Literature DB >> 9835047

CAMRA: chemical shift based computer aided protein NMR assignments.

W Gronwald1, L Willard, T Jellard, R F Boyko, K Rajarathnam, D S Wishart, F D Sönnichsen, B D Sykes.   

Abstract

A suite of programs called CAMRA (Computer Aided Magnetic Resonance Assignment) has been developed for computer assisted residue-specific assignments of proteins. CAMRA consists of three units: ORB, CAPTURE and PROCESS. ORB predicts NMR chemical shifts for unassigned proteins using a chemical shift database of previously assigned homologous proteins supplemented by a statistically derived chemical shift database in which the shifts are categorized according to their residue, atom and secondary structure type. CAPTURE generates a list of valid peaks from NMR spectra by filtering out noise peaks and other artifacts and then separating the derived peak list into distinct spin systems. PROCESS combines the chemical shift predictions from ORB with the spin systems identified by CAPTURE to obtain residue specific assignments. PROCESS ranks the top choices for an assignment along with scores and confidence values. In contrast to other auto-assignment programs, CAMRA does not use any connectivity information but instead is based solely on matching predicted shifts with observed spin systems. As such, CAMRA represents a new and unique approach for the assignment of protein NMR spectra. CAMRA will be particularly useful in conjunction with other assignment methods and under special circumstances, such as the assignment of flexible regions in proteins where sufficient NOE information is generally not available. CAMRA was tested on two medium-sized proteins belonging to the chemokine family. It was found to be effective in predicting the assignment providing a database of previously assigned proteins with at least 30% sequence identity is available. CAMRA is versatile and can be used to include and evaluate heteronuclear and three-dimensional experiments.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9835047     DOI: 10.1023/a:1008321629308

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


  27 in total

1.  Tools for the automated assignment of high-resolution three-dimensional protein NMR spectra based on pattern recognition techniques.

Authors:  D Croft; J Kemmink; K P Neidig; H Oschkinat
Journal:  J Biomol NMR       Date:  1997-10       Impact factor: 2.835

2.  Structures of larger proteins in solution: three- and four-dimensional heteronuclear NMR spectroscopy.

Authors:  G M Clore; A M Gronenborn
Journal:  Science       Date:  1991-06-07       Impact factor: 47.728

3.  A computer-based protocol for semiautomated assignments and 3D structure determination of proteins.

Authors:  R P Meadows; E T Olejniczak; S W Fesik
Journal:  J Biomol NMR       Date:  1994-01       Impact factor: 2.835

4.  Automated and semiautomated analysis of homo- and heteronuclear multidimensional nuclear magnetic resonance spectra of proteins: the program Pronto.

Authors:  M Kjaer; K V Andersen; F M Poulsen
Journal:  Methods Enzymol       Date:  1994       Impact factor: 1.600

5.  Application of neural networks to automated assignment of NMR spectra of proteins.

Authors:  B J Hare; J H Prestegard
Journal:  J Biomol NMR       Date:  1994-01       Impact factor: 2.835

6.  Automated sequencing of amino acid spin systems in proteins using multidimensional HCC(CO)NH-TOCSY spectroscopy and constraint propagation methods from artificial intelligence.

Authors:  D Zimmerman; C Kulikowski; L Wang; B Lyons; G T Montelione
Journal:  J Biomol NMR       Date:  1994-03       Impact factor: 2.835

7.  Evaluation of an algorithm for the automated sequential assignment of protein backbone resonances: a demonstration of the connectivity tracing assignment tools (CONTRAST) software package.

Authors:  J B Olson; J L Markley
Journal:  J Biomol NMR       Date:  1994-05       Impact factor: 2.835

8.  1H NMR studies of interleukin 8 analogs: characterization of the domains essential for function.

Authors:  K Rajarathnam; I Clark-Lewis; B D Sykes
Journal:  Biochemistry       Date:  1994-05-31       Impact factor: 3.162

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

View more
  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.  Mars -- robust automatic backbone assignment of proteins.

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

5.  KUJIRA, a package of integrated modules for systematic and interactive analysis of NMR data directed to high-throughput NMR structure studies.

Authors:  Naohiro Kobayashi; Junji Iwahara; Seizo Koshiba; Tadashi Tomizawa; Naoya Tochio; Peter Güntert; Takanori Kigawa; Shigeyuki Yokoyama
Journal:  J Biomol NMR       Date:  2007-07-18       Impact factor: 2.835

6.  Automated amino acid side-chain NMR assignment of proteins using (13)C- and (15)N-resolved 3D [ (1)H, (1)H]-NOESY.

Authors:  Francesco Fiorito; Torsten Herrmann; Fred F Damberger; Kurt Wüthrich
Journal:  J Biomol NMR       Date:  2008-08-16       Impact factor: 2.835

Review 7.  Automated structure determination from NMR spectra.

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

8.  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

9.  Automated sequence-specific protein NMR assignment using the memetic algorithm MATCH.

Authors:  Jochen Volk; Torsten Herrmann; Kurt Wüthrich
Journal:  J Biomol NMR       Date:  2008-05-30       Impact factor: 2.835

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.