16 results on '"Jouko Virtanen"'
Search Results
2. Using iterative fragment assembly and progressive sequence truncation to facilitate phasing and crystal structure determination of distantly related proteins
- Author
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Zhidong Xue, Jouko Virtanen, John J.G. Tesmer, Yang Zhang, and Yan Wang
- Subjects
0301 basic medicine ,030102 biochemistry & molecular biology ,Protein Conformation ,Protein Data Bank (RCSB PDB) ,Proteins ,Computational biology ,Phase problem ,Protein structure prediction ,Biology ,Crystallography, X-Ray ,Research Papers ,Phaser ,Homology (biology) ,03 medical and health sciences ,Crystallography ,030104 developmental biology ,Template ,Structural Biology ,Animals ,Humans ,Molecular replacement ,Threading (protein sequence) ,Databases, Protein ,Algorithms ,Software - Abstract
Molecular replacement (MR) often requires templates with high homology to solve the phase problem in X-ray crystallography.I-TASSER-MRhas been developed to test whether the success rate for structure determination of distant-homology proteins could be improved by a combination of iterative fragmental structure-assembly simulations with progressive sequence truncation designed to trim regions with high variation. The pipeline was tested on two independent protein sets consisting of 61 proteins from CASP8 and 100 high-resolution proteins from the PDB. After excluding homologous templates,I-TASSERgenerated full-length models with an average TM-score of 0.773, which is 12% higher than the best threading templates. Using these as search models,I-TASSER-MRfound correct MR solutions for 95 of 161 targets as judged by having a TFZ of >8 or with the final structure closer to the native than the initial search models. The success rate was 16% higher than when using the best threading templates.I-TASSER-MRwas also applied to 14 protein targets from structure genomics centers. Seven of these were successfully solved byI-TASSER-MR. These results confirm that advanced structure assembly and progressive structural editing can significantly improve the success rate of MR for targets with distant homology to proteins of known structure.
- Published
- 2016
3. MR-REX: molecular replacement by cooperative conformational search and occupancy optimization on low-accuracy protein models
- Author
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Yang Zhang and Jouko Virtanen
- Subjects
0301 basic medicine ,Models, Molecular ,010304 chemical physics ,Computer science ,Protein Conformation ,Monte Carlo method ,Proteins ,Phase problem ,Translation (geometry) ,Crystallography, X-Ray ,01 natural sciences ,Phaser ,Research Papers ,03 medical and health sciences ,030104 developmental biology ,Structural Biology ,0103 physical sciences ,Molecular replacement ,Pruning (decision trees) ,Protein crystallization ,Databases, Protein ,Algorithm ,Rotation (mathematics) ,Monte Carlo Method ,Software - Abstract
Molecular replacement (MR) has commonly been employed to derive the phase information in protein crystal X-ray diffraction, but its success rate decreases rapidly when the search model is dissimilar to the target. MR-REX has been developed to perform an MR search by replica-exchange Monte Carlo simulations, which enables cooperative rotation and translation searches and simultaneous clash and occupancy optimization. MR-REX was tested on a set of 1303 protein structures of different accuracies and successfully placed 699 structures at positions that have an r.m.s.d. of below 2 Å to the target position, which is 10% higher than was obtained by Phaser. However, cases studies show that many of the models for which Phaser failed and MR-REX succeeded can be solved by Phaser by pruning them and using nondefault parameters. The factors effecting success and the parts of the methodology which lead to success are studied. The results demonstrate a new avenue for molecular replacement which outperforms (and has results that are complementary to) the state-of-the-art MR methods, in particular for distantly homologous proteins.
