Literature DB >> 25965196

Prediction of Protein Structure by Template-Based Modeling Combined with the UNRES Force Field.

Paweł Krupa1, Magdalena A Mozolewska1, Keehyoung Joo, Jooyoung Lee, Cezary Czaplewski1, Adam Liwo1.   

Abstract

A new approach to the prediction of protein structures that uses distance and backbone virtual-bond dihedral angle restraints derived from template-based models and simulations with the united residue (UNRES) force field is proposed. The approach combines the accuracy and reliability of template-based methods for the segments of the target sequence with high similarity to those having known structures with the ability of UNRES to pack the domains correctly. Multiplexed replica-exchange molecular dynamics with restraints derived from template-based models of a given target, in which each restraint is weighted according to the accuracy of the prediction of the corresponding section of the molecule, is used to search the conformational space, and the weighted histogram analysis method and cluster analysis are applied to determine the families of the most probable conformations, from which candidate predictions are selected. To test the capability of the method to recover template-based models from restraints, five single-domain proteins with structures that have been well-predicted by template-based methods were used; it was found that the resulting structures were of the same quality as the best of the original models. To assess whether the new approach can improve template-based predictions with incorrectly predicted domain packing, four such targets were selected from the CASP10 targets; for three of them the new approach resulted in significantly better predictions compared with the original template-based models. The new approach can be used to predict the structures of proteins for which good templates can be found for sections of the sequence or an overall good template can be found for the entire sequence but the prediction quality is remarkably weaker in putative domain-linker regions.

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Year:  2015        PMID: 25965196     DOI: 10.1021/acs.jcim.5b00117

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  6 in total

1.  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

2.  Computational Models for the Study of Protein Aggregation.

Authors:  Nguyen Truong Co; Mai Suan Li; Pawel Krupa
Journal:  Methods Mol Biol       Date:  2022

3.  Extension of coarse-grained UNRES force field to treat carbon nanotubes.

Authors:  Adam K Sieradzan; Magdalena A Mozolewska
Journal:  J Mol Model       Date:  2018-04-26       Impact factor: 1.810

4.  A structural model of the immune checkpoint CD160-HVEM complex derived from HDX-mass spectrometry and molecular modeling.

Authors:  Katarzyna Kuncewicz; Marta Spodzieja; Adam Sieradzan; Agnieszka Karczyńska; Katarzyna Dąbrowska; Michał Dadlez; Daniel E Speiser; Laurent Derre; Sylwia Rodziewicz-Motowidło
Journal:  Oncotarget       Date:  2019-01-11

5.  Improved Consensus-Fragment Selection in Template-Assisted Prediction of Protein Structures with the UNRES Force Field in CASP13.

Authors:  Agnieszka S Karczyńska; Karolina Ziȩba; Urszula Uciechowska; Magdalena A Mozolewska; Paweł Krupa; Emilia A Lubecka; Agnieszka G Lipska; Celina Sikorska; Sergey A Samsonov; Adam K Sieradzan; Artur Giełdoń; Adam Liwo; Rafał Ślusarz; Magdalena Ślusarz; Jooyoung Lee; Keehyoung Joo; Cezary Czaplewski
Journal:  J Chem Inf Model       Date:  2020-02-11       Impact factor: 4.956

6.  Rule-Based Pruning and In Silico Identification of Essential Proteins in Yeast PPIN.

Authors:  Anik Banik; Souvik Podder; Sovan Saha; Piyali Chatterjee; Anup Kumar Halder; Mita Nasipuri; Subhadip Basu; Dariusz Plewczynski
Journal:  Cells       Date:  2022-08-25       Impact factor: 7.666

  6 in total

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