20 results on '"Ionides, J."'
Search Results
2. E-MSD: the European Bioinformatics Institute Macromolecular Structure Database
- Author
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Boutselakis, H., Dimitropoulos, D., Fillon, J., Golovin, A., Henrick, K., Hussain, A., Ionides, J., John, M., Keller, P. A., Krissinel, E., McNeil, P., Naim, A., Newman, R., Oldfield, T., Pineda, J., Rachedi, A., Copeland, J., Sitnov, A., Sobhany, S., Suarez-Uruena, A., Swaminathan, J., Tagari, M., Tate, J., Tromm, S., Velankar, S., and Vranken, W.
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- 2003
3. The European Bioinformatics Institute Macromolecular Structure Relational Database Technology
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Boutselakis, H., primary, Dimitropoulos, D., additional, Henrick, K., additional, Ionides, J., additional, John, M., additional, Keller, P.A., additional, McNeil, P., additional, Pineda, J., additional, and Suarez-Uruena, A., additional
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4. Issues in the Annotation of Protein Structures
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Swaminathan, G. J., primary, Tate, J., additional, Newman, R., additional, Hussain, A., additional, Ionides, J., additional, Henrick, K., additional, and Velankar, S., additional
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5. Remediation of the protein data bank archive.
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Henrick, K., Feng, Z., Bluhm, W.F., Dimitropoulos, D., Doreleijers, J., Dutta, S., Flippen-Anderson, J.L., Ionides, J., Kamada, C., Krissinel, E., Lawson, C.L., Markley, J.L., Nakamura, H., Newman, R., Shimizu, Y., Swaminathan, J., Velankar, S., Ory, J., Ulrich, E.L., Vranken, W, Westbrook, J., Yamashita, R., Yang, H., Young, J., Yousufuddin, M., Berman, H.M., Henrick, K., Feng, Z., Bluhm, W.F., Dimitropoulos, D., Doreleijers, J., Dutta, S., Flippen-Anderson, J.L., Ionides, J., Kamada, C., Krissinel, E., Lawson, C.L., Markley, J.L., Nakamura, H., Newman, R., Shimizu, Y., Swaminathan, J., Velankar, S., Ory, J., Ulrich, E.L., Vranken, W, Westbrook, J., Yamashita, R., Yang, H., Young, J., Yousufuddin, M., and Berman, H.M.
- Abstract
Contains fulltext : 71213.pdf (publisher's version ) (Open Access), The Worldwide Protein Data Bank (wwPDB; wwpdb.org) is the international collaboration that manages the deposition, processing and distribution of the PDB archive. The online PDB archive at ftp://ftp.wwpdb.org is the repository for the coordinates and related information for more than 47 000 structures, including proteins, nucleic acids and large macromolecular complexes that have been determined using X-ray crystallography, NMR and electron microscopy techniques. The members of the wwPDB-RCSB PDB (USA), MSD-EBI (Europe), PDBj (Japan) and BMRB (USA)-have remediated this archive to address inconsistencies that have been introduced over the years. The scope and methods used in this project are presented.
