ArticleJournal of biomolecular NMR1999
RESCUE: an artificial neural network tool for the NMR spectral assignment of proteins.
Article in Journal of biomolecular NMR, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Recent advances in computational methods for nuclear magnetic resonance data processing.Genomics, proteomics & bioinformatics · 2013Review
- Backbone resonance assignment and order tensor estimation using residual dipolar couplings.Journal of biomolecular NMR · 2011Article
- Protein side-chain resonance assignment and NOE assignment using RDC-defined backbones without TOCSY data.Journal of biomolecular NMR · 2011Article
- TALOS+: a hybrid method for predicting protein backbone torsion angles from NMR chemical shifts.Journal of biomolecular NMR · 2009Article
- NOEnet--use of NOE networks for NMR resonance assignment of proteins with known 3D structure.Bioinformatics (Oxford, England) · 2009Article
- Graphical interpretation of Boolean operators for protein NMR assignments.Journal of biomolecular NMR · 2008Article
- Contact replacement for NMR resonance assignment.Bioinformatics (Oxford, England) · 2008Article
- Smartnotebook: a semi-automated approach to protein sequential NMR resonance assignments.Journal of biomolecular NMR · 2003Article
- PROSHIFT: protein chemical shift prediction using artificial neural networks.Journal of biomolecular NMR · 2003Article
- Prediction algorithm for amino acid types with their secondary structure in proteins (PLATON) using chemical shifts.Journal of biomolecular NMR · 2003Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The assignment of the 1H spectrum of a protein or a polypeptide is the prerequisite for advanced NMR studies. We present here an assignment tool based on the artificial neural network technology, which determines the type of the amino acid from the chemical shift values observed in the 1H spectrum. Two artificial neural networks have been trained and extensively tested against a non-redundant subset of the BMRB chemical shift data bank [Seavey, B.R. et al. (1991) J. Biomol. NMR, 1, 217-236]. The most promising of the two accomplishes the analysis in two steps, grouping related amino acids together. It presents a mean rate of success above 80% on the test set. The second network tested separates down to the single amino acid; it presents a mean rate of success of 63%. This tool has been used to assist the manual assignment of peptides and proteins and can also be used as a block in an automated approach to assignment. The program has been called RESCUE and is made publicly available at the following URL: http:(/)/www.infobiosud.univ-montp1.fr/rescue.
Indexed as
Identifiers
10549132What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.