Structural model for family 32 of glycosyl-hydrolase enzymes
- 15 November 1998
- journal article
- research article
- Published by Wiley in Proteins-Structure Function and Bioinformatics
- Vol. 33 (3) , 383-395
- https://doi.org/10.1002/(sici)1097-0134(19981115)33:3<383::aid-prot7>3.0.co;2-r
Abstract
A structural model is presented for family 32 of the glycosyl‐hydrolase enzymes based on the beta‐propeller fold. The model is derived from the common prediction of two different threading methods, TOPITS and THREADER. In addition, we used a correlated mutation analysis and prediction of active‐site residues to corroborate the proposed model. Physical techniques (circular dichroism and differential scanning calorimetry) confirmed two aspects of the prediction, the proposed all‐beta fold and the multi‐domain structure. The most reliable three‐dimensional model was obtained using the structure of neuraminidase (1nscA) as template. The analysis of the position of the active site residues in this model is compatible with the catalytic mechanism proposed by Reddy and Maley (J. Biol. Chem. 271:13953–13958, 1996), which includes three conserved residues, Asp, Glu, and Cys. Based on this analysis, we propose the participation of one more conserved residue (Asp 162) in the catalytic mechanism. The model will facilitate further studies of the physical and biochemical characteristics of family 32 of the glycosyl‐hydrolases. Proteins 33:383–395, 1998.Keywords
This publication has 37 references indexed in Scilit:
- Fold assembly of small proteins using Monte Carlo simulations driven by restraints derived from multiple sequence alignmentsJournal of Molecular Biology, 1998
- Protein fold recognition by prediction-based threadingJournal of Molecular Biology, 1997
- Threading thrills and threatsStructure, 1996
- Digital control of a differential scanning microcalorimeterMeasurement Science and Technology, 1995
- Statistics of sequence-structure threadingCurrent Opinion in Structural Biology, 1995
- A method to predict functional residues in proteinsNature Structural & Molecular Biology, 1995
- CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choiceNucleic Acids Research, 1994
- A new approach to protein fold recognitionNature, 1992
- Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical featuresBiopolymers, 1983
- The protein data bank: A computer-based archival file for macromolecular structuresJournal of Molecular Biology, 1977