qFit 3: Protein and ligand multiconformer modeling for X‐ray crystallographic and single‐particle cryo‐EM density maps

New X‐ray crystallography and cryo‐electron microscopy (cryo‐EM) approaches yield vast amounts of structural data from dynamic proteins and their complexes. Modeling the full conformational ensemble can provide important biological insights, but identifying and modeling an internally consistent set...

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Veröffentlicht in:Protein science 2021-01, Vol.30 (1), p.270-285
Hauptverfasser: Riley, Blake T., Wankowicz, Stephanie A., Oliveira, Saulo H. P., Zundert, Gydo C. P., Hogan, Daniel W., Fraser, James S., Keedy, Daniel A., Bedem, Henry
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Sprache:eng
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Zusammenfassung:New X‐ray crystallography and cryo‐electron microscopy (cryo‐EM) approaches yield vast amounts of structural data from dynamic proteins and their complexes. Modeling the full conformational ensemble can provide important biological insights, but identifying and modeling an internally consistent set of alternate conformations remains a formidable challenge. qFit efficiently automates this process by generating a parsimonious multiconformer model. We refactored qFit from a distributed application into software that runs efficiently on a small server, desktop, or laptop. We describe the new qFit 3 software and provide some examples. qFit 3 is open‐source under the MIT license, and is available at https://github.com/ExcitedStates/qfit-3.0.
ISSN:0961-8368
1469-896X
1469-896X
DOI:10.1002/pro.4001