- Published
- 2018
4. Integration of QUARK and I-TASSER for Ab Initio Protein Structure Prediction in CASP11
- Author
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Hongjiu Zhang, Yang Zhang, Brandon Govindarajoo, Wenxuan Zhang, Jianyi Yang, Baoji He, Jouko Virtanen, Hong-Bin Shen, Sara E. Walker, and Zhidong Xue
- Subjects
0301 basic medicine ,Quark ,Physics ,Model selection ,0206 medical engineering ,Ab initio ,02 engineering and technology ,Protein structure prediction ,Biochemistry ,03 medical and health sciences ,Crystallography ,030104 developmental biology ,Template ,Structural Biology ,Protein folding ,Threading (protein sequence) ,Molecular Biology ,Protein secondary structure ,Algorithm ,020602 bioinformatics - Abstract
We tested two pipelines developed for template-free protein structure prediction in the CASP11 experiment. First, the QUARK pipeline constructs structure models by reassembling fragments of continuously distributed lengths excised from unrelated proteins. Five free-modeling (FM) targets have the model successfully constructed by QUARK with a TM-score above 0.4, including the first model of T0837-D1, which has a TM-score = 0.736 and RMSD = 2.9 A to the native. Detailed analysis showed that the success is partly attributed to the high-resolution contact map prediction derived from fragment-based distance-profiles, which are mainly located between regular secondary structure elements and loops/turns and help guide the orientation of secondary structure assembly. In the Zhang-Server pipeline, weakly scoring threading templates are re-ordered by the structural similarity to the ab initio folding models, which are then reassembled by I-TASSER based structure assembly simulations; 60% more domains with length up to 204 residues, compared to the QUARK pipeline, were successfully modeled by the I-TASSER pipeline with a TM-score above 0.4. The robustness of the I-TASSER pipeline can stem from the composite fragment-assembly simulations that combine structures from both ab initio folding and threading template refinements. Despite the promising cases, challenges still exist in long-range beta-strand folding, domain parsing, and the uncertainty of secondary structure prediction; the latter of which was found to affect nearly all aspects of FM structure predictions, from fragment identification, target classification, structure assembly, to final model selection. Significant efforts are needed to solve these problems before real progress on FM could be made. Proteins 2016; 84(Suppl 1):76-86. © 2015 Wiley Periodicals, Inc.
- Published
- 2015
5. Template-based protein structure prediction in CASP11 and retrospect of I-TASSER in the last decade
- Author
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Jouko Virtanen, Wenxuan Zhang, Jianyi Yang, Yang Zhang, Zhidong Xue, Sara E. Walker, Baoji He, Hong-Bin Shen, Hongjiu Zhang, and Brandon Govindarajoo
- Subjects
0301 basic medicine ,Computer science ,Model selection ,Ab initio ,Protein structure prediction ,computer.software_genre ,Biochemistry ,03 medical and health sciences ,Molecular dynamics ,030104 developmental biology ,Template ,Structural Biology ,Data mining ,Threading (protein sequence) ,CASP ,Molecular Biology ,computer ,Protein secondary structure ,Algorithm - Abstract
We report the structure prediction results of a new composite pipeline for template-based modeling (TBM) in the 11th CASP experiment. Starting from multiple structure templates identified by LOMETS based meta-threading programs, the QUARK ab initio folding program is extended to generate initial full-length models under strong constraints from template alignments. The final atomic models are then constructed by I-TASSER based fragment reassembly simulations, followed by the fragment-guided molecular dynamic simulation and the MQAP-based model selection. It was found that the inclusion of QUARK-TBM simulations as an intermediate modeling step could help improve the quality of the I-TASSER models for both Easy and Hard TBM targets. Overall, the average TM-score of the first I-TASSER model is 12% higher than that of the best LOMETS templates, with the RMSD in the same threading-aligned regions reduced from 5.8 to 4.7 A. Nevertheless, there are nearly 18% of TBM domains with the templates deteriorated by the structure assembly pipeline, which may be attributed to the errors of secondary structure and domain orientation predictions that propagate through and degrade the procedures of template identification and final model selections. To examine the record of progress, we made a retrospective report of the I-TASSER pipeline in the last five CASP experiments (CASP7-11). The data show no clear progress of the LOMETS threading programs over PSI-BLAST; but obvious progress on structural improvement relative to threading templates was witnessed in recent CASP experiments, which is probably attributed to the integration of the extended ab initio folding simulation with the threading assembly pipeline and the introduction of atomic-level structure refinements following the reduced modeling simulations. Proteins 2016; 84(Suppl 1):233-246. © 2015 Wiley Periodicals, Inc.
