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Connection

John Markley to Algorithms

This is a "connection" page, showing publications John Markley has written about Algorithms.

 
Connection Strength
 
 
 
1.331
 
  1. Lee W, Petit CM, Cornilescu G, Stark JL, Markley JL. The AUDANA algorithm for automated protein 3D structure determination from NMR NOE data. J Biomol NMR. 2016 06; 65(2):51-7.
    View in: PubMed
    Score: 0.273
  2. Dashti H, Tonelli M, Markley JL. ADAPT-NMR 3.0: utilization of BEST-type triple-resonance NMR experiments to accelerate the process of data collection and assignment. J Biomol NMR. 2015 Jul; 62(3):247-52.
    View in: PubMed
    Score: 0.255
  3. Bahrami A, Tonelli M, Sahu SC, Singarapu KK, Eghbalnia HR, Markley JL. Robust, integrated computational control of NMR experiments to achieve optimal assignment by ADAPT-NMR. PLoS One. 2012; 7(3):e33173.
    View in: PubMed
    Score: 0.204
  4. Lee W, Bahrami A, Dashti HT, Eghbalnia HR, Tonelli M, Westler WM, Markley JL. I-PINE web server: an integrative probabilistic NMR assignment system for proteins. J Biomol NMR. 2019 May; 73(5):213-222.
    View in: PubMed
    Score: 0.084
  5. Stark JL, Eghbalnia HR, Lee W, Westler WM, Markley JL. NMRmix: A Tool for the Optimization of Compound Mixtures in 1D (1)H NMR Ligand Affinity Screens. J Proteome Res. 2016 Apr 01; 15(4):1360-8.
    View in: PubMed
    Score: 0.068
  6. Olson JB, Markley JL. Evaluation of an algorithm for the automated sequential assignment of protein backbone resonances: a demonstration of the connectivity tracing assignment tools (CONTRAST) software package. J Biomol NMR. 1994 May; 4(3):385-410.
    View in: PubMed
    Score: 0.059
  7. Lee W, Hu K, Tonelli M, Bahrami A, Neuhardt E, Glass KC, Markley JL. Fast automated protein NMR data collection and assignment by ADAPT-NMR on Bruker spectrometers. J Magn Reson. 2013 Nov; 236:83-8.
    View in: PubMed
    Score: 0.057
  8. Lee W, Bahrami A, Markley JL. ADAPT-NMR Enhancer: complete package for reduced dimensionality in protein NMR spectroscopy. Bioinformatics. 2013 Feb 15; 29(4):515-7.
    View in: PubMed
    Score: 0.054
  9. Chylla RA, Hu K, Ellinger JJ, Markley JL. Deconvolution of two-dimensional NMR spectra by fast maximum likelihood reconstruction: application to quantitative metabolomics. Anal Chem. 2011 Jun 15; 83(12):4871-80.
    View in: PubMed
    Score: 0.048
  10. Lee W, Westler WM, Bahrami A, Eghbalnia HR, Markley JL. PINE-SPARKY: graphical interface for evaluating automated probabilistic peak assignments in protein NMR spectroscopy. Bioinformatics. 2009 Aug 15; 25(16):2085-7.
    View in: PubMed
    Score: 0.042
  11. Bahrami A, Assadi AH, Markley JL, Eghbalnia HR. Probabilistic interaction network of evidence algorithm and its application to complete labeling of peak lists from protein NMR spectroscopy. PLoS Comput Biol. 2009 Mar; 5(3):e1000307.
    View in: PubMed
    Score: 0.042
  12. Wang L, Eghbalnia HR, Markley JL. Nearest-neighbor effects on backbone alpha and beta carbon chemical shifts in proteins. J Biomol NMR. 2007 Nov; 39(3):247-57.
    View in: PubMed
    Score: 0.038
  13. Eghbalnia HR, Bahrami A, Wang L, Assadi A, Markley JL. Probabilistic Identification of Spin Systems and their Assignments including Coil-Helix Inference as Output (PISTACHIO). J Biomol NMR. 2005 Jul; 32(3):219-33.
    View in: PubMed
    Score: 0.032
  14. Eghbalnia HR, Wang L, Bahrami A, Assadi A, Markley JL. Protein energetic conformational analysis from NMR chemical shifts (PECAN) and its use in determining secondary structural elements. J Biomol NMR. 2005 May; 32(1):71-81.
    View in: PubMed
    Score: 0.032
  15. Dashti H, Westler WM, Wedell JR, Demler OV, Eghbalnia HR, Markley JL, Mora S. Probabilistic identification of saccharide moieties in biomolecules and their protein complexes. Sci Data. 2020 07 03; 7(1):210.
    View in: PubMed
    Score: 0.023
  16. Chylla RA, Volkman BF, Markley JL. Practical model fitting approaches to the direct extraction of NMR parameters simultaneously from all dimensions of multidimensional NMR spectra. J Biomol NMR. 1998 Aug; 12(2):277-97.
    View in: PubMed
    Score: 0.020
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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