Literature DB >> 25502373

Protein structural information derived from NMR chemical shift with the neural network program TALOS-N.

Yang Shen1, Ad Bax.   

Abstract

Chemical shifts are obtained at the first stage of any protein structural study by NMR spectrosn class="Chemical">copy. Chemical shifts are known to be impacted by a wide range of structural factors, and the artificial neural network based TALOS-N program has been trained to extract backbone and side-chain torsion angles from (1)H, (15)N, and (13)C shifts. The program is quite robust and typically yields backbone torsion angles for more than 90 % of the residues and side-chain χ 1 rotamer information for about half of these, in addition to reliably predicting secondary structure. The use of TALOS-N is illustrated for the protein DinI, and torsion angles obtained by TALOS-N analysis from the measured chemical shifts of its backbone and (13)C(β) nuclei are compared to those seen in a prior, experimentally determined structure. The program is also particularly useful for generating torsion angle restraints, which then can be used during standard NMR protein structure calculations.

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Year:  2015        PMID: 25502373      PMCID: PMC4319698          DOI: 10.1007/978-1-4939-2239-0_2

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


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