Literature DB >> 18817429

The collaboratory for MS3D: a new cyberinfrastructure for the structural elucidation of biological macromolecules and their assemblies using mass spectrometry-based approaches.

Eizadora T Yu1, Arie Hawkins, Irwin D Kuntz, Larry A Rahn, Andrew Rothfuss, Kenneth Sale, Malin M Young, Christine L Yang, Carmen M Pancerella, Daniele Fabris.   

Abstract

Modern biomedical research is evolving with the rapid growth of diverse data types, biophysical characterization methods, computational tools and extensive collaboration among researchers spanning various communities and having complementary backgrounds and expertise. Collaborating researchers are increasingly dependent on shared data and tools made available by other investigators with common interests, thus forming communities that transcend the traditional boundaries of the single research laboratory or institution. Barriers, however, remain to the formation of these virtual communities, usually due to the steep learning curve associated with becoming familiar with new tools, or with the difficulties associated with transferring data between tools. Recognizing the need for shared reference data and analysis tools, we are developing an integrated knowledge environment that supports productive interactions among researchers. Here we report on our current collaborative environment, which focuses on bringing together structural biologists working in the area of mass spectrometric based methods for the analysis of tertiary and quaternary macromolecular structures (MS3D) called the Collaboratory for MS3D (C-MS3D). C-MS3D is a Web-portal designed to provide collaborators with a shared work environment that integrates data storage and management with data analysis tools. Files are stored and archived along with pertinent meta data in such a way as to allow file handling to be tracked (data provenance) and data files to be searched using keywords and modification dates. While at this time the portal is designed around a specific application, the shared work environment is a general approach to building collaborative work groups. The goal of this is to not only provide a common data sharing and archiving system, but also to assist in the building of new collaborations and to spur the development of new tools and technologies.

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Year:  2008        PMID: 18817429      PMCID: PMC2677910          DOI: 10.1021/pr800443f

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  14 in total

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2.  Designing an Internet-based collaboratory for biomedical research.

Authors:  Rex E Gantenbein
Journal:  Biomed Sci Instrum       Date:  2002

3.  The proteomics standards initiative.

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Journal:  Proteomics       Date:  2003-07       Impact factor: 3.984

4.  The Southeast Collaboratory for Structural Genomics: a high-throughput gene to structure factory.

Authors:  Michael W W Adams; Harry A Dailey; Lawrence J DeLucas; Ming Luo; James H Prestegard; John P Rose; Bi-Cheng Wang
Journal:  Acc Chem Res       Date:  2003-03       Impact factor: 22.384

5.  Biomedical informatics research network: building a national collaboratory to hasten the derivation of new understanding and treatment of disease.

Authors:  Jeffrey S Grethe; Chaitan Baru; Amarnath Gupta; Mark James; Bertram Ludaescher; Maryann E Martone; Philip M Papadopoulos; Steven T Peltier; Arcot Rajasekar; Simone Santini; Ilya N Zaslavsky; Mark H Ellisman
Journal:  Stud Health Technol Inform       Date:  2005

6.  Nested Arg-specific bifunctional crosslinkers for MS-based structural analysis of proteins and protein assemblies.

Authors:  Qingrong Zhang; Elizabeth Crosland; Daniele Fabris
Journal:  Anal Chim Acta       Date:  2008-06-05       Impact factor: 6.558

7.  High throughput protein fold identification by using experimental constraints derived from intramolecular cross-links and mass spectrometry.

Authors:  M M Young; N Tang; J C Hempel; C M Oshiro; E W Taylor; I D Kuntz; B W Gibson; G Dollinger
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-23       Impact factor: 11.205

8.  Top-down characterization of nucleic acids modified by structural probes using high-resolution tandem mass spectrometry and automated data interpretation.

