• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 32
Next 10 →

GARANT - A General Algorithm for Resonance Assignment of Multidimensional Nuclear Magnetic Resonance Spectra

by Christian Bartels, Peter Güntert, Martin Billeter, Kurt Wüthrich - Journal of Computational Chemistry , 1997
"... A new program for automatic resonance assignment of nuclear magnetic resonance NMR spectra of proteins, GARANT General Algorithm for Resonance AssignmeNT, is introduced. Three principal elements used in this approach are: a. representation of resonance assignments as an optimal match of two graphs d ..."
Abstract - Cited by 35 (1 self) - Add to MetaCart
A new program for automatic resonance assignment of nuclear magnetic resonance NMR spectra of proteins, GARANT General Algorithm for Resonance AssignmeNT, is introduced. Three principal elements used in this approach are: a. representation of resonance assignments as an optimal match of two graphs

NMR Nuclear magnetic resonance

by Anthony Watts , 2008
"... Abstract Solid state NMR spectra from uniformly 13C, 15N enriched bacteriorhodospin (bR) purified from H. sali-narium were acquired at 18.8 T using magic angle spinning methods. Isolated resonances of 2D 13C-13C spectra exhibited 0.50–0.55 ppm line-widths. Several amino acid types could be assigned, ..."
Abstract - Add to MetaCart
Abstract Solid state NMR spectra from uniformly 13C, 15N enriched bacteriorhodospin (bR) purified from H. sali-narium were acquired at 18.8 T using magic angle spinning methods. Isolated resonances of 2D 13C-13C spectra exhibited 0.50–0.55 ppm line-widths. Several amino acid types could be assigned

BIOINFORMATICS Assigning NMR spectra of irregular RNAs by heuristic algorithms

by M. Szachniuk
"... Abstract. Computer-aided analysis and preprocessing of spectral data is a prerequisite for any study of molecular structures by Nuclear Magnetic Resonance (NMR) spectroscopy. The data processing stage usually involves a considerable dedication of time and expert knowledge to cope with peak picking, ..."
Abstract - Add to MetaCart
Abstract. Computer-aided analysis and preprocessing of spectral data is a prerequisite for any study of molecular structures by Nuclear Magnetic Resonance (NMR) spectroscopy. The data processing stage usually involves a considerable dedication of time and expert knowledge to cope with peak picking

APPLICATIONS AND NEW DEVELOPMENTS OF THE DIRECT EXPONENTIAL CURVE RESOLUTION ALGORITHM (DECRA). EXAMPLES OF SPECTRA AND MAGNETIC RESONANCE IMAGES

by Willem Windig, Brian Antalek, Louis J. Sorriero, Sabina Bijlsma, D. J. Louwerse (ad, Age K. Smilde
"... Recently, a new multivariate analysis tool was developed to resolve mixture data sets, where the contributions (‘concentrations’) have an exponential profile. The new approach is called DECRA (direct exponential curve resolution algorithm). DECRA is based on the generalized rank annihilation method ..."
Abstract - Add to MetaCart
(GRAM). Examples will be given of resolving nuclear magnetic resonance spectra resulting from a diffusion experiment, spectra in the ultraviolet/visible region of a reaction and magnetic resonance images of the human brain. Copyright Ó 1999 John Wiley & Sons, Ltd. KEY WORDS: generalized rank

Multi-dimensional Inversion Modeling of Surface Nuclear Magnetic Resonance (SNMR) Data for Groundwater Exploration

by Hendra Gr, Wahyudi W. Parnadi, Djoko Santoso
"... Abstract. Groundwater is an important economic source of water supply for drinking water and irrigation water for agriculture. Surface nuclear magnetic resonance (SNMR) sounding is a relatively new geophysical method that can be used to determine the presence of culturally and economically important ..."
Abstract - Add to MetaCart
Abstract. Groundwater is an important economic source of water supply for drinking water and irrigation water for agriculture. Surface nuclear magnetic resonance (SNMR) sounding is a relatively new geophysical method that can be used to determine the presence of culturally and economically

