to Discover Novel Functions. Biochemistry 56:4293-4308 |
| Koo, Byoung-Mo; Kritikos, George; Farelli, Jeremiah D et al. (2017) Construction and Analysis of Two Genome-Scale Deletion Libraries for Bacillus subtilis. Cell Syst 4:291-305.e7 |
| Holliday, Gemma L; Brown, Shoshana D; Akiva, Eyal et al. (2017) Biocuration in the structure-function linkage database: the anatomy of a superfamily. Database (Oxford) 2017: |
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