Literature DB >> 8208727

Monte Carlo simulations of protein folding. II. Application to protein A, ROP, and crambin.

A Kolinski1, J Skolnick.   

Abstract

The hierarchy of lattice Monte Carlo models described in the accompanying paper (Kolinski, A., Skolnick, J. Monte Carlo simulations of protein folding. I. Lattice model and interaction scheme. Proteins 18:338-352, 1994) is applied to the simulation of protein folding and the prediction of 3-dimensional structure. Using sequence information alone, three proteins have been successfully folded: the B domain of staphylococcal protein A, a 120 residue, monomeric version of ROP dimer, and crambin. Starting from a random expanded conformation, the model proteins fold along relatively well-defined folding pathways. These involve a collection of early intermediates, which are followed by the final (and rate-determining) transition from compact intermediates closely resembling the molten globule state to the native-like state. The predicted structures are rather unique, with native-like packing of the side chains. The accuracy of the predicted native conformations is better than those obtained in previous folding simulations. The best (but by no means atypical) folds of protein A have a coordinate rms of 2.25 A from the native C alpha trace, and the best coordinate rms from crambin is 3.18 A. For ROP monomer, the lowest coordinate rms from equivalent C alpha s of ROP dimer is 3.65 A. Thus, for two simple helical proteins and a small alpha/beta protein, the ability to predict protein structure from sequence has been demonstrated.

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Year:  1994        PMID: 8208727     DOI: 10.1002/prot.340180406

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


  19 in total

1.  Viewing protein folding from many perspectives.

Authors:  Charles L Brooks
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-05       Impact factor: 11.205

2.  Folding a protein in a computer: an atomic description of the folding/unfolding of protein A.

Authors:  Angel E García; José N Onuchic
Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-17       Impact factor: 11.205

3.  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

4.  Latest folding game results: protein A barely frustrates computationalists.

Authors:  Peter G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-27       Impact factor: 11.205

5.  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.

Authors:  J Lee; A Liwo; H A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-02       Impact factor: 11.205

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.  Spontaneous fibril formation by polyalanines; discontinuous molecular dynamics simulations.

Authors:  Hung D Nguyen; Carol K Hall
Journal:  J Am Chem Soc       Date:  2006-02-15       Impact factor: 15.419

8.  Folding processes of the B domain of protein A to the native state observed in all-atom ab initio folding simulations.

Authors:  Hongxing Lei; Chun Wu; Zhi-Xiang Wang; Yaoqi Zhou; Yong Duan
Journal:  J Chem Phys       Date:  2008-06-21       Impact factor: 3.488

9.  Computer simulations of de novo designed helical proteins.

Authors:  A Sikorski; A Kolinski; J Skolnick
Journal:  Biophys J       Date:  1998-07       Impact factor: 4.033

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

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