Literature DB >> 22214925

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

Heidi J C Ellis1, Ronald J Nowling, Jay Vyas, Timothy O Martyn, Michael R Gryk.   

Abstract

The CONNecticut Joint University Research (CONNJUR) team is a group of biochemical and software engineering researchers at multiple institutions. The vision of the team is to develop a comprehensive application that integrates a variety of existing analysis tools with workflow and data management to support the process of protein structure determination using Nuclear Magnetic Resonance (NMR). The use of multiple disparate tools and lack of data management, currently the norm in NMR data processing, provides strong motivation for such an integrated environment. This manuscript briefly describes the domain of NMR as used for protein structure determination and explains the formation of the CONNJUR team and its operation in developing the CONNJUR application. The manuscript also describes the evolution of the CONNJUR application through four prototypes and describes the challenges faced while developing the CONNJUR application and how those challenges were met.

Entities:  

Year:  2011        PMID: 22214925      PMCID: PMC3244275          DOI: 10.1109/ITNG.2011.215

Source DB:  PubMed          Journal:  Proc Int Conf Inf Technol New Gener


  7 in total

1.  Smartnotebook: a semi-automated approach to protein sequential NMR resonance assignments.

Authors:  Carolyn M Slupsky; Robert F Boyko; Valerie K Booth; Brian D Sykes
Journal:  J Biomol NMR       Date:  2003-12       Impact factor: 2.835

Review 2.  Automated analysis of protein NMR assignments and structures.

Authors:  Michael C Baran; Yuanpeng J Huang; Hunter N B Moseley; Gaetano T Montelione
Journal:  Chem Rev       Date:  2004-08       Impact factor: 60.622

3.  Delineation and analysis of the conceptual data model implied by the "IUPAC Recommendations for Biochemical Nomenclature".

Authors:  Susan Fox-Erlich; Timothy O Martyn; Heidi J C Ellis; Michael R Gryk
Journal:  Protein Sci       Date:  2004-08-04       Impact factor: 6.725

4.  Project management system for structural and functional proteomics: Sesame.

Authors:  Zsolt Zolnai; 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
Journal:  J Struct Funct Genomics       Date:  2003

5.  NMRPipe: a multidimensional spectral processing system based on UNIX pipes.

Authors:  F Delaglio; S Grzesiek; G W Vuister; G Zhu; J Pfeifer; A Bax
Journal:  J Biomol NMR       Date:  1995-11       Impact factor: 2.835

6.  Conceptual-level workflow modeling of scientific experiments using NMR as a case study.

Authors:  Kacy K Verdi; Heidi Jc Ellis; Michael R Gryk
Journal:  BMC Bioinformatics       Date:  2007-01-30       Impact factor: 3.169

7.  VENN, a tool for titrating sequence conservation onto protein structures.

Authors:  Jay Vyas; Michael R Gryk; Martin R Schiller
Journal:  Nucleic Acids Res       Date:  2009-08-05       Impact factor: 16.971

  7 in total
  3 in total

1.  Parser Combinators: a Practical Application for Generating Parsers for NMR Data.

Authors:  Matthew Fenwick; Gerard Weatherby; Heidi Jc Ellis; Michael R Gryk
Journal:  Proc Int Conf Inf Technol New Gener       Date:  2013

2.  Semantic Mediation to Improve Reproducibility for Biomolecular NMR Analysis.

Authors:  Michael R Gryk; Bertram Ludäscher
Journal:  Transform Digit Worlds (2018)       Date:  2018-03-15

3.  Curating Scientific Workflows for Biomolecular Nuclear Magnetic Resonance Spectroscopy.

Authors:  Douglas Heintz; Michael R Gryk
Journal:  Int J Digit Curation       Date:  2019-04-19
  3 in total

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