Literature DB >> 15808219

An integrated platform for automated analysis of protein NMR structures.

Yuanpeng Janet Huang1, Hunter N B Moseley, Michael C Baran, Cheryl Arrowsmith, Robert Powers, Roberto Tejero, Thomas Szyperski, Gaetano T Montelione.   

Abstract

Recent developments provide automated analysis of NMR assignments and three-dimensional (3D) structures of proteins. These approaches are generally applicable to proteins ranging from about 50 to 150 amino acids. In this chapter, we summarize progress by the Northeast Structural Genomics Consortium in standardizing the NMR data collection process for protein structure determination and in building an integrated platform for automated protein NMR structure analysis. Our integrated platform includes the following principal steps: (1) standardized NMR data collection, (2) standardized data processing (including spectral referencing and Fourier transformation), (3) automated peak picking and peak list editing, (4) automated analysis of resonance assignments, (5) automated analysis of NOESY data together with 3D structure determination, and (6) methods for protein structure validation. In particular, the software AutoStructure for automated NOESY data analysis is described in this chapter, together with a discussion of practical considerations for its use in high-throughput structure production efforts. The critical area of data quality assessment has evolved significantly over the past few years and involves evaluation of both intermediate and final peak lists, resonance assignments, and structural information derived from the NMR data. Methods for quality control of each of the major automated analysis steps in our platform are also discussed. Despite significant remaining challenges, when good quality data are available, automated analysis of protein NMR assignments and structures with this platform is both fast and reliable.

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Year:  2005        PMID: 15808219     DOI: 10.1016/S0076-6879(05)94005-6

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  41 in total

1.  Solution NMR structure of the ARID domain of human AT-rich interactive domain-containing protein 3A: a human cancer protein interaction network target.

Authors:  Gaohua Liu; Yuanpeng J Huang; Rong Xiao; Dongyan Wang; Thomas B Acton; Gaetano T Montelione
Journal:  Proteins       Date:  2010-07

Review 2.  A community resource of experimental data for NMR / X-ray crystal structure pairs.

Authors:  John K Everett; Roberto Tejero; Sarath B K Murthy; Thomas B Acton; James M Aramini; Michael C Baran; Jordi Benach; John R Cort; Alexander Eletsky; Farhad Forouhar; Rongjin Guan; Alexandre P Kuzin; Hsiau-Wei Lee; Gaohua Liu; Rajeswari Mani; Binchen Mao; Jeffrey L Mills; Alexander F Montelione; Kari Pederson; Robert Powers; Theresa Ramelot; Paolo Rossi; Jayaraman Seetharaman; David Snyder; G V T Swapna; Sergey M Vorobiev; Yibing Wu; Rong Xiao; Yunhuang Yang; Cheryl H Arrowsmith; John F Hunt; Michael A Kennedy; James H Prestegard; Thomas Szyperski; Liang Tong; Gaetano T Montelione
Journal:  Protein Sci       Date:  2015-09-22       Impact factor: 6.725

3.  Introduction of a polar core into the de novo designed protein Top7.

Authors:  Benjamin Basanta; Kui K Chan; Patrick Barth; Tiffany King; Tobin R Sosnick; James R Hinshaw; Gaohua Liu; John K Everett; Rong Xiao; Gaetano T Montelione; David Baker
Journal:  Protein Sci       Date:  2016-03-07       Impact factor: 6.725

4.  Advances in Nuclear Magnetic Resonance for Drug Discovery.

Authors:  Robert Powers
Journal:  Expert Opin Drug Discov       Date:  2009-10-01       Impact factor: 6.098

5.  An automated assignment-free Bayesian approach for accurately identifying proton contacts from NOESY data.

Authors:  Ling-Hong Hung; Ram Samudrala
Journal:  J Biomol NMR       Date:  2006-10-03       Impact factor: 2.835

6.  The war of tools: how can NMR spectroscopists detect errors in their structures?

Authors:  Edoardo Saccenti; Antonio Rosato
Journal:  J Biomol NMR       Date:  2008-03-05       Impact factor: 2.835

7.  NMR structure of the peptidyl-tRNA hydrolase domain from Pseudomonas syringae expands the structural coverage of the hydrolysis domains of class 1 peptide chain release factors.

Authors:  Kiran Kumar Singarapu; Rong Xiao; Thomas Acton; Burkhard Rost; Gaetano T Montelione; Thomas Szyperski
Journal:  Proteins       Date:  2008-05-01

8.  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 9.  Automated structure determination from NMR spectra.

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

10.  Structure of the N terminus of a nonmuscle alpha-tropomyosin in complex with the C terminus: implications for actin binding.

Authors:  Norma J Greenfield; Lucy Kotlyanskaya; Sarah E Hitchcock-DeGregori
Journal:  Biochemistry       Date:  2009-02-17       Impact factor: 3.162

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