Real-space refinement with DireX: from global fitting to side-chain improvements.

Single-particle cryo-electron microscopy (cryo-EM) has become an important tool to determine the structure of large biomolecules and assemblies thereof. However, the achievable resolution varies considerably over a wide range of about 3.5-20 Å. The interpretation of these intermediate- to low-resolution density maps in terms of atomic models is a big challenge and an area of active research. Here, we present our real-space structure refinement program DireX, which was developed primarily for cryo-EM-derived density maps. The basic principle and its main features are described. DireX employs Deformable Elastic Network (DEN) restraints to reduce overfitting by decreasing the effective number of degrees of freedom used in the refinement. Missing or reduced density due to flexible parts of the protein can lead to artifacts in the structure refinement, which is addressed through the concept of restrained grouped occupancy refinement. Furthermore, we describe the performance of DireX in the 2010 Cryo-EM Modeling Challenge, where we chose six density maps of four different proteins provided by the Modeling Challenge exemplifying typical refinement results at a large resolution range from 3 to 23 Å.

[1]  Masafumi Yohda,et al.  Crystal structures of the group II chaperonin from Thermococcus strain KS-1: steric hindrance by the substituted amino acid, and inter-subunit rearrangement between two crystal forms. , 2004, Journal of molecular biology.

[2]  A. Horwich,et al.  The crystal structure of the asymmetric GroEL–GroES–(ADP)7 chaperonin complex , 1997, Nature.

[3]  F. Tama,et al.  Flexible multi-scale fitting of atomic structures into low-resolution electron density maps with elastic network normal mode analysis. , 2004, Journal of molecular biology.

[4]  Axel T Brunger,et al.  Exploring the structural dynamics of the E.coli chaperonin GroEL using translation-libration-screw crystallographic refinement of intermediate states. , 2004, Journal of molecular biology.

[5]  Michael Levitt,et al.  Super-resolution biomolecular crystallography with low-resolution data , 2010, Nature.

[6]  Charu Chaudhry,et al.  Role of the γ‐phosphate of ATP in triggering protein folding by GroEL–GroES: function, structure and energetics , 2003, The EMBO journal.

[7]  R. Diamond A real-space refinement procedure for proteins , 1971 .

[8]  M. Delarue,et al.  On the use of low-frequency normal modes to enforce collective movements in refining macromolecular structural models. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[9]  Michael S. Chapman,et al.  Restrained real-space macromolecular atomic refinement using a new resolution-dependent electron-density function , 1995 .

[10]  J. Mccammon,et al.  Situs: A package for docking crystal structures into low-resolution maps from electron microscopy. , 1999, Journal of structural biology.

[11]  Andrej Sali,et al.  Inferential optimization for simultaneous fitting of multiple components into a CryoEM map of their assembly. , 2009, Journal of molecular biology.

[12]  Dong-Hua Chen,et al.  De novo backbone trace of GroEL from single particle electron cryomicroscopy. , 2008, Structure.

[13]  A. Brunger Version 1.2 of the Crystallography and NMR system , 2007, Nature Protocols.

[14]  Thomas C. Terwilliger,et al.  Electronic Reprint Biological Crystallography Automated Main-chain Model Building by Template Matching and Iterative Fragment Extension , 2022 .

[15]  A. Roseman Docking structures of domains into maps from cryo-electron microscopy using local correlation. , 2000, Acta crystallographica. Section D, Biological crystallography.

[16]  Michael Levitt,et al.  Combining efficient conformational sampling with a deformable elastic network model facilitates structure refinement at low resolution. , 2007, Structure.

[17]  Magali Mathieu,et al.  Atomic structure of the major capsid protein of rotavirus: implications for the architecture of the virion , 2001, The EMBO journal.

[18]  G. Vriend,et al.  Prediction of protein conformational freedom from distance constraints , 1997, Proteins.

[19]  Conrad C. Huang,et al.  UCSF Chimera—A visualization system for exploratory research and analysis , 2004, J. Comput. Chem..

[20]  M. Baker,et al.  Refinement of protein structures by iterative comparative modeling and CryoEM density fitting. , 2006, Journal of molecular biology.

[21]  P. Emsley,et al.  Features and development of Coot , 2010, Acta crystallographica. Section D, Biological crystallography.