Authors:  Katherine A Kellersberger; Eizadora Yu; Gary H Kruppa; Malin M Young; Daniele Fabris
Journal:  Anal Chem       Date:  2004-05-01       Impact factor: 6.986

9.  MS2Assign, automated assignment and nomenclature of tandem mass spectra of chemically crosslinked peptides.

Authors:  Birgit Schilling; Richard H Row; Bradford W Gibson; Xin Guo; Malin M Young
Journal:  J Am Soc Mass Spectrom       Date:  2003-08       Impact factor: 3.109

10.  A common open representation of mass spectrometry data and its application to proteomics research.

Authors:  Patrick G A Pedrioli; Jimmy K Eng; Robert Hubley; Mathijs Vogelzang; Eric W Deutsch; Brian Raught; Brian Pratt; Erik Nilsson; Ruth H Angeletti; Rolf Apweiler; Kei Cheung; Catherine E Costello; Henning Hermjakob; Sequin Huang; Randall K Julian; Eugene Kapp; Mark E McComb; Stephen G Oliver; Gilbert Omenn; Norman W Paton; Richard Simpson; Richard Smith; Chris F Taylor; Weimin Zhu; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2004-11       Impact factor: 54.908

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  14 in total

1.  Elucidating the higher-order structure of biopolymers by structural probing and mass spectrometry: MS3D.

Authors:  Daniele Fabris; Eizadora T Yu
Journal:  J Mass Spectrom       Date:  2010-08       Impact factor: 1.982

2.  Enhanced in-source fragmentation in MALDI-TOF-MS of oligonucleotides using 1,5-diaminonapthalene.

Authors:  Nathan A Hagan; Christine A Smith; Miquel D Antoine; Jeffrey S Lin; Andrew B Feldman; Plamen A Demirev
Journal:  J Am Soc Mass Spectrom       Date:  2012-02-04       Impact factor: 3.109

3.  Structural basis of G protein-coupled receptor-Gi protein interaction: formation of the cannabinoid CB2 receptor-Gi protein complex.

Authors:  Jagjeet S Mnpotra; Zhuanhong Qiao; Jian Cai; Diane L Lynch; Alan Grossfield; Nicholas Leioatts; Dow P Hurst; Michael C Pitman; Zhao-Hui Song; Patricia H Reggio
Journal:  J Biol Chem       Date:  2014-05-22       Impact factor: 5.157

Review 4.  Protein Structural Analysis via Mass Spectrometry-Based Proteomics.

Authors:  Antonio Artigues; Owen W Nadeau; Mary Ashley Rimmer; Maria T Villar; Xiuxia Du; Aron W Fenton; Gerald M Carlson
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Review 5.  A review of methods used for identifying structural changes in a large protein complex.

Authors:  Owen W Nadeau; Gerald M Carlson
Journal:  Methods Mol Biol       Date:  2012

6.  Xlink-identifier: an automated data analysis platform for confident identifications of chemically cross-linked peptides using tandem mass spectrometry.

Authors:  Xiuxia Du; Saiful M Chowdhury; Nathan P Manes; Si Wu; M Uljana Mayer; Joshua N Adkins; Gordon A Anderson; Richard D Smith
Journal:  J Proteome Res       Date:  2011-02-16       Impact factor: 4.466

7.  Cross-linking mass spectrometry and mutagenesis confirm the functional importance of surface interactions between CYP3A4 and holo/apo cytochrome b(5).

Authors:  Chunsheng Zhao; Qiuxia Gao; Arthur G Roberts; Scott A Shaffer; Catalin E Doneanu; Song Xue; David R Goodlett; Sidney D Nelson; William M Atkins
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8.  Sites of intra- and intermolecular cross-linking of the N-terminal extension of troponin I in human cardiac whole troponin complex.

Authors:  Chad M Warren; Tomoyoshi Kobayashi; R John Solaro
Journal:  J Biol Chem       Date:  2009-03-24       Impact factor: 5.157

9.  OMA and OPA--software-supported mass spectra analysis of native and modified nucleic acids.

Authors:  Adrien Nyakas; Lorenz C Blum; Silvan R Stucki; Jean-Louis Reymond; Stefan Schürch
Journal:  J Am Soc Mass Spectrom       Date:  2012-12-21       Impact factor: 3.109

10.  The RNA Modification Database, RNAMDB: 2011 update.

Authors:  William A Cantara; Pamela F Crain; Jef Rozenski; James A McCloskey; Kimberly A Harris; Xiaonong Zhang; Franck A P Vendeix; Daniele Fabris; Paul F Agris
Journal:  Nucleic Acids Res       Date:  2010-11-10       Impact factor: 16.971

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