Literature DB >> 12566995

MONTE: An automated Monte Carlo based approach to nuclear magnetic resonance assignment of proteins.

T Kevin Hitchens1, Jonathan A Lukin, Yiping Zhan, Scott A McCallum, Gordon S Rule.   

Abstract

A general-purpose Monte Carlo assignment program has been developed to aid in the assignment of NMR resonances from proteins. By virtue of its flexible data requirements the program is capable of obtaining assignments of both heavily deuterated and fully protonated proteins. A wide variety of source data, such as inter-residue scalar connectivity, inter-residue dipolar (NOE) connectivity, and residue specific information, can be utilized in the assignment process. The program can also use known assignments from one form of a protein to facilitate the assignment of another form of the protein. This attribute is useful for assigning protein-ligand complexes when the assignments of the unliganded protein are known. The program can be also be used as an interactive research tool to assist in the choice of additional experimental data to facilitate completion of assignments. The assignment of a deuterated 45 kDa homodimeric Glutathione-S-transferase illustrates the principal features of the program.

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Year:  2003        PMID: 12566995     DOI: 10.1023/a:1021975923026

Source DB:  PubMed          Journal:  J Biomol NMR        ISSN: 0925-2738            Impact factor:   2.835


  29 in total

Review 1.  Automated analysis of NMR assignments and structures for proteins.

Authors:  H N Moseley; G T Montelione
Journal:  Curr Opin Struct Biol       Date:  1999-10       Impact factor: 6.809

Review 2.  Deuterium labelling in NMR structural analysis of larger proteins.

Authors:  D M LeMaster
Journal:  Q Rev Biophys       Date:  1990-05       Impact factor: 5.318

3.  Automated analysis of protein NMR assignments using methods from artificial intelligence.

Authors:  D E Zimmerman; C A Kulikowski; Y Huang; W Feng; M Tashiro; S Shimotakahara; C Chien; R Powers; G T Montelione
Journal:  J Mol Biol       Date:  1997-06-20       Impact factor: 5.469

4.  Automated resonance assignment of proteins using heteronuclear 3D NMR. 2. Side chain and sequence-specific assignment.

Authors:  K B Li; B C Sanctuary
Journal:  J Chem Inf Comput Sci       Date:  1997 May-Jun

5.  Amino-acid-type-selective triple-resonance experiments.

Authors:  V Dötsch; R E Oswald; G Wagner
Journal:  J Magn Reson B       Date:  1996-01

Review 6.  Automated analysis of nuclear magnetic resonance assignments for proteins.

Authors:  D E Zimmerman; G T Montelione
Journal:  Curr Opin Struct Biol       Date:  1995-10       Impact factor: 6.809

7.  Characterizing the use of perdeuteration in NMR studies of large proteins: 13C, 15N and 1H assignments of human carbonic anhydrase II.

Authors:  R A Venters; B T Farmer; C A Fierke; L D Spicer
Journal:  J Mol Biol       Date:  1996-12-20       Impact factor: 5.469

8.  Automated backbone assignment of labeled proteins using the threshold accepting algorithm.

Authors:  M Leutner; R M Gschwind; J Liermann; C Schwarz; G Gemmecker; H Kessler
Journal:  J Biomol NMR       Date:  1998-01       Impact factor: 2.835

9.  An automated procedure for the assignment of protein 1HN, 15N, 13C alpha, 1H alpha, 13C beta and 1H beta resonances.

Authors:  M S Friedrichs; L Mueller; M Wittekind
Journal:  J Biomol NMR       Date:  1994-09       Impact factor: 2.835

10.  Protein three-dimensional structure determination and sequence-specific assignment of 13C and 15N-separated NOE data. A novel real-space ab initio approach.

Authors:  P J Kraulis
Journal:  J Mol Biol       Date:  1994-11-04       Impact factor: 5.469

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  29 in total

1.  Backbone resonance assignments of human adult hemoglobin in the carbonmonoxy form.

Authors:  Jonathan A Lukin; Georg Kontaxis; Virgil Simplaceanu; Yue Yuan; Ad Bax; Chien Ho
Journal:  J Biomol NMR       Date:  2004-02       Impact factor: 2.835

2.  Data requirements for reliable chemical shift assignments in deuterated proteins.

Authors:  T Kevin Hitchens; Scott A McCallum; Gordon S Rule
Journal:  J Biomol NMR       Date:  2003-01       Impact factor: 2.835

3.  Probabilistic Identification of Spin Systems and their Assignments including Coil-Helix Inference as Output (PISTACHIO).

Authors:  Hamid R Eghbalnia; Arash Bahrami; Liya Wang; Amir Assadi; John L Markley
Journal:  J Biomol NMR       Date:  2005-07       Impact factor: 2.835

4.  CASA: an efficient automated assignment of protein mainchain NMR data using an ordered tree search algorithm.

Authors:  Jianyong Wang; Tianzhi Wang; Erik R P Zuiderweg; Gordon M Crippen
Journal:  J Biomol NMR       Date:  2005-12       Impact factor: 2.835

5.  PASA--a program for automated protein NMR backbone signal assignment by pattern-filtering approach.

Authors:  Yizhuang Xu; Xiaoxia Wang; Jun Yang; Julia Vaynberg; Jun Qin
Journal:  J Biomol NMR       Date:  2006-01       Impact factor: 2.835

6.  Inferential backbone assignment for sparse data.

Authors:  Olga Vitek; Chris Bailey-Kellogg; Bruce Craig; Jan Vitek
Journal:  J Biomol NMR       Date:  2006-07       Impact factor: 2.835

7.  Four-alpha-helix bundle with designed anesthetic binding pockets. Part I: structural and dynamical analyses.

Authors:  Dejian Ma; Nicole R Brandon; Tanxing Cui; Vasyl Bondarenko; Christian Canlas; Jonas S Johansson; Pei Tang; Yan Xu
Journal:  Biophys J       Date:  2008-02-29       Impact factor: 4.033

8.  Automated assignment of NMR chemical shifts using peak-particle dynamics simulation with the DYNASSIGN algorithm.

Authors:  Roland Schmucki; Shigeyuki Yokoyama; Peter Güntert
Journal:  J Biomol NMR       Date:  2008-11-26       Impact factor: 2.835

9.  Automated protein structure calculation from NMR data.

Authors:  Mike P Williamson; C Jeremy Craven
Journal:  J Biomol NMR       Date:  2009-01-10       Impact factor: 2.835

Review 10.  Automated structure determination from NMR spectra.

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

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