- Published
- 2015
6. I-TASSER-MR: automated molecular replacement for distant-homology proteins using iterative fragment assembly and progressive sequence truncation
- Author
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Jouko Virtanen, Yan Wang, Yang Zhang, and Zhidong Xue
- Subjects
0301 basic medicine ,Models, Molecular ,Internet ,Sequence analysis ,Protein Conformation ,Monte Carlo method ,Phase problem ,Biology ,Bioinformatics ,Crystallography, X-Ray ,Phaser ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Template ,Protein methods ,Sequence Analysis, Protein ,030220 oncology & carcinogenesis ,Web Server Issue ,Genetics ,Molecular replacement ,Threading (protein sequence) ,Algorithm ,Software - Abstract
Molecular replacement (MR) is one of the most common techniques used for solving the phase problem in X-ray crystal diffraction. The success rate of MR however drops quickly when the sequence identity between query and templates is reduced, while the I-TASSER-MR server is designed to solve the phase problem for proteins that lack close homologous templates. Starting from a sequence, it first generates full-length models using I-TASSER by iterative structural fragment reassembly. A progressive sequence truncation procedure is then used for editing the models based on local variations of the structural assembly simulations. Next, the edited models are submitted to MR-REX to search for optimal placements in the crystal unit-cells through replica-exchange Monte Carlo simulations, with the phasing results used by CNS for final atomic model refinement and selection. The I-TASSER-MR algorithm was tested in large-scale benchmark datasets and solved 36% more targets compared to using the best threading templates. The server takes primary sequence and raw crystal diffraction data as input, with output containing annotated phase information and refined structure models. It also allows users to choose between different methods for setting B-factors and the number of models used for phasing. The online server is freely available at http://zhanglab.ccmb.med.umich.edu/I-TASSER-MR.
- Published
- 2017
7. Integration of QUARK and I-TASSER for Ab Initio Protein Structure Prediction in CASP11
- Author
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Wenxuan, Zhang, Jianyi, Yang, Baoji, He, Sara Elizabeth, Walker, Hongjiu, Zhang, Brandon, Govindarajoo, Jouko, Virtanen, Zhidong, Xue, Hong-Bin, Shen, and Yang, Zhang
- Subjects
Models, Molecular ,Protein Folding ,Models, Statistical ,Bacteria ,International Cooperation ,Computational Biology ,Protein Structure, Secondary ,Article ,Bacterial Proteins ,Humans ,Computer Simulation ,Protein Interaction Domains and Motifs ,Amino Acid Sequence ,Databases, Protein ,Sequence Alignment ,Algorithms ,Software - Abstract
We tested two pipelines developed for template-free protein structure prediction in the CASP11 experiment. First, the QUARK pipeline constructs structure models by reassembling fragments of continuously distributed lengths excised from unrelated proteins. Five free-modeling (FM) targets have the model successfully constructed by QUARK with a TM-score above 0.4, including the first model of T0837-D1, which has a TM-score = 0.736 and RMSD = 2.9 Å to the native. Detailed analysis showed that the success is partly attributed to the high-resolution contact map prediction derived from fragment-based distance-profiles, which are mainly located between regular secondary structure elements and loops/turns and help guide the orientation of secondary structure assembly. In the Zhang-Server pipeline, weakly scoring threading templates are re-ordered by the structural similarity to the ab initio folding models, which are then reassembled by I-TASSER based structure assembly simulations; 60% more domains with length up to 204 residues, compared to the QUARK pipeline, were successfully modeled by the I-TASSER pipeline with a TM-score above 0.4. The robustness of the I-TASSER pipeline can stem from the composite fragment-assembly simulations that combine structures from both ab initio folding and threading template refinements. Despite the promising cases, challenges still exist in long-range beta-strand folding, domain parsing, and the uncertainty of secondary structure prediction; the latter of which was found to affect nearly all aspects of FM structure predictions, from fragment identification, target classification, structure assembly, to final model selection. Significant efforts are needed to solve these problems before real progress on FM could be made. Proteins 2016; 84(Suppl 1):76-86. © 2015 Wiley Periodicals, Inc.
