Literature DB >> 11948589

Energy-based reconstruction of a protein backbone from its alpha-carbon trace by a Monte-Carlo method.

Rajmund Kaźmierkiewicz1, Adam Liwo, Harold A Scheraga.   

Abstract

An automatic procedure is proposed for reconstruction of a protein backbone from its C(alpha)-trace; it is based on optimization of a simplified energy function of a peptide backbone, given its alpha-carbon trace. The energy is expressed as a sum of the energies of interaction between backbone peptide groups that are not neighbors in the sequence, the energies of local interactions within all amino acid residues, and a harmonic penalty function accounting for the conservation of standard bond angles. The energy of peptide group interactions is calculated using the assumption that each peptide group acts as a point dipole. For local interaction energy, use is made of a two-dimensional Fourier series expansion of the energies of model terminally blocked amino acid residues, calculated with the Empirical Conformational Energy Program for Peptides (ECEPP/3) force field in the angles lambda((1)) and lambda((2)) defining the rotation of peptide groups adjacent to a C(alpha) carbon atom about the corresponding C(alpha) em leader C(alpha) virtual-bond axes. To explore all possible rotations of peptide groups within a fixed C(alpha)-trace, a Monte Carlo search is carried out. The initial lambda angles are calculated by aligning the dipoles of the peptide groups that are close in space, subject to the condition of favorable local interactions. After the Monte Carlo search is accomplished with the simplified energy function, the energy of the structure is minimized with the ECEPP/3 force field, with imposition of distance constraints corresponding to the initial C(alpha)-trace geometry. The procedure was tested on model alpha-helices and beta-sheets, as well as on the crystal structure of the immunoglobulin binding protein (PDB code: 1IGD, an alpha/beta protein). In all cases, complete backbone geometry was reconstructed with a root-mean-square (rms) deviation of 0.5 A from the all-atom target structure. Copyright 2002 Wiley Periodicals, Inc.

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Year:  2002        PMID: 11948589     DOI: 10.1002/jcc.10068

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  15 in total

1.  Discrete restraint-based protein modeling and the Calpha-trace problem.

Authors:  Mark A DePristo; Paul I W De Bakker; Reshma P Shetty; Tom L Blundell
Journal:  Protein Sci       Date:  2003-09       Impact factor: 6.725

2.  Ab initio simulations of protein-folding pathways by molecular dynamics with the united-residue model of polypeptide chains.

Authors:  Adam Liwo; Mey Khalili; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-26       Impact factor: 11.205

3.  Common attributes of native-state structures of proteins, disordered proteins, and amyloid.

Authors:  Trinh X Hoang; Luca Marsella; Antonio Trovato; Flavio Seno; Jayanth R Banavar; Amos Maritan
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-19       Impact factor: 11.205

4.  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

5.  Modification and optimization of the united-residue (UNRES) potential energy function for canonical simulations. I. Temperature dependence of the effective energy function and tests of the optimization method with single training proteins.

Authors:  Adam Liwo; Mey Khalili; Cezary Czaplewski; Sebastian Kalinowski; Staniłsaw Ołdziej; Katarzyna Wachucik; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2007-01-11       Impact factor: 2.991

6.  Lessons from application of the UNRES force field to predictions of structures of CASP10 targets.

Authors:  Yi He; Magdalena A Mozolewska; Pawel Krupa; Adam K Sieradzan; Tomasz K Wirecki; Adam Liwo; Khatuna Kachlishvili; Shalom Rackovsky; Dawid Jagiela; Rafał Ślusarz; Cezary R Czaplewski; Stanisław Ołdziej; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-26       Impact factor: 11.205

7.  Performance of protein-structure predictions with the physics-based UNRES force field in CASP11.

Authors:  Paweł Krupa; Magdalena A Mozolewska; Marta Wiśniewska; Yanping Yin; Yi He; Adam K Sieradzan; Robert Ganzynkowicz; Agnieszka G Lipska; Agnieszka Karczyńska; Magdalena Ślusarz; Rafał Ślusarz; Artur Giełdoń; Cezary Czaplewski; Dawid Jagieła; Bartłomiej Zaborowski; Harold A Scheraga; Adam Liwo
Journal:  Bioinformatics       Date:  2016-07-04       Impact factor: 6.937

Review 8.  My 65 years in protein chemistry.

Authors:  Harold A Scheraga
Journal:  Q Rev Biophys       Date:  2015-04-08       Impact factor: 5.318

9.  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

10.  From helix-coil transitions to protein folding.

Authors:  Harold A Scheraga
Journal:  Biopolymers       Date:  2008-05       Impact factor: 2.505

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