Literature DB >> 12943363

Project management system for structural and functional proteomics: Sesame.

Zsolt Zolnai1, Peter T Lee, Jing Li, Michael R Chapman, Craig S Newman, George N Phillips, Ivan Rayment, Eldon L Ulrich, Brian F Volkman, John L Markley.   

Abstract

A computing infrastructure (Sesame) has been designed to manage and link individual steps in complex projects. Sesame is being developed to support a large-scale structural proteomics pilot project. When complete, the system is expected to manage all steps from target selection to data-bank deposition and report writing. We report here on the design criteria of the Sesame system and on results demonstrating successful achievement of the basic goals of its architecture. The Sesame software package, which follows the client/server paradigm, consists of a framework, which supports secure interactions among the three tiers of the system (the client, server, and database tiers), and application modules that carry out specific tasks. The framework utilizes industry standards. The client tier is written in Java2 and can be accessed anywhere through the Internet. All the development on the server tier is also carried out in Java2 so as to accommodate a wide variety of computer platforms. The database tier employs a commercial database management system. Each Sesame application module consists of a simple user interface in the client tier, corresponding objects in the server tier, and relevant data stored in the centralized database. For security, access to stored data is controlled by access privileges. The system facilitates both local and remote collaborations. Because users interact with the system using Java Web Start or through a web browser, access is limited only by the availability of an Internet connection. We describe several Sesame modules that have been developed to the point where they are being utilized routinely to support steps involved in structural and functional proteomics. This software is available to parties interested in using it and assisting to guide its further development.

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Year:  2003        PMID: 12943363     DOI: 10.1023/a:1024684404761

Source DB:  PubMed          Journal:  J Struct Funct Genomics        ISSN: 1345-711X


  4 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

Review 2.  Protein production: feeding the crystallographers and NMR spectroscopists.

Authors:  A M Edwards; C H Arrowsmith; D Christendat; A Dharamsi; J D Friesen; J F Greenblatt; M Vedadi
Journal:  Nat Struct Biol       Date:  2000-11

3.  SPINE: an integrated tracking database and data mining approach for identifying feasible targets in high-throughput structural proteomics.

Authors:  P Bertone; Y Kluger; N Lan; D Zheng; D Christendat; A Yee; A M Edwards; C H Arrowsmith; G T Montelione; M Gerstein
Journal:  Nucleic Acids Res       Date:  2001-07-01       Impact factor: 16.971

4.  The CCPN project: an interim report on a data model for the NMR community.

Authors:  Rasmus Fogh; John Ionides; Eldon Ulrich; Wayne Boucher; Wim Vranken; Jens P Linge; Michael Habeck; Wolfgang Rieping; T N Bhat; John Westbrook; Kim Henrick; Gary Gilliland; Helen Berman; Janet Thornton; Michael Nilges; John Markley; Ernest Laue
Journal:  Nat Struct Biol       Date:  2002-06
  4 in total
  59 in total

1.  Iterative Development of an Application to Support Nuclear Magnetic Resonance Data Analysis of Proteins.

Authors:  Heidi J C Ellis; Ronald J Nowling; Jay Vyas; Timothy O Martyn; Michael R Gryk
Journal:  Proc Int Conf Inf Technol New Gener       Date:  2011-04-11

2.  The Protein Structure Initiative Structural Biology Knowledgebase Technology Portal: a structural biology web resource.

Authors:  Lida K Gifford; Lester G Carter; Margaret J Gabanyi; Helen M Berman; Paul D Adams
Journal:  J Struct Funct Genomics       Date:  2012-04-06

3.  Structural characterization of human Uch37.

Authors:  Sethe E Burgie; Craig A Bingman; Ameet B Soni; George N Phillips
Journal:  Proteins       Date:  2011-09-26

4.  PyMS: a Python toolkit for processing of gas chromatography-mass spectrometry (GC-MS) data. Application and comparative study of selected tools.

Authors:  Sean O'Callaghan; David P De Souza; Andrew Isaac; Qiao Wang; Luke Hodkinson; Moshe Olshansky; Tim Erwin; Bill Appelbe; Dedreia L Tull; Ute Roessner; Antony Bacic; Malcolm J McConville; Vladimir A Likić
Journal:  BMC Bioinformatics       Date:  2012-05-30       Impact factor: 3.169

5.  Solution structure of a late embryogenesis abundant protein (LEA14) from Arabidopsis thaliana, a cellular stress-related protein.

Authors:  Shanteri Singh; Claudia C Cornilescu; Robert C Tyler; Gabriel Cornilescu; Marco Tonelli; Min S Lee; John L Markley
Journal:  Protein Sci       Date:  2005-09-09       Impact factor: 6.725

6.  Structure at 1.6 A resolution of the protein from gene locus At3g22680 from Arabidopsis thaliana.

Authors:  Simon T M Allard; Craig A Bingman; Kenneth A Johnson; Gary E Wesenberg; Eduard Bitto; Won Bae Jeon; George N Phillips
Journal:  Acta Crystallogr Sect F Struct Biol Cryst Commun       Date:  2005-06-30

7.  A graphical approach to tracking and reporting target status in structural genomics.

Authors:  Xiaokang Pan; Gary E Wesenberg; John L Markley; Brian G Fox; George N Phillips; Craig A Bingman
Journal:  J Struct Funct Genomics       Date:  2008-01-31

Review 8.  Database resources in metabolomics: an overview.

Authors:  Eden P Go
Journal:  J Neuroimmune Pharmacol       Date:  2009-05-07       Impact factor: 4.147

Review 9.  Using metabolomics to estimate unintended effects in transgenic crop plants: problems, promises, and opportunities.

Authors:  Owen A Hoekenga
Journal:  J Biomol Tech       Date:  2008-07

10.  Results from high-throughput DNA cloning of Arabidopsis thaliana target genes using site-specific recombination.

Authors:  Sandy Thao; Qin Zhao; Todd Kimball; Eric Steffen; Paul G Blommel; Megan Riters; Craig S Newman; Brian G Fox; Russell L Wrobel
Journal:  J Struct Funct Genomics       Date:  2005-03-02
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