6DRV
Beta-galactosidase
6DRV の概要
| エントリーDOI | 10.2210/pdb6drv/pdb |
| EMDBエントリー | 8908 |
| 分子名称 | Beta-galactosidase (1 entity in total) |
| 機能のキーワード | cryo-em, amazon web services, relion, hydrolase |
| 由来する生物種 | Escherichia coli (strain K12) |
| タンパク質・核酸の鎖数 | 4 |
| 化学式量合計 | 466409.94 |
| 構造登録者 | Cianfrocco, M.A.,Lahiri, I.,DiMaio, F.,Leschziner, A.E. (登録日: 2018-06-13, 公開日: 2018-07-11, 最終更新日: 2024-10-23) |
| 主引用文献 | 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 主引用文献が同じPDBエントリー |
| 実験手法 | ELECTRON MICROSCOPY (2.2 Å) |
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