Magnetic resonance spectroscopy and its applications in psychiatry

by Gin S Malhi , Michael Valenzuela , Wei Wen , Perminder Sachdev , Michael Valenzuela , Wei Wen , Perminder Sachdev - Aust N Z J Psychiatry , 2002
"... Over the past two decades, many sophisticated techniques for imaging the brain have been developed and introduced into clinical practice [1, Magnetic resonance spectroscopy is a non-invasive computerized imaging technique that relies on the same nuclear magnetic resonance (NMR) principles that form ..."
Abstract - Cited by 13 (0 self) - Add to MetaCart
Over the past two decades, many sophisticated techniques for imaging the brain have been developed and introduced into clinical practice [1, Magnetic resonance spectroscopy is a non-invasive computerized imaging technique that relies on the same nuclear magnetic resonance (NMR) principles

A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra

by Ji Won Yoon, Simon P. Wilson, K. Hun Mok
"... Projection Reconstruction Nuclear Magnetic Resonance (PR-NMR) is a new technique to generate multi-dimensional NMR spectra, which have discrete features that are relatively sparsely distributed in space. A small number of projections from lower dimensional NMR spectra are used to reconstruct the mul ..."
Abstract - Add to MetaCart
Projection Reconstruction Nuclear Magnetic Resonance (PR-NMR) is a new technique to generate multi-dimensional NMR spectra, which have discrete features that are relatively sparsely distributed in space. A small number of projections from lower dimensional NMR spectra are used to reconstruct

Evolutionary algorithm for a reconstruction of NOE paths in NMR spectra of RNA chains

by J. Błażewicz, M. Szachniuk, A. Wojtowicz
"... Abstract. Resonance assignment remains one of the hardest stages in RNA tertiary structure determination with the use of Nuclear Magnetic Resonance spectroscopy. We propose an evolutionary algorithm being a tool for an automatization of the procedure. NOE pathway, which determines the assignments, i ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Abstract. Resonance assignment remains one of the hardest stages in RNA tertiary structure determination with the use of Nuclear Magnetic Resonance spectroscopy. We propose an evolutionary algorithm being a tool for an automatization of the procedure. NOE pathway, which determines the assignments

JOURNAL OF MAGNETIC RESONANCE 125, 34–42 (1997) ARTICLE NO. MN971106 Protein Heteronuclear NMR Assignments Using Mean-Field Simulated Annealing

by Nicolas E. G. Buchler, Erik R. P. Zuiderweg, Hong Wang, Richard A. Goldstein , 1996
"... A computational method for the assignment of the NMR spec- number of source NMR spectra. For a variety of reasons, tra of larger (21 kDa) proteins using a set of six of the most even modest increases in protein size greatly complicate the sensitive heteronuclear multidimensional nuclear magnetic res ..."
Abstract - Add to MetaCart
A computational method for the assignment of the NMR spec- number of source NMR spectra. For a variety of reasons, tra of larger (21 kDa) proteins using a set of six of the most even modest increases in protein size greatly complicate the sensitive heteronuclear multidimensional nuclear magnetic

Nuclear Magnetic Resonance-Assisted Prediction of Secondary Structure for RNA: Incorporation of Direction-Dependent Chemical Shift Constraints

by David H. Mathews, Douglas H. Turner
"... ABSTRACT: Knowledge of RNA structure is necessary to determine structure−function relationships and to facilitate design of potential therapeutics. RNA secondary structure prediction can be improved by applying constraints from nuclear magnetic resonance (NMR) experiments to a dynamic programming al ..."
Abstract - Add to MetaCart
ABSTRACT: Knowledge of RNA structure is necessary to determine structure−function relationships and to facilitate design of potential therapeutics. RNA secondary structure prediction can be improved by applying constraints from nuclear magnetic resonance (NMR) experiments to a dynamic programming
Next 10 →
Results 1 - 10 of 32
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University