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- 2008
6. EUROCarbDB: An open-access platform for glycoinformatics
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von der Lieth, C.-W., primary, Freire, A. A., additional, Blank, D., additional, Campbell, M. P., additional, Ceroni, A., additional, Damerell, D. R., additional, Dell, A., additional, Dwek, R. A., additional, Ernst, B., additional, Fogh, R., additional, Frank, M., additional, Geyer, H., additional, Geyer, R., additional, Harrison, M. J., additional, Henrick, K., additional, Herget, S., additional, Hull, W. E., additional, Ionides, J., additional, Joshi, H. J., additional, Kamerling, J. P., additional, Leeflang, B. R., additional, Lutteke, T., additional, Lundborg, M., additional, Maass, K., additional, Merry, A., additional, Ranzinger, R., additional, Rosen, J., additional, Royle, L., additional, Rudd, P. M., additional, Schloissnig, S., additional, Stenutz, R., additional, Vranken, W. F., additional, Widmalm, G., additional, and Haslam, S. M., additional
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- 2010
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7. Remediation of the protein data bank archive
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Henrick, K., primary, Feng, Z., additional, Bluhm, W. F., additional, Dimitropoulos, D., additional, Doreleijers, J. F., additional, Dutta, S., additional, Flippen-Anderson, J. L., additional, Ionides, J., additional, Kamada, C., additional, Krissinel, E., additional, Lawson, C. L., additional, Markley, J. L., additional, Nakamura, H., additional, Newman, R., additional, Shimizu, Y., additional, Swaminathan, J., additional, Velankar, S., additional, Ory, J., additional, Ulrich, E. L., additional, Vranken, W., additional, Westbrook, J., additional, Yamashita, R., additional, Yang, H., additional, Young, J., additional, Yousufuddin, M., additional, and Berman, H. M., additional
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- 2007
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8. mmCIF and dictionary driven software with the MSD database production pipeline
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Henrick, K., primary, Valenkar, S., additional, Boutselakis, H., additional, Hussain, A., additional, Ionides, J., additional, Kapopoulou, A., additional, Keller, P., additional, Newman, R., additional, Pineda, J., additional, Suarez, A., additional, Swaminathan, J., additional, and Tate, J., additional
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- 2005
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9. A framework for scientific data modeling and automated software development
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Fogh, R. H., primary, Boucher, W., additional, Vranken, W. F., additional, Pajon, A., additional, Stevens, T. J., additional, Bhat, T. N., additional, Westbrook, J., additional, Ionides, J. M. C., additional, and Laue, E. D., additional
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- 2004
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10. The European Bioinformatics Institute Macromolecular Structure Database (E-MSD)
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Henrick, K., primary, Dimitropoulos, D., additional, Keller, P., additional, Ionides, J., additional, Krissinel, E., additional, Velankar, S., additional, Boutselakis, H., additional, McNeil, P., additional, Golovin, A., additional, and Pineda, J., additional
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- 2002
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11. MEMOPS: data modelling and automatic code generation
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Fogh, R. H., Boucher, W., Ionides, J. M., Wim Vranken, Stevens, T. J., and Laue, E. D.
12. WeNMR: Structural biology on the grid
