Literature DB >> 11854494

A method for optimizing potential-energy functions by a hierarchical design of the potential-energy landscape: application to the UNRES force field.

Adam Liwo1, Piotr Arłukowicz, Cezary Czaplewski, Stanislaw Ołdziej, Jaroslaw Pillardy, Harold A Scheraga.   

Abstract

A method for optimizing potential-energy functions of proteins is proposed. The method assumes a hierarchical structure of the energy landscape, which means that the energy decreases as the number of native-like elements in a structure increases, being lowest for structures from the native family and highest for structures with no native-like element. A level of the hierarchy is defined as a family of structures with the same number of native-like elements (or degree of native likeness). Optimization of a potential-energy function is aimed at achieving such a hierarchical structure of the energy landscape by forcing appropriate free-energy gaps between hierarchy levels to place their energies in ascending order. This procedure is different from methods developed thus far, in which the energy gap and/or the Z score between the native structure and all non-native structures are maximized, regardless of the degree of native likeness of the non-native structures. The advantage of this approach lies in reducing the number of structures with decreasing energy, which should ensure the searchability of the potential. The method was tested on two proteins, PDB ID codes and, with an off-lattice united-residue force field. For, the search of the conformational space with the use of the conformational space annealing method and the newly optimized potential-energy function found the native structure very quickly, as opposed to the potential-energy functions obtained by former optimization methods. After even incomplete optimization, the force field obtained by using located the native-like structures of two peptides, and betanova (a designed three-stranded beta-sheet peptide), as the lowest-energy conformations, whereas for the 46-residue N-terminal fragment of staphylococcal protein A, the native-like conformation was the second-lowest-energy conformation and had an energy 2 kcal/mol above that of the lowest-energy structure.

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Year:  2002        PMID: 11854494      PMCID: PMC122298          DOI: 10.1073/pnas.032675399

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  17 in total

1.  Analysis and assessment of ab initio three-dimensional prediction, secondary structure, and contacts prediction.

Authors:  C A Orengo; J E Bray; T Hubbard; L LoConte; I Sillitoe
Journal:  Proteins       Date:  1999

Review 2.  Designing potential energy functions for protein folding.

Authors:  M H Hao; H A Scheraga
Journal:  Curr Opin Struct Biol       Date:  1999-04       Impact factor: 6.809

3.  Contact potential that recognizes the correct folding of globular proteins.

Authors:  V N Maiorov; G M Crippen
Journal:  J Mol Biol       Date:  1992-10-05       Impact factor: 5.469

4.  Crystal structure of a Src-homology 3 (SH3) domain.

Authors:  A Musacchio; M Noble; R Pauptit; R Wierenga; M Saraste
Journal:  Nature       Date:  1992-10-29       Impact factor: 49.962

5.  Design of a 20-amino acid, three-stranded beta-sheet protein.

Authors:  T Kortemme; M Ramírez-Alvarado; L Serrano
Journal:  Science       Date:  1998-07-10       Impact factor: 47.728

6.  De novo protein design: fully automated sequence selection.

Authors:  B I Dahiyat; S L Mayo
Journal:  Science       Date:  1997-10-03       Impact factor: 47.728

7.  Is folding of beta-lactoglobulin non-hierarchic? Intermediate with native-like beta-sheet and non-native alpha-helix.

Authors:  V Forge; M Hoshino; K Kuwata; M Arai; K Kuwajima; C A Batt; Y Goto
Journal:  J Mol Biol       Date:  2000-03-03       Impact factor: 5.469

8.  How does a protein fold?

Authors:  A Sali; E Shakhnovich; M Karplus
Journal:  Nature       Date:  1994-05-19       Impact factor: 49.962

Review 9.  De novo and inverse folding predictions of protein structure and dynamics.

Authors:  A Godzik; A Kolinski; J Skolnick
Journal:  J Comput Aided Mol Des       Date:  1993-08       Impact factor: 3.686

10.  The third IgG-binding domain from streptococcal protein G. An analysis by X-ray crystallography of the structure alone and in a complex with Fab.

Authors:  J P Derrick; D B Wigley
Journal:  J Mol Biol       Date:  1994-11-11       Impact factor: 5.469

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  37 in total

1.  Packing helices in proteins by global optimization of a potential energy function.

Authors:  Marian Nanias; Maurizio Chinchio; Jarosław Pillardy; Daniel R Ripoll; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-05       Impact factor: 11.205

2.  Probing the folding free energy landscape of the Src-SH3 protein domain.

Authors:  Joan-Emma Shea; Jose N Onuchic; Charles L Brooks
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-22       Impact factor: 11.205

3.  A structural model of polyglutamine determined from a host-guest method combining experiments and landscape theory.

Authors:  John M Finke; Margaret S Cheung; José N Onuchic
Journal:  Biophys J       Date:  2004-09       Impact factor: 4.033

4.  An evolutionary strategy for all-atom folding of the 60-amino-acid bacterial ribosomal protein l20.

Authors:  A Schug; W Wenzel
Journal:  Biophys J       Date:  2006-03-24       Impact factor: 4.033

5.  Molecular dynamics with the united-residue model of polypeptide chains. II. Langevin and Berendsen-bath dynamics and tests on model alpha-helical systems.

Authors:  Mey Khalili; Adam Liwo; Anna Jagielska; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2005-07-21       Impact factor: 2.991

6.  Molecular dynamics with the united-residue model of polypeptide chains. I. Lagrange equations of motion and tests of numerical stability in the microcanonical mode.

Authors:  Mey Khalili; Adam Liwo; Franciszek Rakowski; Paweł Grochowski; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2005-07-21       Impact factor: 2.991

7.  Principal component analysis for protein folding dynamics.

Authors:  Gia G Maisuradze; Adam Liwo; Harold A Scheraga
Journal:  J Mol Biol       Date:  2008-10-15       Impact factor: 5.469

8.  Determination of side-chain-rotamer and side-chain and backbone virtual-bond-stretching potentials of mean force from AM1 energy surfaces of terminally-blocked amino-acid residues, for coarse-grained simulations of protein structure and folding. II. Results, comparison with statistical potentials, and implementation in the UNRES force field.

Authors:  Urszula Kozłowska; Gia G Maisuradze; Adam Liwo; Harold A Scheraga
Journal:  J Comput Chem       Date:  2010-04-30       Impact factor: 3.376

9.  Implementation of a Serial Replica Exchange Method in a Physics-Based United-Residue (UNRES) Force Field.

Authors:  Hujun Shen; Cezary Czaplewski; Adam Liwo; Harold A Scheraga
Journal:  J Chem Theory Comput       Date:  2008-08-01       Impact factor: 6.006

10.  A united residue force-field for calcium-protein interactions.

Authors:  Mey Khalili; Jeffrey A Saunders; Adam Liwo; Stanislaw Ołdziej; Harold A Scheraga
Journal:  Protein Sci       Date:  2004-10       Impact factor: 6.725

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