Rapid analysis of protein backbone resonance assignments using cryogenic probes, a distributed Linux-based computing architecture, and an integrated set of spectral analysis tools

Daniel Monleón, Kimberly Colson, Hunter N.B. Moseley, Clemens Anklin, Robert Oswald, Thomas Szyperski, Gaetano T. Montelione

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

Rapid data collection, spectral referencing, processing by time domain deconvolution, peak picking and editing, and assignment of NMR spectra are necessary components of any efficient integrated system for protein NMR structure analysis. We have developed a set of software tools designated AutoProc, AutoPeak, and AutoAssign, which function together with the data processing and peak-picking programs NMRPipe and Sparky, to provide an integrated software system for rapid analysis of protein backbone resonance assignments. In this paper we demonstrate that these tools, together with high-sensitivity triple resonance NMR cryoprobes for data collection and a Linux-based computer cluster architecture, can be combined to provide nearly complete backbone resonance assignments and secondary structures (based on chemical shift data) for a 59-residue protein in less than 30 hours of data collection and processing time. In this optimum case of a small protein providing excellent spectra, extensive backbone resonance assignments could also be obtained using less than 6 hours of data collection and processing time. These results demonstrate the feasibility of high throughput triple resonance NMR for determining resonance assignments and secondary structures of small proteins, and the potential for applying NMR in large scale structural proteomics projects.

Original languageEnglish
Pages (from-to)93-101
Number of pages9
JournalJournal of Structural and Functional Genomics
Volume2
Issue number2
DOIs
StatePublished - 2002

Bibliographical note

Funding Information:
The AutoProc, AutoPeak, and AutoAssign software packages described in this paper are available to noncommercial users at (www-nmr.cabm.rutgers.edu). This work was supported by grants from the National Institute of Health (P50 GM62413 and R01 GM56233), The New Jersey Commission on Science and Technology (99-2042-007-13), the Spanish Science and Education Ministry (postdoctoral Fellowship EX-29179910 to DM) and the National Science Foundation (postdoctoral Fellowship DBI-9974200 to HNBM).

Keywords

  • AutoAssign software
  • Automatic spectral analysis
  • High-throughput NMR
  • Parallel processing
  • Peak picking and filtering
  • Structural proteomics

ASJC Scopus subject areas

  • Structural Biology
  • Biochemistry
  • Genetics

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