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Wassenaar, T. A., Dijk, M., Loureiro-Ferreira, N., Schot, G., Vries, S. J., Schmitz, C., Zwan, J., Boelens, R., Giachetti, A., Ferella, L., Rosato, A., Bertini, I., Herrmann, T., Jonker, H. R. A., Bagaria, A., Jaravine, V., Güntert, P., Schwalbe, H., Vranken, W. F., Doreleijers, J. F., Vriend, G., Vuister, G. W., Franke, D., Kikhney, A., Svergun, D. I., Fogh, R., Ionides, J., Ernest Laue, Spronk, C., Verlato, M., Badoer, S., Dal Pra, S., Mazzucato, M., Frizziero, E., Bonvin, A. M. J. J., Bijvoet Center for Biomolecular Research [Utrecht], Utrecht University [Utrecht], Biocomputing Group, University of Calgary, European Grid Infrastructure (EGI), Magnetic Resonance Center, Università degli Studi di Firenze = University of Florence [Firenze], Department of Chemistry, ISA - Centre de RMN à très hauts champs (2011-2018), Institut des Sciences Analytiques (ISA), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Center for Biomolecular Magnetic Resonance, Goethe-University Frankfurt am Main, Institute of Organic Chemistry and Chemical Biology, Institute of Biophysical Chemistry and Frankfurt Institute for Advanced Studies, Protein Biophysics - Institute of Molecules and Materials, Radboud university [Nijmegen], Department of Structural Biology, Vlaams Instituut voor Biotechnologie, Structural Biology Brussels (SBB), Vrije Universiteit [Brussels] (VUB), European Bioinformatics Institute [Hinxton] (EMBL-EBI), EMBL Heidelberg, Istituto Nazionale di Fisica Nucleare, Terstyanszky Gabor, Kiss Tamas, Protein Biophysics/IMM, CMB, Radboud University Medical Center [Nijmegen], European Molecular Biology Laboratory [Hamburg] (EMBL), Dpt of Biochemistry [Cambridge], University of Cambridge [UK] (CAM), UAB 'Spronk NMR Consultancy', Molecular and Computational Toxicology, AIMMS, Bijvoet Center for Biomolecular Research, Utrecht University, University of Florence, Centre de RMN à très hauts champs, Université Claude Bernard - Lyon I (UCBL) - PRES Université de Lyon - École Normale Supérieure (ENS) - Lyon - CNRS - Université Claude Bernard - Lyon I (UCBL) - PRES Université de Lyon - École Normale Supérieure (ENS) - Lyon - CNRS, Goethe University Frankfurt, Radboud University Nijmegen, Structural Biology Brussels, Vrije Universiteit Brussel, European Bioinformatics Institute, European Grid Infrastructure ( EGI ), Institut des Sciences Analytiques ( ISA ), Centre National de la Recherche Scientifique ( CNRS ) -Université de Lyon-Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-École normale supérieure - Lyon ( ENS Lyon ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Lyon-Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-École normale supérieure - Lyon ( ENS Lyon ), Structural Biology Brussels ( SBB ), Vrije Universiteit [Brussel] ( VUB ), Vrije Universiteit Brussel (VUB), Radboud University Nijmegen Medical Centre, European Molecular Biology Laboratory, European Molecular Biology Laboratory (EMBL), Department of Biochemistry, University of Cambridge (UK), European Molecular Biology Laboratory [Hamburg] ( EMBL ), and University of Cambridge [UK] ( CAM )
- Subjects
World Wide Web ,Software engineering ,Grid computing ,European union ,Grid ,Computer science ,Virtual organization ,Distributed computing ,Information system ,Workflow - Abstract
International audience The WeNMR (http://www.wenmr.eu) project is a European Union funded international effort to streamline and automate analysis of Nuclear Magnetic Resonance (NMR) and Small Angle X-Ray scattering (SAXS) imaging data for atomic and near-atomic resolution molecular structures. Conventional calculation of structure requires the use of various software packages, considerable user expertise and ample computational resources. To facilitate the use of NMR spectroscopy and SAXS in life sciences the WeNMR consortium has established standard computational workflows and services through easy-to-use web interfaces, while still retaining sufficient flexibility to handle more specific requests. Thus far, a number of programs often used in structural biology have been made available through application portals. The implementation of these services, in particular the distribution of calculations to a Grid computing infrastructure, involves a novel mechanism for submission and handling of jobs that is independent of the type of job being run. With over 450 registered users (September 2012), WeNMR is currently the largest Virtual Organization (VO) in life sciences. With its large and worldwide user community, WeNMR has become the first Virtual Research Community officially recognized by the European Grid Infrastructure (EGI).
13. Rearrangements of 2.5 kilobases of noncoding DNA from the Drosophila even-skipped locus define predictive rules of genomic cis-regulatory logic.
