Literature DB >> 12646370

Addition of side chains to a known backbone with defined side-chain centroids.

Rajmund Kaźmierkiewicz1, Adam Liwo, Harold A Scheraga.   

Abstract

An automatic procedure is proposed for adding side chains to a protein backbone; it is based on optimization of a simplified energy function for peptide side chains, given its backbone and positions of side-chain centroids. The energy is expressed as a sum of the energies of interaction between side chains, and a harmonic penalty function accounting for the preservation of the positions of the C(alpha) atoms and the side-chain centroids. The energy of side-chain interactions is calculated with the soft-sphere ECEPP/3 potential. A Monte Carlo search is carried out to explore all possible side-chain orientations within a fixed backbone and side-chain centroid positions. The initial, usually extended, side-chain conformations are taken directly from the ECEPP/3 database. The procedure was tested on six experimental (X-ray or NMR) structures: immunoglobulin binding protein (PDB code 1IGD, an alpha+beta-protein); transcription factor PML (PDB code 1BOR, a 49-104 fragment of the ring finger domain, predominantly beta-protein); bovine pancreatic trypsin inhibitor (crystal form II) (PDB code 1BPI, an alpha+beta-protein); the monomer of human deoxyhemoglobin (PDB code 1BZ0, an alpha-helical structure); chain A of alcohol dehydrogenase from Drosophila lebanonensis (PDB code 1A4U); as well as on the 10-55 portion of the B domain of staphylococcal protein A (PDB code 1BDD). In all cases except 1BPI, the data for the algorithm (i.e. the backbone or C(alpha) coordinates and the positions of side-chain centroids) were taken from the experimental structures. For protein A, the C(alpha) coordinates and positions of side-chain centroids were also taken from the 1.9-A-resolution model predicted by the UNRES force field. In all comparisons with experimental structures, complete side-chain geometry was reconstructed with a root-mean-square (RMS) deviation of approximately 0.6-0.9 A from the heavy atoms when complete backbone and side-chain-centroid coordinates were used in reconstruction, or approximately 1.0 A when the C(alpha) and centroid coordinates were used.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12646370     DOI: 10.1016/s0301-4622(02)00285-5

Source DB:  PubMed          Journal:  Biophys Chem        ISSN: 0301-4622            Impact factor:   2.352


  13 in total

1.  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

2.  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

3.  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

4.  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

5.  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 6.  My 65 years in protein chemistry.

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

7.  WeFold: a coopetition for protein structure prediction.

Authors:  George A Khoury; Adam Liwo; Firas Khatib; Hongyi Zhou; Gaurav Chopra; Jaume Bacardit; Leandro O Bortot; Rodrigo A Faccioli; Xin Deng; Yi He; Pawel Krupa; Jilong Li; Magdalena A Mozolewska; Adam K Sieradzan; James Smadbeck; Tomasz Wirecki; Seth Cooper; Jeff Flatten; Kefan Xu; David Baker; Jianlin Cheng; Alexandre C B Delbem; Christodoulos A Floudas; Chen Keasar; Michael Levitt; Zoran Popović; Harold A Scheraga; Jeffrey Skolnick; Silvia N Crivelli
Journal:  Proteins       Date:  2014-07-08

8.  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

9.  From helix-coil transitions to protein folding.

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

10.  Fast procedure for reconstruction of full-atom protein models from reduced representations.

Authors:  Piotr Rotkiewicz; Jeffrey Skolnick
Journal:  J Comput Chem       Date:  2008-07-15       Impact factor: 3.376

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.