Building de novo cryo-electron microscopy structures collaboratively with citizen scientists
Open Access
- 12 November 2019
- journal article
- research article
- Published by Public Library of Science (PLoS) in PLoS Biology
- Vol. 17 (11), e3000472
- https://doi.org/10.1371/journal.pbio.3000472
Abstract
With the rapid improvement of cryo-electron microscopy (cryo-EM) resolution, new computational tools are needed to assist and improve upon atomic model building and refinement options. This communication demonstrates that microscopists can now collaborate with the players of the computer game Foldit to generate high-quality de novo structural models. This development could greatly speed the generation of excellent cryo-EM structures when used in addition to current methods.This publication has 35 references indexed in Scilit:
- Phylo: A Citizen Science Approach for Improving Multiple Sequence AlignmentPLOS ONE, 2012
- Predicting protein structures with a multiplayer online gameNature, 2010
- Features and development of CootActa crystallographica. Section D, Structural biology, 2010
- PHENIX: a comprehensive Python-based system for macromolecular structure solutionActa crystallographica. Section D, Structural biology, 2010
- Automated macromolecular model building for X-ray crystallography using ARP/wARP version 7Nature Protocols, 2008
- 3.88 Å structure of cytoplasmic polyhedrosis virus by cryo-electron microscopyNature, 2008
- Near-atomic resolution using electron cryomicroscopy and single-particle reconstructionProceedings of the National Academy of Sciences of the United States of America, 2008
- TheBuccaneersoftware for automated model building. 1. Tracing protein chainsActa crystallographica. Section D, Structural biology, 2006
- Atomic model of plant light-harvesting complex by electron crystallographyNature, 1994
- Model for the structure of bacteriorhodopsin based on high-resolution electron cryo-microscopyJournal of Molecular Biology, 1990