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Kim AR, Martinez C, Ionides J, Ramos AF, Ludwig MZ, Ogawa N, Sharp DH, and Reinitz J
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- Animals, Binding Sites, DNA-Binding Proteins genetics, DNA-Binding Proteins metabolism, Evolution, Molecular, Gene Expression Regulation, Developmental, Genome, RNA, Untranslated genetics, Transcription Initiation Site, Drosophila Proteins genetics, Drosophila melanogaster genetics, Drosophila melanogaster metabolism, Enhancer Elements, Genetic, Gene Rearrangement genetics, Homeodomain Proteins genetics, Transcription Factors genetics
- Abstract
Rearrangements of about 2.5 kilobases of regulatory DNA located 5' of the transcription start site of the Drosophila even-skipped locus generate large-scale changes in the expression of even-skipped stripes 2, 3, and 7. The most radical effects are generated by juxtaposing the minimal stripe enhancers MSE2 and MSE3 for stripes 2 and 3 with and without small "spacer" segments less than 360 bp in length. We placed these fusion constructs in a targeted transformation site and obtained quantitative expression data for these transformants together with their controlling transcription factors at cellular resolution. These data demonstrated that the rearrangements can alter expression levels in stripe 2 and the 2-3 interstripe by a factor of more than 10. We reasoned that this behavior would place tight constraints on possible rules of genomic cis-regulatory logic. To find these constraints, we confronted our new expression data together with previously obtained data on other constructs with a computational model. The model contained representations of thermodynamic protein-DNA interactions including steric interference and cooperative binding, short-range repression, direct repression, activation, and coactivation. The model was highly constrained by the training data, which it described within the limits of experimental error. The model, so constrained, was able to correctly predict expression patterns driven by enhancers for other Drosophila genes; even-skipped enhancers not included in the training set; stripe 2, 3, and 7 enhancers from various Drosophilid and Sepsid species; and long segments of even-skipped regulatory DNA that contain multiple enhancers. The model further demonstrated that elevated expression driven by a fusion of MSE2 and MSE3 was a consequence of the recruitment of a portion of MSE3 to become a functional component of MSE2, demonstrating that cis-regulatory "elements" are not elementary objects., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2013
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14. EUROCarbDB: An open-access platform for glycoinformatics.
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von der Lieth CW, Freire AA, Blank D, Campbell MP, Ceroni A, Damerell DR, Dell A, Dwek RA, Ernst B, Fogh R, Frank M, Geyer H, Geyer R, Harrison MJ, Henrick K, Herget S, Hull WE, Ionides J, Joshi HJ, Kamerling JP, Leeflang BR, Lütteke T, Lundborg M, Maass K, Merry A, Ranzinger R, Rosen J, Royle L, Rudd PM, Schloissnig S, Stenutz R, Vranken WF, Widmalm G, and Haslam SM
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- Animals, Carbohydrate Conformation, Computational Biology, Glycomics, Humans, Models, Molecular, Molecular Weight, Online Systems, Carbohydrates chemistry, Databases as Topic, Software
- Abstract
The EUROCarbDB project is a design study for a technical framework, which provides sophisticated, freely accessible, open-source informatics tools and databases to support glycobiology and glycomic research. EUROCarbDB is a relational database containing glycan structures, their biological context and, when available, primary and interpreted analytical data from high-performance liquid chromatography, mass spectrometry and nuclear magnetic resonance experiments. Database content can be accessed via a web-based user interface. The database is complemented by a suite of glycoinformatics tools, specifically designed to assist the elucidation and submission of glycan structure and experimental data when used in conjunction with contemporary carbohydrate research workflows. All software tools and source code are licensed under the terms of the Lesser General Public License, and publicly contributed structures and data are freely accessible. The public test version of the web interface to the EUROCarbDB can be found at http://www.ebi.ac.uk/eurocarb.
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- 2011
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15. Remediation of the protein data bank archive.
