Literature DB >> 1731873

Solution structure of murine epidermal growth factor determined by NMR spectroscopy and refined by energy minimization with restraints.

G T Montelione1, K Wüthrich, A W Burgess, E C Nice, G Wagner, K D Gibson, H A Scheraga.   

Abstract

The solution structure of murine epidermal growth factor (mEGF) at pH 3.1 and a temperature of 28 degrees C has been determined from NMR data, using distance geometry calculations and restrained energy minimization. The structure determination is based on 730 conformational constraints derived from NMR data, including 644 NOE-derived upper bound distance constraints, constraints on the ranges of 32 dihedral angles based on measurements of vicinal coupling constants, and 54 upper and lower bound constraints associated with nine hydrogen bonds and the three disulfide bonds. The distance geometry interpretation of the NMR data is based on previously published sequence-specific 1H resonance assignments [Montelione et al. (1988) Biochemistry 27, 2235-2243], supplemented here with individual assignments for some side-chain amide, methylene, and isopropyl methyl protons. The molecular architecture of mEGF is the same as that described previously [Montelione et al. (1987) Proc. Natl. Acad. Sci. U.S.A. 84, 5226-5230], but the structure is overall more precisely determined by a more extensive set of NMR constraints. Analysis of proton NMR line widths, amide proton exchange rates, and side-chain 3J(H alpha-H beta) coupling constants provides evidence for internal motion in several regions of the mEGF molecule. Because mEGF is one member of a large family of homologous growth factors and protein domains for which X-ray crystal structures are not yet available, the atomic coordinates resulting from the present structure refinement (which we have deposited in the Brookhaven Protein Data Bank) are important data for understanding the structures of EGF-like proteins and for further detailed comparisons of these structures with mEGF.

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Year:  1992        PMID: 1731873     DOI: 10.1021/bi00116a033

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  18 in total

1.  Classification of protein disulphide-bridge topologies.

Authors:  J M Mas; P Aloy; M A Martí-Renom; B Oliva; R de Llorens; F X Avilés; E Querol
Journal:  J Comput Aided Mol Des       Date:  2001-05       Impact factor: 3.686

2.  Chemically accurate protein structures: validation of protein NMR structures by comparison of measured and predicted pKa values.

Authors:  N Powers; Jan H Jensen
Journal:  J Biomol NMR       Date:  2006-06-03       Impact factor: 2.835

3.  Determinants of the factor IX mutational spectrum in haemophilia B: an analysis of missense mutations using a multi-domain molecular model of the activated protein.

Authors:  A I Wacey; M Krawczak; V V Kakkar; D N Cooper
Journal:  Hum Genet       Date:  1994-12       Impact factor: 4.132

4.  Simulated annealing with restrained molecular dynamics using CONGEN: energy refinement of the NMR solution structures of epidermal and type-alpha transforming growth factors.

Authors:  R Tejero; D Bassolino-Klimas; R E Bruccoleri; G T Montelione
Journal:  Protein Sci       Date:  1996-04       Impact factor: 6.725

5.  The fifth epidermal growth factor-like domain of thrombomodulin does not have an epidermal growth factor-like disulfide bonding pattern.

Authors:  C E White; M J Hunter; D P Meininger; S Garrod; E A Komives
Journal:  Proc Natl Acad Sci U S A       Date:  1996-09-17       Impact factor: 11.205

6.  Structure-function studies of mEGF: probing the type I beta-turn between residues 25 and 26.

Authors:  C C Lester; B Wang; R Wu; H A Scheraga
Journal:  J Protein Chem       Date:  1995-11

Review 7.  My 65 years in protein chemistry.

Authors:  Harold A Scheraga
Journal:  Q Rev Biophys       Date:  2015-04-08       Impact factor: 5.318

8.  Disorder and cysteines in proteins: A design for orchestration of conformational see-saw and modulatory functions.

Authors:  Anukool A Bhopatkar; Vladimir N Uversky; Vijayaraghavan Rangachari
Journal:  Prog Mol Biol Transl Sci       Date:  2020-06-27       Impact factor: 3.622

9.  Prediction of protein deamidation rates from primary and three-dimensional structure.

Authors:  N E Robinson; A B Robinson
Journal:  Proc Natl Acad Sci U S A       Date:  2001-04-10       Impact factor: 11.205

10.  Combined use of 13C chemical shift and 1H alpha-13C alpha heteronuclear NOE data in monitoring a protein NMR structure refinement.

Authors:  B Celda; C Biamonti; M J Arnau; R Tejero; G T Montelione
Journal:  J Biomol NMR       Date:  1995-02       Impact factor: 2.835

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