- Published
- 2015
8. Template-based protein structure prediction in CASP11 and retrospect of I-TASSER in the last decade
- Author
-
Jianyi, Yang, Wenxuan, Zhang, Baoji, He, Sara Elizabeth, Walker, Hongjiu, Zhang, Brandon, Govindarajoo, Jouko, Virtanen, Zhidong, Xue, Hong-Bin, Shen, and Yang, Zhang
- Subjects
Models, Molecular ,Internet ,Protein Folding ,Models, Statistical ,Computational Biology ,Proteins ,Protein Structure, Secondary ,Article ,Structural Homology, Protein ,Humans ,Thermodynamics ,Computer Simulation ,Protein Interaction Domains and Motifs ,Amino Acid Sequence ,Databases, Protein ,Sequence Alignment ,Algorithms ,Software - Abstract
We report the structure prediction results of a new composite pipeline for template-based modeling (TBM) in the 11th CASP experiment. Starting from multiple structure templates identified by LOMETS based meta-threading programs, the QUARK ab initio folding program is extended to generate initial full-length models under strong constraints from template alignments. The final atomic models are then constructed by I-TASSER based fragment reassembly simulations, followed by the fragment-guided molecular dynamic simulation and the MQAP-based model selection. It was found that the inclusion of QUARK-TBM simulations as an intermediate modeling step could help improve the quality of the I-TASSER models for both Easy and Hard TBM targets. Overall, the average TM-score of the first I-TASSER model is 12% higher than that of the best LOMETS templates, with the RMSD in the same threading-aligned regions reduced from 5.8 to 4.7 Å. Nevertheless, there are nearly 18% of TBM domains with the templates deteriorated by the structure assembly pipeline, which may be attributed to the errors of secondary structure and domain orientation predictions that propagate through and degrade the procedures of template identification and final model selections. To examine the record of progress, we made a retrospective report of the I-TASSER pipeline in the last five CASP experiments (CASP7-11). The data show no clear progress of the LOMETS threading programs over PSI-BLAST; but obvious progress on structural improvement relative to threading templates was witnessed in recent CASP experiments, which is probably attributed to the integration of the extended ab initio folding simulation with the threading assembly pipeline and the introduction of atomic-level structure refinements following the reduced modeling simulations. Proteins 2016; 84(Suppl 1):233-246. © 2015 Wiley Periodicals, Inc.
- Published
- 2015
9. Ionic strength independence of charge distributions in solvation of biomolecules
- Author
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Jouko Virtanen, Tobin R. Sosnick, and Karl F. Freed
- Subjects
Static Electricity ,General Physics and Astronomy ,Molecular Dynamics Simulation ,Sodium Chloride ,Ion ,Molecular dynamics ,Physics::Plasma Physics ,Special Topic: Biological Water ,Static electricity ,Molecule ,Physical and Theoretical Chemistry ,Databases, Protein ,Letters to the Editor ,chemistry.chemical_classification ,Physics::Biological Physics ,Quantitative Biology::Biomolecules ,Chemistry ,Biomolecule ,Osmolar Concentration ,Solvation ,Charge density ,Proteins ,Water ,Ionic strength ,Chemical physics ,RNA ,Thermodynamics ,Atomic physics - Abstract
Electrostatic forces enormously impact the structure, interactions, and function of biomolecules. We perform all-atom molecular dynamics simulations for 5 proteins and 5 RNAs to determine the dependence on ionic strength of the ion and water charge distributions surrounding the biomolecules, as well as the contributions of ions to the electrostatic free energy of interaction between the biomolecule and the surrounding salt solution (for a total of 40 different biomolecule/solvent combinations). Although water provides the dominant contribution to the charge density distribution and to the electrostatic potential even in 1M NaCl solutions, the contributions of water molecules and of ions to the total electrostatic interaction free energy with the solvated biomolecule are comparable. The electrostatic biomolecule/solvent interaction energies and the total charge distribution exhibit a remarkable insensitivity to salt concentrations over a huge range of salt concentrations (20 mM to 1M NaCl). The electrostatic potentials near the biomolecule's surface obtained from the MD simulations differ markedly, as expected, from the potentials predicted by continuum dielectric models, even though the total electrostatic interaction free energies are within 11% of each other.
