Literature DB >> 26032515

Residue-level global and local ensemble-ensemble comparisons of protein domains.

Sarah A Clark1, Dale E Tronrud1, P Andrew Karplus1.   

Abstract

Many methods of protein structure generation such as NMR-based solution structure determination and template-based modeling do not produce a single model, but an ensemble of models consistent with the available information. Current strategies for comparing ensembles lose information because they use only a single representative structure. Here, we describe the ENSEMBLATOR and its novel strategy to directly compare two ensembles containing the same atoms to identify significant global and local backbone differences between them on per-atom and per-residue levels, respectively. The ENSEMBLATOR has four components: eePREP (ee for ensemble-ensemble), which selects atoms common to all models; eeCORE, which identifies atoms belonging to a cutoff-distance dependent common core; eeGLOBAL, which globally superimposes all models using the defined core atoms and calculates for each atom the two intraensemble variations, the interensemble variation, and the closest approach of members of the two ensembles; and eeLOCAL, which performs a local overlay of each dipeptide and, using a novel measure of local backbone similarity, reports the same four variations as eeGLOBAL. The combination of eeGLOBAL and eeLOCAL analyses identifies the most significant differences between ensembles. We illustrate the ENSEMBLATOR's capabilities by showing how using it to analyze NMR ensembles and to compare NMR ensembles with crystal structures provides novel insights compared to published studies. One of these studies leads us to suggest that a "consistency check" of NMR-derived ensembles may be a useful analysis step for NMR-based structure determinations in general. The ENSEMBLATOR 1.0 is available as a first generation tool to carry out ensemble-ensemble comparisons.
© 2015 The Protein Society.

Entities:  

Keywords:  NMR ensemble; Rosetta; force field optimization; homology modeling; protein comparisons; structure prediction; structure validation; superposition; template-based modeling

Mesh:

Substances:

Year:  2015        PMID: 26032515      PMCID: PMC4570546          DOI: 10.1002/pro.2714

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  32 in total

1.  Solution structure and dynamics of ribonuclease Sa.

Authors:  D Laurents; J M Pérez-Cañadillas; J Santoro; M Rico; D Schell; C N Pace; M Bruix
Journal:  Proteins       Date:  2001-08-15

2.  SuperPose: a simple server for sophisticated structural superposition.

Authors:  Rajarshi Maiti; Gary H Van Domselaar; Haiyan Zhang; David S Wishart
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

3.  Ribonuclease from Streptomyces aureofaciens at atomic resolution.

Authors:  J Sevcik; Z Dauter; V S Lamzin; K S Wilson
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  1996-03-01

4.  Inclusion of thermal motion in crystallographic structures by restrained molecular dynamics.

Authors:  P Gros; W F van Gunsteren; W G Hol
Journal:  Science       Date:  1990-09-07       Impact factor: 47.728

5.  Restriction versus guidance in protein structure prediction.

Authors:  Joseph A Hegler; Joachim Lätzer; Amarda Shehu; Cecilia Clementi; Peter G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-24       Impact factor: 11.205

6.  Integrated description of protein dynamics from room-temperature X-ray crystallography and NMR.

Authors:  R Bryn Fenwick; Henry van den Bedem; James S Fraser; Peter E Wright
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-13       Impact factor: 11.205

7.  Exhaustive enumeration of protein conformations using experimental restraints.

Authors:  R S DeWitte; S W Michnick; E I Shakhnovich
Journal:  Protein Sci       Date:  1995-09       Impact factor: 6.725

8.  Objective identification of residue ranges for the superposition of protein structures.

Authors:  Donata K Kirchner; Peter Güntert
Journal:  BMC Bioinformatics       Date:  2011-05-18       Impact factor: 3.169

9.  Protein Geometry Database: a flexible engine to explore backbone conformations and their relationships to covalent geometry.

Authors:  Donald S Berkholz; Peter B Krenesky; John R Davidson; P Andrew Karplus
Journal:  Nucleic Acids Res       Date:  2009-11-11       Impact factor: 16.971

10.  Interpretation of ensembles created by multiple iterative rebuilding of macromolecular models.

Authors:  Thomas C Terwilliger; Ralf W Grosse-Kunstleve; Pavel V Afonine; Paul D Adams; Nigel W Moriarty; Peter Zwart; Randy J Read; Dusan Turk; Li Wei Hung
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2007-04-21
View more
  6 in total

1.  NMR structure of the HIV-1 reverse transcriptase thumb subdomain.

Authors:  Naima G Sharaf; Andrew E Brereton; In-Ja L Byeon; P Andrew Karplus; Angela M Gronenborn
Journal:  J Biomol NMR       Date:  2016-11-17       Impact factor: 2.835

2.  Ensemblator v3: Robust atom-level comparative analyses and classification of protein structure ensembles.

Authors:  Andrew E Brereton; P Andrew Karplus
Journal:  Protein Sci       Date:  2017-08-11       Impact factor: 6.725

3.  The LC8-RavP ensemble Structure Evinces A Role for LC8 in Regulating Lyssavirus Polymerase Functionality.

Authors:  Nathan E Jespersen; Cedric Leyrat; Francine C Gérard; Jean-Marie Bourhis; Danielle Blondel; Marc Jamin; Elisar Barbar
Journal:  J Mol Biol       Date:  2019-10-18       Impact factor: 5.469

4.  Ligand-induced shifts in conformational ensembles that describe transcriptional activation.

Authors:  Sabab Hasan Khan; Sean M Braet; Stephen John Koehler; Elizabeth Elacqua; Ganesh Srinivasan Anand; C Denise Okafor
Journal:  Elife       Date:  2022-10-12       Impact factor: 8.713

Review 5.  Identifying and Visualizing Macromolecular Flexibility in Structural Biology.

Authors:  Martina Palamini; Anselmo Canciani; Federico Forneris
Journal:  Front Mol Biosci       Date:  2016-09-09

6.  Automated NMR resonance assignments and structure determination using a minimal set of 4D spectra.

Authors:  Thomas Evangelidis; Santrupti Nerli; Jiří Nováček; Andrew E Brereton; P Andrew Karplus; Rochelle R Dotas; Vincenzo Venditti; Nikolaos G Sgourakis; Konstantinos Tripsianes
Journal:  Nat Commun       Date:  2018-01-26       Impact factor: 14.919

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.