MolProbity: all-atom structure validation for macromolecular crystallography
Vincent B. Chen,W. Bryan Arendall,Jeffrey J. Headd,Daniel A. Keedy,R.M. Immormino,Gary J. Kapral,Laura Weston Murray,Jane S. Richardson,David S. Richardson +8 more
TLDR
MolProbity structure validation will diagnose most local errors in macromolecular crystal structures and help to guide their correction.Abstract:
MolProbity is a structure-validation web service that provides broad-spectrum solidly based evaluation of model quality at both the global and local levels for both proteins and nucleic acids. It relies heavily on the power and sensitivity provided by optimized hydrogen placement and all-atom contact analysis, complemented by updated versions of covalent-geometry and torsion-angle criteria. Some of the local corrections can be performed automatically in MolProbity and all of the diagnostics are presented in chart and graphical forms that help guide manual rebuilding. X-ray crystallography provides a wealth of biologically important molecular data in the form of atomic three-dimensional structures of proteins, nucleic acids and increasingly large complexes in multiple forms and states. Advances in automation, in everything from crystallization to data collection to phasing to model building to refinement, have made solving a structure using crystallography easier than ever. However, despite these improvements, local errors that can affect biological interpretation are widespread at low resolution and even high-resolution structures nearly all contain at least a few local errors such as Ramachandran outliers, flipped branched protein side chains and incorrect sugar puckers. It is critical both for the crystallographer and for the end user that there are easy and reliable methods to diagnose and correct these sorts of errors in structures. MolProbity is the authors' contribution to helping solve this problem and this article reviews its general capabilities, reports on recent enhancements and usage, and presents evidence that the resulting improvements are now beneficially affecting the global database.read more
Citations
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PHENIX: a comprehensive Python-based system for macromolecular structure solution
Paul D. Adams,Paul D. Adams,Pavel V. Afonine,Gábor Bunkóczi,Vincent B. Chen,Ian W. Davis,Nathaniel Echols,Jeffrey J. Headd,Li-Wei Hung,Gary J. Kapral,Ralf W. Grosse-Kunstleve,Airlie J. McCoy,Nigel W. Moriarty,Robert D. Oeffner,Randy J. Read,David S. Richardson,Jane S. Richardson,Thomas C. Terwilliger,Peter H. Zwart +18 more
TL;DR: The PHENIX software for macromolecular structure determination is described and its uses and benefits are described.
Journal ArticleDOI
Structure, Function, and Antigenicity of the SARS-CoV-2 Spike Glycoprotein.
Alexandra C. Walls,Young-Jun Park,M. Alejandra Tortorici,M. Alejandra Tortorici,Abigail Wall,Andrew T. McGuire,Andrew T. McGuire,David Veesler +7 more
TL;DR: It is demonstrating that cross-neutralizing antibodies targeting conserved S epitopes can be elicited upon vaccination, and it is shown that SARS-CoV-2 S uses ACE2 to enter cells and that the receptor-binding domains of Sars- coV- 2 S and SARS S bind with similar affinities to human ACE2, correlating with the efficient spread of SATS among humans.
Journal ArticleDOI
Towards automated crystallographic structure refinement with phenix.refine
Pavel V. Afonine,Ralf W. Grosse-Kunstleve,Nathaniel Echols,Jeffrey J. Headd,Nigel W. Moriarty,Marat Mustyakimov,Thomas C. Terwilliger,Alexandre Urzhumtsev,Alexandre Urzhumtsev,Peter H. Zwart,Paul D. Adams,Paul D. Adams +11 more
TL;DR: This paper presents an overview of the major phenix.refine features, with extensive literature references for readers interested in more detailed discussions of the methods.
Journal ArticleDOI
Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix
Dorothee Liebschner,Pavel V. Afonine,Matthew L. Baker,Gábor Bunkóczi,Vincent B. Chen,Tristan I. Croll,Bradley J. Hintze,Li-Wei Hung,Swati Jain,Airlie J. McCoy,Nigel W. Moriarty,Robert D. Oeffner,Billy K. Poon,Michael G. Prisant,Randy J. Read,Jane S. Richardson,David S. Richardson,Sammito,Oleg V. Sobolev,Duncan H. Stockwell,Thomas C. Terwilliger,Alexandre Urzhumtsev,Alexandre Urzhumtsev,Lizbeth L. Videau,Carmen J. Williams,Paul D. Adams,Paul D. Adams +26 more
TL;DR: Recent developments in the Phenix software package are described in the context of macromolecular structure determination using X-rays, neutrons and electrons.
Journal ArticleDOI
Crystal structure of the β2 adrenergic receptor-Gs protein complex.
Søren G. F. Rasmussen,Brian T. DeVree,Yaozhong Zou,Andrew C. Kruse,Ka Young Chung,Tong Sun Kobilka,Foon Sun Thian,Pil Seok Chae,Els Pardon,Els Pardon,Diane M. Calinski,Jesper Mosolff Mathiesen,Syed T. A. Shah,Joseph A. Lyons,Martin Caffrey,Samuel H. Gellman,Jan Steyaert,Jan Steyaert,Georgios Skiniotis,William I. Weis,Roger K. Sunahara,Brian K. Kobilka +21 more
TL;DR: This crystal structure represents the first high-resolution view of transmembrane signalling by a GPCR and the most surprising observation is a major displacement of the α-helical domain of Gαs relative to the Ras-like GTPase domain.
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