- Published
- 2014
10. Erratum: 'Ionic strength independence of charge distributions in solvation of biomolecules' [J. Chem. Phys. 141, 22D503 (2014)]
- Author
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Karl F. Freed, Tobin R. Sosnick, and Jouko Virtanen
- Subjects
chemistry.chemical_classification ,010304 chemical physics ,Biomolecule ,Solvation ,General Physics and Astronomy ,Thermodynamics ,Charge (physics) ,010402 general chemistry ,01 natural sciences ,0104 chemical sciences ,chemistry ,Ionic strength ,0103 physical sciences ,medicine ,Physical chemistry ,Physical and Theoretical Chemistry ,medicine.symptom ,Independence (probability theory) ,Confusion - Abstract
In our manuscript1 Fig. 5(b) is a duplicate of Fig. 5(a). We regret any confusion this may have caused, and the corrected figure is provided (Fig. (Fig.11).
- Published
- 2016
11. Printing of polymer microcapsules for enzyme immobilization on paper substrate
- Author
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Dominic Rochefort, Ulla Holopainen, Tomi Erho, Maria Smolander, Yufen Zhang, Anne Savolainen, and Jouko Virtanen
- Subjects
Laccase: chemistry ,Polymers and Plastics ,Lignin ,chemistry [Trametes] ,chemistry.chemical_compound ,Coating ,Polyethyleneimine: chemistry ,Materials Chemistry ,Polyethyleneimine ,Lignin: metabolism ,chemistry [Polyethyleneimine] ,Trametes ,Fungal Proteins: chemistry ,Fungal protein ,biology ,metabolism [Polyethyleneimine] ,Sebacoyl chloride ,Immobilized: metabolism ,enzymology [Trametes] ,chemistry [Immobilized] ,Enzymes ,Laccase: metabolism ,Capsules: metabolism ,Screen printing ,Printing ,Ink ,Bioactive paper ,metabolism [Laccase] ,Capsules: chemistry ,Biotechnology ,Paper ,Immobilized: chemistry ,Materials science ,Immobilized enzyme ,metabolism [Immobilized] ,metabolism [Lignin] ,Drug Compounding ,methods [Drug Compounding] ,Trametes: chemistry ,Bioengineering ,Capsules ,Substrate (printing) ,Trametes hirsuta ,engineering.material ,Biomaterials ,Fungal Proteins ,chemistry [Fungal Proteins] ,methods [Printing] ,Polymer chemistry ,methods [Biotechnology] ,Polyethyleneimine: metabolism ,Fungal Proteins: metabolism ,Biotechnology: methods ,Printing: methods ,Laccase ,chemistry [Capsules] ,metabolism [Fungal Proteins] ,Enzymes, Immobilized ,biology.organism_classification ,Immobilized ,chemistry ,Chemical engineering ,engineering ,chemistry [Laccase] ,Trametes: enzymology ,Drug Compounding: methods ,metabolism [Capsules] - Abstract
Poly(ethyleneimine) (PEI) microcapsules containing laccase from Trametes hirsuta (ThL) and Trametes versicolor (TvL) were printed onto paper substrate by three different methods: screen printing, rod coating, and flexo printing. Microcapsules were fabricated via interfacial polycondensation of PEI with the cross-linker sebacoyl chloride, incorporated into an ink, and printed or coated on the paper substrate. The same ink components were used for three printing methods, and it was found that laccase microcapsules were compatible with the ink. Enzymatic activity of microencapsulated TvL was maintained constant in polymer-based ink for at least eight weeks. Thick layers with high enzymatic activity were obtained when laccase-containing microcapsules were screen printed on paper substrate. Flexo printed bioactive paper showed very low activity, since by using this printing method the paper surface was not fully covered by enzyme microcapsules. Finally, screen printing provided a bioactive paper with high water-resistance and the highest enzyme lifetime.
