Literature DB >> 10051588

Energy-based de novo protein folding by conformational space annealing and an off-lattice united-residue force field: application to the 10-55 fragment of staphylococcal protein A and to apo calbindin D9K.

J Lee1, A Liwo, H A Scheraga.   

Abstract

The conformational space annealing (CSA) method for global optimization has been applied to the 10-55 fragment of the B-domain of staphylococcal protein A (protein A) and to a 75-residue protein, apo calbindin D9K (PDB ID code), by using the UNRES off-lattice united-residue force field. Although the potential was not calibrated with these two proteins, the native-like structures were found among the low-energy conformations, without the use of threading or secondary-structure predictions. This is because the CSA method can find many distinct families of low-energy conformations. Starting from random conformations, the CSA method found that there are two families of low-energy conformations for each of the two proteins, the native-like fold and its mirror image. The CSA method converged to the same low-energy folds in all cases studied, as opposed to other optimization methods. It appears that the CSA method with the UNRES force field, which is based on the thermodynamic hypothesis, can be used in prediction of protein structures in real time.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10051588      PMCID: PMC26730          DOI: 10.1073/pnas.96.5.2025

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


  34 in total

1.  Computer simulation of protein folding.

Authors:  M Levitt; A Warshel
Journal:  Nature       Date:  1975-02-27       Impact factor: 49.962

2.  Simulations of the folding of a globular protein.

Authors:  J Skolnick; A Kolinski
Journal:  Science       Date:  1990-11-23       Impact factor: 47.728

3.  Improved genetic algorithm for the protein folding problem by use of a Cartesian combination operator.

Authors:  A A Rabow; H A Scheraga
Journal:  Protein Sci       Date:  1996-09       Impact factor: 6.725

Review 4.  Progress in protein structure prediction.

Authors:  D T Jones
Journal:  Curr Opin Struct Biol       Date:  1997-06       Impact factor: 6.809

5.  MONSSTER: a method for folding globular proteins with a small number of distance restraints.

Authors:  J Skolnick; A Kolinski; A R Ortiz
Journal:  J Mol Biol       Date:  1997-01-17       Impact factor: 5.469

6.  Computation of structures of homologous proteins. Alpha-lactalbumin from lysozyme.

Authors:  P K Warme; F A Momany; S V Rumball; R W Tuttle; H A Scheraga
Journal:  Biochemistry       Date:  1974-02-12       Impact factor: 3.162

7.  How does a protein fold?

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

8.  Monte Carlo simulations of protein folding. I. Lattice model and interaction scheme.

Authors:  A Kolinski; J Skolnick
Journal:  Proteins       Date:  1994-04

9.  Prediction of protein conformation on the basis of a search for compact structures: test on avian pancreatic polypeptide.

Authors:  A Liwo; M R Pincus; R J Wawak; S Rackovsky; H A Scheraga
Journal:  Protein Sci       Date:  1993-10       Impact factor: 6.725

10.  Using known substructures in protein model building and crystallography.

Authors:  T A Jones; S Thirup
Journal:  EMBO J       Date:  1986-04       Impact factor: 11.598

View more
  43 in total

1.  Recent improvements in prediction of protein structure by global optimization of a potential energy function.

Authors:  J Pillardy; C Czaplewski; A Liwo; J Lee; D R Ripoll; R Kaźmierkiewicz; S Oldziej; W J Wedemeyer; K D Gibson; Y A Arnautova; J Saunders; Y J Ye; H A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2001-02-20       Impact factor: 11.205

2.  Protein topology and stability define the space of allowed sequences.

Authors:  Patrice Koehl; Michael Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-22       Impact factor: 11.205

3.  Distance-scaled, finite ideal-gas reference state improves structure-derived potentials of mean force for structure selection and stability prediction.

Authors:  Hongyi Zhou; Yaoqi Zhou
Journal:  Protein Sci       Date:  2002-11       Impact factor: 6.725

4.  Sequence variations within protein families are linearly related to structural variations.

Authors:  Patrice Koehl; Michael Levitt
Journal:  J Mol Biol       Date:  2002-10-25       Impact factor: 5.469

5.  Validation of helical tilt angles in the solution NMR structure of the Z domain of Staphylococcal protein A by combined analysis of residual dipolar coupling and NOE data.

Authors:  Deyou Zheng; James M Aramini; Gaetano T Montelione
Journal:  Protein Sci       Date:  2004-01-10       Impact factor: 6.725

6.  Atomically detailed folding simulation of the B domain of staphylococcal protein A from random structures.

Authors:  Jorge A Vila; Daniel R Ripoll; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-24       Impact factor: 11.205

7.  The dependence of all-atom statistical potentials on structural training database.

Authors:  Chi Zhang; Song Liu; Hongyi Zhou; Yaoqi Zhou
Journal:  Biophys J       Date:  2004-06       Impact factor: 4.033

8.  Orientational potentials extracted from protein structures improve native fold recognition.

Authors:  Nicolae-Viorel Buchete; John E Straub; Devarajan Thirumalai
Journal:  Protein Sci       Date:  2004-04       Impact factor: 6.725

9.  Recovering physical potentials from a model protein databank.

Authors:  J W Mullinax; W G Noid
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-01       Impact factor: 11.205

10.  Kinks, loops, and protein folding, with protein A as an example.

Authors:  Andrey Krokhotin; Adam Liwo; Gia G Maisuradze; Antti J Niemi; Harold A Scheraga
Journal:  J Chem Phys       Date:  2014-01-14       Impact factor: 3.488

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.