Literature DB >> 18300241

Toward better refinement of comparative models: predicting loops in inexact environments.

Benjamin D Sellers1, Kai Zhu, Suwen Zhao, Richard A Friesner, Matthew P Jacobson.   

Abstract

Achieving atomic-level accuracy in comparative protein models is limited by our ability to refine the initial, homolog-derived model closer to the native state. Despite considerable effort, progress in developing a generalized refinement method has been limited. In contrast, methods have been described that can accurately reconstruct loop conformations in native protein structures. We hypothesize that loop refinement in homology models is much more difficult than loop reconstruction in crystal structures, in part, because side-chain, backbone, and other structural inaccuracies surrounding the loop create a challenging sampling problem; the loop cannot be refined without simultaneously refining adjacent portions. In this work, we single out one sampling issue in an artificial but useful test set and examine how loop refinement accuracy is affected by errors in surrounding side-chains. In 80 high-resolution crystal structures, we first perturbed 6-12 residue loops away from the crystal conformation, and placed all protein side chains in non-native but low energy conformations. Even these relatively small perturbations in the surroundings made the loop prediction problem much more challenging. Using a previously published loop prediction method, median backbone (N-Calpha-C-O) RMSD's for groups of 6, 8, 10, and 12 residue loops are 0.3/0.6/0.4/0.6 A, respectively, on native structures and increase to 1.1/2.2/1.5/2.3 A on the perturbed cases. We then augmented our previous loop prediction method to simultaneously optimize the rotamer states of side chains surrounding the loop. Our results show that this augmented loop prediction method can recover the native state in many perturbed structures where the previous method failed; the median RMSD's for the 6, 8, 10, and 12 residue perturbed loops improve to 0.4/0.8/1.1/1.2 A. Finally, we highlight three comparative models from blind tests, in which our new method predicted loops closer to the native conformation than first modeled using the homolog template, a task generally understood to be difficult. Although many challenges remain in refining full comparative models to high accuracy, this work offers a methodical step toward that goal.

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Year:  2008        PMID: 18300241      PMCID: PMC2764870          DOI: 10.1002/prot.21990

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  29 in total

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Journal:  Nat Struct Biol       Date:  2001-06

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4.  Assessment of predictions submitted for the CASP6 comparative modeling category.

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5.  Physically realistic homology models built with ROSETTA can be more accurate than their templates.

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Journal:  Proc Natl Acad Sci U S A       Date:  2006-03-27       Impact factor: 11.205

6.  Long loop prediction using the protein local optimization program.

Authors:  Kai Zhu; David L Pincus; Suwen Zhao; Richard A Friesner
Journal:  Proteins       Date:  2006-11-01

7.  Ensemble refinement of protein crystal structures: validation and application.

Authors:  Elena J Levin; Dmitry A Kondrashov; Gary E Wesenberg; George N Phillips
Journal:  Structure       Date:  2007-09       Impact factor: 5.006

8.  Can molecular dynamics simulations provide high-resolution refinement of protein structure?

Authors:  Jianhan Chen; Charles L Brooks
Journal:  Proteins       Date:  2007-06-01

9.  CODA: a combined algorithm for predicting the structurally variable regions of protein models.

Authors:  C M Deane; T L Blundell
Journal:  Protein Sci       Date:  2001-03       Impact factor: 6.725

10.  Conformational changes in protein loops and helices induced by post-translational phosphorylation.

Authors:  Eli S Groban; Arjun Narayanan; Matthew P Jacobson
Journal:  PLoS Comput Biol       Date:  2006-04-21       Impact factor: 4.475

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  43 in total

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Journal:  Proteins       Date:  2011-12-13

2.  Protein loop modeling by using fragment assembly and analytical loop closure.

Authors:  Julian Lee; Dongseon Lee; Hahnbeom Park; Evangelos A Coutsias; Chaok Seok
Journal:  Proteins       Date:  2010-09-24

Review 3.  Constraint methods that accelerate free-energy simulations of biomolecules.

Authors:  Alberto Perez; Justin L MacCallum; Evangelos A Coutsias; Ken A Dill
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4.  Assessment of protein structure refinement in CASP9.

Authors:  Justin L MacCallum; Alberto Pérez; Michael J Schnieders; Lan Hua; Matthew P Jacobson; Ken A Dill
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5.  The importance of slow motions for protein functional loops.

Authors:  Aris Skliros; Michael T Zimmermann; Debkanta Chakraborty; Saras Saraswathi; Ataur R Katebi; Sumudu P Leelananda; Andrzej Kloczkowski; Robert L Jernigan
Journal:  Phys Biol       Date:  2012-02-07       Impact factor: 2.583

6.  Sub-angstrom accuracy in protein loop reconstruction by robotics-inspired conformational sampling.

Authors:  Daniel J Mandell; Evangelos A Coutsias; Tanja Kortemme
Journal:  Nat Methods       Date:  2009-08       Impact factor: 28.547

7.  Comparative protein structure modeling using Modeller.

Authors:  Ben Webb; Andrej Sali; Narayanan Eswar; Marc A Marti-Renom; M S Madhusudhan; David Eramian; Min-Yi Shen; Ursula Pieper
Journal:  Curr Protoc Bioinformatics       Date:  2006-10

8.  Scientific benchmarks for guiding macromolecular energy function improvement.

Authors:  Andrew Leaver-Fay; Matthew J O'Meara; Mike Tyka; Ron Jacak; Yifan Song; Elizabeth H Kellogg; James Thompson; Ian W Davis; Roland A Pache; Sergey Lyskov; Jeffrey J Gray; Tanja Kortemme; Jane S Richardson; James J Havranek; Jack Snoeyink; David Baker; Brian Kuhlman
Journal:  Methods Enzymol       Date:  2013       Impact factor: 1.600

9.  SuperLooper--a prediction server for the modeling of loops in globular and membrane proteins.

Authors:  Peter W Hildebrand; Andrean Goede; Raphael A Bauer; Bjoern Gruening; Jochen Ismer; Elke Michalsky; Robert Preissner
Journal:  Nucleic Acids Res       Date:  2009-05-08       Impact factor: 16.971

10.  A self-organizing algorithm for modeling protein loops.

Authors:  Pu Liu; Fangqiang Zhu; Dmitrii N Rassokhin; Dimitris K Agrafiotis
Journal:  PLoS Comput Biol       Date:  2009-08-21       Impact factor: 4.475

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