Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Automatic maximum entropy spectral reconstruction in NMR.

Mehdi Mobli1, Mark W Maciejewski, Michael R Gryk

  • 1Department of Molecular, Microbial, and Structural Biology, University of Connecticut Health Center, 263 Farmington Ave., Farmington, CT 06030-3305, USA.

Journal of Biomolecular NMR
|August 19, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The NMR Exchange Format (NEF): Specification and Applications.

bioRxiv : the preprint server for biology·2026
Same author

The nanobody Nb.C1 potentiates human acid-sensing ion channel 1a and 1b.

European journal of pharmacology·2026
Same author

The DMV pore-forming TM2-Y region of SARS-CoV-2 nsp3 exhibits structural conservation beyond the coronavirus family.

Journal of virology·2026
Same author

NMRhub: An NMR Data Ecosystem Spanning the Complete Data Lifecycle.

Journal of molecular biology·2026
Same author

Ancient origin and dynamic evolution of bivalent spider toxins.

Molecular biology and evolution·2026
Same author

The Isolated Thumb Domain of Acid-Sensing Ion Channels Forms a Minimal Folding Unit Enabling Ligand Binding Studies.

Angewandte Chemie (International ed. in English)·2026
Same journal

pyTRACTnmr: an open source python package for analyzing [<sup>15</sup>N, <sup>1</sup>H]-TRACT experiments.

Journal of biomolecular NMR·2026
Same journal

RelCalc: symbolic evaluation of BWR theory relaxation rates in python, applications to TROSY effects in AX[Formula: see text] spin systems.

Journal of biomolecular NMR·2026
Same journal

Solution NMR study of the titin I-band IgI domain I82 shows unusual conformational dynamics.

Journal of biomolecular NMR·2026
Same journal

Methyl-specific NMR of therapeutic antibodies: cost-effective isotopic labeling strategies in CHO cells for high-resolution structural characterization.

Journal of biomolecular NMR·2026
Same journal

AMIGO - Guided assignment of <sup>13</sup>C-methyl labelled proteins.

Journal of biomolecular NMR·2026
Same journal

Super-Resolution solid-state NMR Spectroscopy.

Journal of biomolecular NMR·2026
See all related articles

This study introduces an automated maximum entropy reconstruction system for nuclear magnetic resonance (NMR) spectroscopy. This innovation significantly reduces data collection times for large biomolecular systems, overcoming limitations of conventional NMR methods.

Area of Science:

  • Biophysical Chemistry
  • Structural Biology
  • Spectroscopy

Background:

  • High-resolution Nuclear Magnetic Resonance (NMR) spectroscopy can analyze large biomolecular systems (up to 1 megadalton).
  • Conventional NMR methods using Fast Fourier Transform (FFT) require uniform time-interval data collection, leading to excessively long acquisition times for high-resolution data.
  • Non-uniform sampling (NUS) strategies combined with non-Fourier spectral analysis methods offer a solution to reduce NMR data collection times.

Purpose of the Study:

  • To develop a fully automated system for maximum entropy reconstruction (MaxEnt) in NMR spectroscopy.
  • To eliminate the need for user-specified, non-intuitive parameters in MaxEnt analysis.
  • To facilitate the application of advanced NMR techniques to large biomolecular systems.

Main Methods:

Related Experiment Videos

  • Implementation of a fully automated maximum entropy reconstruction algorithm.
  • Development of a web-accessible script generator for user interface.
  • Integration of MaxEnt with various non-uniform sampling strategies.

Main Results:

  • The automated MaxEnt system successfully reconstructs NMR spectra without user intervention.
  • The system is capable of processing data acquired using diverse non-uniform sampling schemes.
  • A user-friendly web interface simplifies the application of advanced NMR data processing.

Conclusions:

  • Automated maximum entropy reconstruction significantly enhances the practicality of high-resolution NMR for large biomolecules.
  • This approach overcomes previous limitations associated with parameter selection in MaxEnt.
  • The developed system democratizes access to advanced NMR data analysis techniques.