- Author
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Henrick K, Feng Z, Bluhm WF, Dimitropoulos D, Doreleijers JF, Dutta S, Flippen-Anderson JL, Ionides J, Kamada C, Krissinel E, Lawson CL, Markley JL, Nakamura H, Newman R, Shimizu Y, Swaminathan J, Velankar S, Ory J, Ulrich EL, Vranken W, Westbrook J, Yamashita R, Yang H, Young J, Yousufuddin M, and Berman HM
- Subjects
- Archives, Crystallography, X-Ray, Dictionaries, Chemical as Topic, Internet, Microscopy, Electron, Nuclear Magnetic Resonance, Biomolecular, Nucleic Acids chemistry, Proteins chemistry, Reproducibility of Results, Terminology as Topic, Databases, Protein standards, Macromolecular Substances chemistry
- Abstract
The Worldwide Protein Data Bank (wwPDB; wwpdb.org) is the international collaboration that manages the deposition, processing and distribution of the PDB archive. The online PDB archive at ftp://ftp.wwpdb.org is the repository for the coordinates and related information for more than 47 000 structures, including proteins, nucleic acids and large macromolecular complexes that have been determined using X-ray crystallography, NMR and electron microscopy techniques. The members of the wwPDB-RCSB PDB (USA), MSD-EBI (Europe), PDBj (Japan) and BMRB (USA)-have remediated this archive to address inconsistencies that have been introduced over the years. The scope and methods used in this project are presented.
- Published
- 2008
- Full Text
- View/download PDF
16. Using MSDchem to search the PDB ligand dictionary.
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Dimitropoulos D, Ionides J, and Henrick K
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- Binding Sites, Protein Binding, User-Computer Interface, Database Management Systems, Databases, Protein, Dictionaries, Chemical as Topic, Information Storage and Retrieval methods, Ligands, Protein Interaction Mapping methods, Proteins chemistry
- Abstract
The PDB ligand dictionary is the chemical reference database of all the small building block molecules (e.g., amino acids, nucleic acids, and bound ligands) in the Protein Data Bank (PDB) referenced by a distinct three-letter code identifier. Since PDB files have only three-dimensional coordinate data, the role of the dictionary that of a reference resource for the actual chemical properties of small molecules, shared consistently across all PDB entries. The ligand dictionary is maintained in all sites of the Worldwide Protein Data Bank (wwPDB), the Research Collaboratory for Structural Bioinformatics (RCSB) in U.S., the Macromolecular Structure Database (MSD) in Europe, and the Protein Data Bank in Japan (PDBj), and it is exchanged on a regular basis. The MSD group at the European BioInformatics Institute (EBI) extends the dictionary into the MSDchem ligand database, which utilizes chemo-informatics packages and incorporates additional curation work. MSDchem is publicly available on the Web through the MSDchem search system, the functionality of which is described in more detail in this unit.
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- 2006
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17. The CCPN data model for NMR spectroscopy: development of a software pipeline.
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Vranken WF, Boucher W, Stevens TJ, Fogh RH, Pajon A, Llinas M, Ulrich EL, Markley JL, Ionides J, and Laue ED
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- Computer Graphics, Magnetic Resonance Spectroscopy instrumentation, Models, Theoretical, Databases, Protein, Magnetic Resonance Spectroscopy methods, Software
- Abstract
To address data management and data exchange problems in the nuclear magnetic resonance (NMR) community, the Collaborative Computing Project for the NMR community (CCPN) created a "Data Model" that describes all the different types of information needed in an NMR structural study, from molecular structure and NMR parameters to coordinates. This paper describes the development of a set of software applications that use the Data Model and its associated libraries, thus validating the approach. These applications are freely available and provide a pipeline for high-throughput analysis of NMR data. Three programs work directly with the Data Model: CcpNmr Analysis, an entirely new analysis and interactive display program, the CcpNmr FormatConverter, which allows transfer of data from programs commonly used in NMR to and from the Data Model, and the CLOUDS software for automated structure calculation and assignment (Carnegie Mellon University), which was rewritten to interact directly with the Data Model. The ARIA 2.0 software for structure calculation (Institut Pasteur) and the QUEEN program for validation of restraints (University of Nijmegen) were extended to provide conversion of their data to the Data Model. During these developments the Data Model has been thoroughly tested and used, demonstrating that applications can successfully exchange data via the Data Model. The software architecture developed by CCPN is now ready for new developments, such as integration with additional software applications and extensions of the Data Model into other areas of research.
