Literature DB >> 7897663

The crystal structure of porcine pancreatic alpha-amylase in complex with the microbial inhibitor Tendamistat.

G Wiegand1, O Epp, R Huber.   

Abstract

The crystal structure of the complex formed between the 498 amino acid residue porcine pancreatic alpha-amylase (PPA) and the 74 amino acid residue inhibitor Tendamistat secreted from Streptomyces tendae, has been determined by multiple isomorphous replacement in a crystal of space group P6(5)22 (a = b = 77.7 A, c = 359.5 A). The model has been refined to an R-factor of 0.194 by Powell minimization applying strong energy constraints based on 17,964 independent reflections in the 7 to 2.5 A resolution range, and obeys standard geometry within 0.011 A in bond lengths and 1.78 degrees in bond angles. The final model consists of all 496 amino acid residues of PPA, 71 amino acid residues of Tendamistat (without the three N-terminal residues), one calcium ion, one chloride ion and 167 water molecules. PPA exhibits the same topological fold in the complex as the uncomplexed PPA recently published by others. About 30% of the water-accessible surface of Tendamistat is in contact with PPA. Four segments of the polypeptide chain, with a total of 15 amino acid residues, are involved in the binding. One segment containing the staggered side-chains of the triplet Trp18, Arg19, Tyr20, typical for this class of inhibitors, binds into the catalytic site. The other segments fill out the groove in the PPA molecule, which also binds the carbohydrate inhibitor acarbose and is assumed to be the substrate-binding region. This extended interaction between Tendamistat and alpha-amylase explains the very high inhibition constant of about 9 x 10(-12) M.

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Year:  1995        PMID: 7897663     DOI: 10.1006/jmbi.1994.0125

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  15 in total

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2.  Sequence composition and environment effects on residue fluctuations in protein structures.

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3.  Genomic and functional characterization of coleopteran insect-specific α-amylase inhibitor gene from Amaranthus species.

Authors:  Amey J Bhide; Sonal M Channale; Yashpal Yadav; Kabita Bhattacharjee; Pankaj K Pawar; V L Maheshwari; Vidya S Gupta; Sureshkumar Ramasamy; Ashok P Giri
Journal:  Plant Mol Biol       Date:  2017-04-12       Impact factor: 4.076

4.  Templating α-amylase peptide inhibitors with organotin compounds.

Authors:  Fernando Porcelli; Cristina Olivieri; Larry R Masterson; Yi Wang; Gianluigi Veglia
Journal:  J Biol Inorg Chem       Date:  2011-07-07       Impact factor: 3.358

5.  Structural and mechanistic studies of chloride induced activation of human pancreatic alpha-amylase.

Authors:  Robert Maurus; Anjuman Begum; Hsin-Hen Kuo; Andrew Racaza; Shin Numao; Carsten Andersen; Jeppe W Tams; Jesper Vind; Christopher M Overall; Stephen G Withers; Gary D Brayer
Journal:  Protein Sci       Date:  2005-03       Impact factor: 6.725

6.  Cloning, mutagenesis, and structural analysis of human pancreatic alpha-amylase expressed in Pichia pastoris.

Authors:  E H Rydberg; G Sidhu; H C Vo; J Hewitt; H C Côte; Y Wang; S Numao; R T MacGillivray; C M Overall; G D Brayer; S G Withers
Journal:  Protein Sci       Date:  1999-03       Impact factor: 6.725

7.  Real-time and equilibrium (19)F-NMR studies reveal the role of domain-domain interactions in the folding of the chaperone PapD.

Authors:  James G Bann; Jerome Pinkner; Scott J Hultgren; Carl Frieden
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-15       Impact factor: 11.205

8.  New type of starch-binding domain: the direct repeat motif in the C-terminal region of Bacillus sp. no. 195 alpha-amylase contributes to starch binding and raw starch degrading.

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Journal:  Biochem J       Date:  2000-09-01       Impact factor: 3.857

Review 9.  α-Glucosidases and α-1,4-glucan lyases: structures, functions, and physiological actions.

Authors:  Masayuki Okuyama; Wataru Saburi; Haruhide Mori; Atsuo Kimura
Journal:  Cell Mol Life Sci       Date:  2016-04-30       Impact factor: 9.261

10.  Classification of heterodimer interfaces using docking models and construction of scoring functions for the complex structure prediction.

Authors:  Yuko Tsuchiya; Eiji Kanamori; Haruki Nakamura; Kengo Kinoshita
Journal:  Adv Appl Bioinform Chem       Date:  2009-09-22
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