- Published
- 2011
12. Modeling the hydration layer around proteins: applications to small- and wide-angle x-ray scattering
- Author
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Jouko Virtanen, Karl F. Freed, Lee Makowski, and Tobin R. Sosnick
- Subjects
0303 health sciences ,Scattering ,Chemistry ,Surface Properties ,Solvation ,Biophysics ,Spectroscopy, Imaging, and Other Techniques ,A protein ,Solvation model ,Proteins ,Water ,Molecular Dynamics Simulation ,010402 general chemistry ,01 natural sciences ,0104 chemical sciences ,Computational physics ,03 medical and health sciences ,Molecular dynamics ,X-Ray Diffraction ,Scattering, Small Angle ,Solvents ,Physical chemistry ,Animals ,Wide-angle X-ray scattering ,030304 developmental biology - Abstract
Small-/wide-angle x-ray scattering (SWAXS) experiments can aid in determining the structures of proteins and protein complexes, but success requires accurate computational treatment of solvation. We compare two methods by which to calculate SWAXS patterns. The first approach uses all-atom explicit-solvent molecular dynamics (MD) simulations. The second, far less computationally expensive method involves prediction of the hydration density around a protein using our new HyPred solvation model, which is applied without the need for additional MD simulations. The SWAXS patterns obtained from the HyPred model compare well to both experimental data and the patterns predicted by the MD simulations. Both approaches exhibit advantages over existing methods for analyzing SWAXS data. The close correspondence between calculated and observed SWAXS patterns provides strong experimental support for the description of hydration implicit in the HyPred model.
- Published
- 2011
13. The fragmentation and the physical properties of ink binders and their effects on deinking
- Author
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Jari Martovaara, Jouko Peltonen, Lauri Kuutti, and Jouko Virtanen
- Published
- 1998
14. Printing of Polymer Microcapsules for Enzyme Immobilization on Paper Substrate.
- Author
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Anne Savolainen, Yufen Zhang, Dominic Rochefort, Ulla Holopainen, Tomi Erho, Jouko Virtanen, and Maria Smolander
- Published
- 2011
- Full Text
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15. Modeling the Hydration Layer around Proteins: HyPred
- Author
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Tobin R. Sosnick, Jouko Virtanen, Lee Makowski, and Karl F. Freed
- Subjects
Globular protein ,Biophysics ,Crystal structure ,Molecular Dynamics Simulation ,010402 general chemistry ,Crystallography, X-Ray ,01 natural sciences ,Stability (probability) ,03 medical and health sciences ,Molecular dynamics ,Computational chemistry ,Atom ,Animals ,030304 developmental biology ,chemistry.chemical_classification ,0303 health sciences ,Protein ,Resolution (electron density) ,Proteins ,Water ,0104 chemical sciences ,Solvent ,Distribution function ,chemistry ,Chemical physics ,Solvents - Abstract
Protein hydration plays an integral role in determining protein function and stability. We develop a simple method with atomic level precision for predicting the solvent density near the surface of a protein. A set of proximal radial distribution functions are defined and calculated for a series of different atom types in proteins using all-atom, explicit solvent molecular dynamic simulations for three globular proteins. A major improvement in predicting the hydration layer is found when the protein is held immobile during the simulations. The distribution functions are used to develop a model for predicting the hydration layer with sub-1-Ångstrom resolution without the need for additional simulations. The model and the distribution functions for a given protein are tested in their ability to reproduce the hydration layer from the simulations for that protein, as well as those for other proteins and for simulations in which the protein atoms are mobile. Predictions for the density of water in the hydration shells are then compared with high occupancy sites observed in crystal structures. The accuracy of both tests demonstrates that the solvation model provides a basis for quantitatively understanding protein solvation and thereby predicting the hydration layer without additional simulations.
- Full Text
- View/download PDF
16. The fragmentation and the physical properties of ink binders and their effects on deinkability
- Author
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Jari Martovaara, Lauri Kuutti, Jouko Peltonen, and Jouko Virtanen
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