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- 2005
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18. Design of a data model for developing laboratory information management and analysis systems for protein production.
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Pajon A, Ionides J, Diprose J, Fillon J, Fogh R, Ashton AW, Berman H, Boucher W, Cygler M, Deleury E, Esnouf R, Janin J, Kim R, Krimm I, Lawson CL, Oeuillet E, Poupon A, Raymond S, Stevens T, van Tilbeurgh H, Westbrook J, Wood P, Ulrich E, Vranken W, Xueli L, Laue E, Stuart DI, and Henrick K
- Subjects
- Algorithms, Amino Acid Sequence, Data Interpretation, Statistical, Databases, Protein, Internet, Models, Biological, Programming Languages, Research, Software, Software Design, Systems Biology, Unified Medical Language System, Genomics methods, Protein Engineering methods, Proteins chemistry, Proteomics methods
- Abstract
Data management has emerged as one of the central issues in the high-throughput processes of taking a protein target sequence through to a protein sample. To simplify this task, and following extensive consultation with the international structural genomics community, we describe here a model of the data related to protein production. The model is suitable for both large and small facilities for use in tracking samples, experiments, and results through the many procedures involved. The model is described in Unified Modeling Language (UML). In addition, we present relational database schemas derived from the UML. These relational schemas are already in use in a number of data management projects., ((c) 2004 Wiley-Liss, Inc.)
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- 2005
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19. The CCPN project: an interim report on a data model for the NMR community.
- Author
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Fogh R, Ionides J, Ulrich E, Boucher W, Vranken W, Linge JP, Habeck M, Rieping W, Bhat TN, Westbrook J, Henrick K, Gilliland G, Berman H, Thornton J, Nilges M, Markley J, and Laue E
- Subjects
- Computational Biology methods, Databases, Genetic, Macromolecular Substances, Software, Computer Simulation, Magnetic Resonance Spectroscopy methods
- Abstract
A recent workshop discusses the progress toward integrating NMR data into a unifying data model.
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- 2002
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20. Autonomous folding of a peptide corresponding to the N-terminal beta-hairpin from ubiquitin.
- Author
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Zerella R, Evans PA, Ionides JM, Packman LC, Trotter BW, Mackay JP, and Williams DH
- Subjects
- Magnetic Resonance Spectroscopy, Protein Conformation, Peptide Fragments chemistry, Protein Folding, Ubiquitins chemistry
- Abstract
The N-terminal 17 residues of ubiquitin have been shown by 1H NMR to fold autonomously into a beta-hairpin structure in aqueous solution. This structure has a specific, native-like register, though side-chain contacts differ in detail from those observed in the intact protein. An autonomously folding hairpin has previously been identified in the case of streptococcal protein G, which is structurally homologous with ubiquitin, but remarkably, the two are not in topologically equivalent positions in the fold. This suggests that the organization of folding may be quite different for proteins sharing similar tertiary structures. Two smaller peptides have also been studied, corresponding to the isolated arms of the N-terminal hairpin of ubiquitin, and significant differences from simple random coil predictions observed in the spectra of these subfragments, suggestive of significant limitation of the backbone conformational space sampled, presumably as a consequence of the strongly beta-structure favoring composition of the sequences. This illustrates the ability of local sequence elements to express a propensity for beta-structure even in the absence of actual sheet formation. Attempts were made to estimate the population of the folded state of the hairpin, in terms of a simple two-state folding model. Using published "random coil" values to model the unfolded state, and values derived from native ubiquitin for the putative unique, folded state, it was found that the apparent population varied widely for different residues and with different NMR parameters. Use of the spectra of the subfragment peptides to provide a more realistic model of the unfolded state led to better agreement in the estimates that could be obtained from chemical shift and coupling constant measurements, while making it clear that some other approaches to population estimation could not give meaningful results, because of the tendency to populate the beta-region of conformational space even in the absence of the hairpin structure.
- Published
- 1999
- Full Text
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