6DRV
Beta-galactosidase
Summary for 6DRV
| Entry DOI | 10.2210/pdb6drv/pdb |
| EMDB information | 8908 |
| Descriptor | Beta-galactosidase (1 entity in total) |
| Functional Keywords | cryo-em, amazon web services, relion, hydrolase |
| Biological source | Escherichia coli (strain K12) |
| Total number of polymer chains | 4 |
| Total formula weight | 466409.94 |
| Authors | Cianfrocco, M.A.,Lahiri, I.,DiMaio, F.,Leschziner, A.E. (deposition date: 2018-06-13, release date: 2018-07-11, Last modification date: 2024-10-23) |
| Primary citation | Cianfrocco, M.A.,Lahiri, I.,DiMaio, F.,Leschziner, A.E. cryoem-cloud-tools: A software platform to deploy and manage cryo-EM jobs in the cloud. J. Struct. Biol., 203:230-235, 2018 Cited by PubMed Abstract: Access to streamlined computational resources remains a significant bottleneck for new users of cryo-electron microscopy (cryo-EM). To address this, we have developed tools that will submit cryo-EM analysis routines and atomic model building jobs directly to Amazon Web Services (AWS) from a local computer or laptop. These new software tools ("cryoem-cloud-tools") have incorporated optimal data movement, security, and cost-saving strategies, giving novice users access to complex cryo-EM data processing pipelines. Integrating these tools into the RELION processing pipeline and graphical user interface we determined a 2.2 Å structure of ß-galactosidase in ∼55 h on AWS. We implemented a similar strategy to submit Rosetta atomic model building and refinement to AWS. These software tools dramatically reduce the barrier for entry of new users to cloud computing for cryo-EM and are freely available at cryoem-tools.cloud. PubMed: 29864529DOI: 10.1016/j.jsb.2018.05.014 PDB entries with the same primary citation |
| Experimental method | ELECTRON MICROSCOPY (2.2 Å) |
Structure validation
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