Literature DB >> 11908496

Semiautomatic sequence-specific assignment of proteins based on the tertiary structure--the program st2nmr.

Primoz Pristovsek1, Heinz Rüterjans, Roman Jerala.   

Abstract

The sequence-specific assignment of resonances is still the most time-consuming procedure that is necessary as the first step in high-resolution NMR studies of proteins. In many cases a reliable three-dimensional (3D) structure of the protein is available, for example, from X-ray spectroscopy or homology modeling. Here we introduce the st2nmr program that uses the 3D structure and Nuclear Overhauser Effect spectroscopy (NOESY) peak list(s) to evaluate and optimize trial sequence-specific assignments of spin systems derived from correlation spectra to residues of the protein. A distance-dependent target function that scores trial assignments based on the presence of expected NOESY crosspeaks is optimized in a Monte Carlo fashion. The performance of the program st2nmr is tested on real NMR data of an alpha-helical (cytochrome c) and beta-sheet (lipocalin) protein using homology models and/or X-ray structures; it succeeded in completely reproducing the correct sequence-specific assignments in most cases using 2D and/or 15N/13C Nuclear Overhauser Effect (NOE) data. Additionally to amino acid residues the program can also handle ligands that are bound to the protein, such as heme, and can be used as a complementary tool to fully automated assignment procedures.

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Year:  2002        PMID: 11908496     DOI: 10.1002/jcc.10011

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  12 in total

1.  Backbone assignment of proteins with known structure using residual dipolar couplings.

Authors:  Young-Sang Jung; Markus Zweckstetter
Journal:  J Biomol NMR       Date:  2004-09       Impact factor: 2.835

Review 2.  Automated structure determination from NMR spectra.

Authors:  Peter Güntert
Journal:  Eur Biophys J       Date:  2008-09-20       Impact factor: 1.733

3.  Automatic assignment of protein backbone resonances by direct spectrum inspection in targeted acquisition of NMR data.

Authors:  Leo E Wong; James E Masse; Victor Jaravine; Vladislav Orekhov; Konstantin Pervushin
Journal:  J Biomol NMR       Date:  2008-09-11       Impact factor: 2.835

4.  Graphical interpretation of Boolean operators for protein NMR assignments.

Authors:  Dries Verdegem; Klaas Dijkstra; Xavier Hanoulle; Guy Lippens
Journal:  J Biomol NMR       Date:  2008-09-02       Impact factor: 2.835

5.  Exclusively NOESY-based automated NMR assignment and structure determination of proteins.

Authors:  Teppei Ikeya; Jun-Goo Jee; Yoshiki Shigemitsu; Junpei Hamatsu; Masaki Mishima; Yutaka Ito; Masatsune Kainosho; Peter Güntert
Journal:  J Biomol NMR       Date:  2011-03-30       Impact factor: 2.835

6.  Automated assignment of NMR chemical shifts based on a known structure and 4D spectra.

Authors:  Matthias Trautwein; Kai Fredriksson; Heiko M Möller; Thomas E Exner
Journal:  J Biomol NMR       Date:  2016-08-02       Impact factor: 2.835

7.  Robust structure-based resonance assignment for functional protein studies by NMR.

Authors:  Dirk Stratmann; Eric Guittet; Carine van Heijenoort
Journal:  J Biomol NMR       Date:  2009-12-19       Impact factor: 2.835

8.  RDC derived protein backbone resonance assignment using fragment assembly.

Authors:  Xingsheng Wang; Brian Tash; John M Flanagan; Fang Tian
Journal:  J Biomol NMR       Date:  2010-12-30       Impact factor: 2.835

9.  Contact replacement for NMR resonance assignment.

Authors:  Fei Xiong; Gopal Pandurangan; Chris Bailey-Kellogg
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

10.  NOEnet--use of NOE networks for NMR resonance assignment of proteins with known 3D structure.

Authors:  Dirk Stratmann; Carine van Heijenoort; Eric Guittet
Journal:  Bioinformatics       Date:  2008-12-12       Impact factor: 6.937

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