Literature DB >> 8574703

Automated analysis of nuclear magnetic resonance assignments for proteins.

D E Zimmerman1, G T Montelione.   

Abstract

Recent developments in protein NMR technology provide spectral data that are highly amendable to analysis by computer software systems. Automated methods of analysis use constraint satisfaction, pseudoenergy minimization, directed search, neural net, simulated annealing, and/or genetic algorithms to establish sequential links and sequence-specific assignments. The most advanced systems provide automated analysis of complete backbone and extensive side-chain resonance assignments for proteins of 50-150 amino acids.

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Year:  1995        PMID： 8574703     DOI： 10.1016/0959-440x(95)80060-3

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN： 0959-440X            Impact factor:   6.809


  18 in total

1.  Smartnotebook: a semi-automated approach to protein sequential NMR resonance assignments.

Authors:  Carolyn M Slupsky; Robert F Boyko; Valerie K Booth; Brian D Sykes
Journal:  J Biomol NMR       Date:  2003-12       Impact factor: 2.835

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

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

3.  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

4.  IBIS--a tool for automated sequential assignment of protein spectra from triple resonance experiments.

Authors:  Sven G Hyberts; Gerhard Wagner
Journal:  J Biomol NMR       Date:  2003-08       Impact factor: 2.835

5.  Mars -- robust automatic backbone assignment of proteins.

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

6.  SAGA: rapid automatic mainchain NMR assignment for large proteins.

Authors:  Gordon M Crippen; Aikaterini Rousaki; Matthew Revington; Yongbo Zhang; Erik R P Zuiderweg
Journal:  J Biomol NMR       Date:  2010-03-16       Impact factor: 2.835

7.  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

8.  Sequence specific resonance assignment via Multicanonical Monte Carlo search using an ABACUS approach.

Authors:  Alexander Lemak; Carlos A Steren; Cheryl H Arrowsmith; Miguel Llinás
Journal:  J Biomol NMR       Date:  2008-05-06       Impact factor: 2.835

9.  Phase labeling of C-H and C-C spin-system topologies: application in PFG-HACANH and PFG-HACA(CO)NH triple-resonance experiments for determining backbone resonance assignments in proteins.

Authors:  W Feng; C B Rios; G T Montelione
Journal:  J Biomol NMR       Date:  1996-07       Impact factor: 2.835

Review 10.  Evolutionary algorithms in computer-aided molecular design.

Authors:  D E Clark; D R Westhead
Journal:  J Comput Aided Mol Des       Date:  1996-08       Impact factor: 3.686
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