[22]  M. Levitt,et al.  Mechanism of Folding Chamber Closure in a Group II Chaperonin , 2010, Nature.

[23]  Marek Orzechowski,et al.  Flexible fitting of high-resolution x-ray structures into cryoelectron microscopy maps using biased molecular dynamics simulations. , 2008, Biophysical journal.

[24]  B. Gowen,et al.  ATP-Bound States of GroEL Captured by Cryo-Electron Microscopy , 2001, Cell.

[25]  P. Chacón,et al.  Multi-resolution contour-based fitting of macromolecular structures. , 2002, Journal of molecular biology.

[26]  Thomas Walz,et al.  Principles of membrane protein interactions with annular lipids deduced from aquaporin-0 2D crystals , 2010, The EMBO journal.

[27]  Wei Zhang,et al.  Combining X-Ray Crystallography and Electron Microscopy , 2005, Structure.

[28]  R J Read,et al.  Crystallography & NMR system: A new software suite for macromolecular structure determination. , 1998, Acta crystallographica. Section D, Biological crystallography.

[29]  N. Volkmann,et al.  Quantitative fitting of atomic models into observed densities derived by electron microscopy. , 1999, Journal of structural biology.

[30]  M. Rossmann,et al.  Fitting atomic models into electron-microscopy maps. , 2000, Acta crystallographica. Section D, Biological crystallography.

[31]  M. Baker,et al.  Modeling protein structure at near atomic resolutions with Gorgon. , 2011, Journal of structural biology.

[32]  Serge X. Cohen,et al.  Automated macromolecular model building for X-ray crystallography using ARP/wARP version 7 , 2008, Nature Protocols.

[33]  Ben M. Webb,et al.  Protein structure fitting and refinement guided by cryo-EM density. , 2008, Structure.

[34]  Leonardo G. Trabuco,et al.  Flexible fitting of atomic structures into electron microscopy maps using molecular dynamics. , 2008, Structure.

[35]  Wenjun Zheng,et al.  Accurate flexible fitting of high-resolution protein structures into cryo-electron microscopy maps using coarse-grained pseudo-energy minimization. , 2011, Biophysical journal.

[36]  Z. Zhou,et al.  Towards atomic resolution structural determination by single-particle cryo-electron microscopy. , 2008, Current opinion in structural biology.

[37]  Z Chen,et al.  Real-space molecular-dynamics structure refinement. , 1999, Acta crystallographica. Section D, Biological crystallography.

[38]  Joachim Frank,et al.  Molding atomic structures into intermediate-resolution cryo-EM density maps of ribosomal complexes using real-space refinement. , 2005, Structure.

[39]  M. Baker,et al.  Identification of secondary structure elements in intermediate-resolution density maps. , 2007, Structure.

[40]  J. Zou,et al.  Improved methods for building protein models in electron density maps and the location of errors in these models. , 1991, Acta crystallographica. Section A, Foundations of crystallography.

[41]  S. Harrison,et al.  Near-atomic resolution using electron cryomicroscopy and single-particle reconstruction , 2008, Proceedings of the National Academy of Sciences.

[42]  Karsten Suhre,et al.  NORMA: a tool for flexible fitting of high-resolution protein structures into low-resolution electron-microscopy-derived density maps. , 2006, Acta crystallographica. Section D, Biological crystallography.

[43]  S. Harrison,et al.  Lipid–protein interactions in double-layered two-dimensional AQP0 crystals , 2005, Nature.

[44]  M. S. Chapman,et al.  Fitting of high-resolution structures into electron microscopy reconstruction images. , 2005, Structure.

[45]  A. Brunger Free R value: a novel statistical quantity for assessing the accuracy of crystal structures. , 1992 .

[46]  H. Saibil,et al.  Allosteric signaling of ATP hydrolysis in GroEL–GroES complexes , 2006, Nature Structural &Molecular Biology.

[47]  Richard Bertram,et al.  Simulated-annealing real-space refinement as a tool in model building. , 2002, Acta crystallographica. Section D, Biological crystallography.

[48]  W. Kabsch,et al.  Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features , 1983, Biopolymers.

[49]  Adam Zemla,et al.  LGA: a method for finding 3D similarities in protein structures , 2003, Nucleic Acids Res..

[50]  Vincent B. Chen,et al.  Correspondence e-mail: , 2000 .