Literature DB >> 9923684

Protein chemical shift analysis: a practical guide.

D S Wishart1, A M Nip.   

Abstract

Proper protein chemical shift analysis requires careful experimental measurements and the implementation of standardized referencing procedures. In this article we outline the steps necessary to ensure proper chemical shift referencing and the selection criteria for choosing appropriate "random coil" amino acid chemical shift values for predicting, comparing, and assigning 1H, 13C, and 15N resonances in proteins. By making use of these standardized conditions we demonstrate how several recently developed methods, namely homologous assignment techniques and empirical chemical shift contour maps (or hypersurfaces), can significantly improve the accuracy of chemical shift prediction for 1H, 13C, and 15N nuclei. In addition to illustrating the potential utility of chemical shift prediction, we also outline procedures for identifying secondary structure elements through heteronuclear chemical shift analysis and further demonstrate how empirical shift contour maps can actually be used to refine, and more importantly generate, reasonably good three-dimensional protein structures.

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Year:  1998        PMID: 9923684     DOI: 10.1139/bcb-76-2-3-153

Source DB:  PubMed          Journal:  Biochem Cell Biol        ISSN: 0829-8211            Impact factor:   3.626


  70 in total

1.  Probability-based protein secondary structure identification using combined NMR chemical-shift data.

Authors:  Yunjun Wang; Oleg Jardetzky
Journal:  Protein Sci       Date:  2002-04       Impact factor: 6.725

2.  RefDB: a database of uniformly referenced protein chemical shifts.

Authors:  Haiyan Zhang; Stephen Neal; David S Wishart
Journal:  J Biomol NMR       Date:  2003-03       Impact factor: 2.835

3.  Unblocked statistical-coil tetrapeptides and pentapeptides in aqueous solution: a theoretical study.

Authors:  Jorge A Vila; Daniel R Ripoll; Héctor A Baldoni; Harold A Scheraga
Journal:  J Biomol NMR       Date:  2002-11       Impact factor: 2.835

4.  Prediction algorithm for amino acid types with their secondary structure in proteins (PLATON) using chemical shifts.

Authors:  D Labudde; D Leitner; M Krüger; H Oschkinat
Journal:  J Biomol NMR       Date:  2003-01       Impact factor: 2.835

5.  An empirical correlation between secondary structure content and averaged chemical shifts in proteins.

Authors:  Anaika B Sibley; Monique Cosman; V V Krishnan
Journal:  Biophys J       Date:  2003-02       Impact factor: 4.033

6.  Solution structures of the C-terminal headpiece subdomains of human villin and advillin, evaluation of headpiece F-actin-binding requirements.

Authors:  Wim Vermeulen; Peter Vanhaesebrouck; Marleen Van Troys; Mieke Verschueren; Franky Fant; Marc Goethals; Christophe Ampe; José C Martins; Frans A M Borremans
Journal:  Protein Sci       Date:  2004-05       Impact factor: 6.725

7.  Conformational distributions of denatured and unstructured proteins are similar to those of 20 × 20 blocked dipeptides.

Authors:  Kwang-Im Oh; Young-Sang Jung; Geum-Sook Hwang; Minhaeng Cho
Journal:  J Biomol NMR       Date:  2012-03-18       Impact factor: 2.835

8.  The Salmonella type III secretion system inner rod protein PrgJ is partially folded.

Authors:  Dalian Zhong; Matthew Lefebre; Kawaljit Kaur; Melanie A McDowell; Courtney Gdowski; Sunhwan Jo; Yu Wang; Stephen H Benedict; Susan M Lea; Jorge E Galan; Roberto N De Guzman
Journal:  J Biol Chem       Date:  2012-05-31       Impact factor: 5.157

Review 9.  Fuzzy complexes of myelin basic protein: NMR spectroscopic investigations of a polymorphic organizational linker of the central nervous system.

Authors:  David S Libich; Mumdooh A M Ahmed; Ligang Zhong; Vladimir V Bamm; Vladimir Ladizhansky; George Harauz
Journal:  Biochem Cell Biol       Date:  2010-04       Impact factor: 3.626

10.  1H, 13C and 15N resonance assignments of S-824, a de novo four-helix bundle from a designed combinatorial library.

Authors:  Yinan Wei; David Fela; Seho Kim; Michael Hecht; Jean Baum
Journal:  J Biomol NMR       Date:  2003-12       Impact factor: 2.835

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