Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/214
Title: The Role of Metal Ions in Substrate Recognition and Stability of Concanavalin A: A Molecular Dynamics Study
Authors: Mohanty, Debasisa
Surolia, Avadhesha
Kaushik, Sandeep
Issue Date: Jan-2009
Publisher: the Biophysical Society
Abstract: The binding of carbohydrate substrates to concanavalin A (Canavalia ensiformis agglutinin (ConA)) is essential for its interaction with various glycoproteins. Even though metal ions are known to control the sugar binding ability of legume lectins, the interplay between sugar and metal ion binding to ConA has not been elucidated in a detailed manner at the atomic level. We have carried out long, explicit solvent molecular dynamics simulations for tetrameric, dimeric, and monomeric forms of ConA in both the presence and absence of trimannoside and metal ions. Detailed analyses of these trajectories for various oligomeric forms under different environmental conditions have revealed dynamic conformational changes associated with the demetalization of ConA. We found that demetalization of ConA leads to large conformational changes in the ion binding loop, with some of the loop residues moving as far as 17A˚ with respect to their positions in the native trimannoside and metal ion-bound crystal structure. However, the b-sheet core of the protein remains relatively unperturbed. In addition, the high mobility of the ion binding loop results in drifting of the substrates in the absence of bound metal ions. These simulations provide a theoretical rationale for previous experimental observations regarding the abolition of the sugar binding ability upon demetalization. We also found that the amino acid stretches of ConA, having high B-factor values in the crystal structure, show relatively greater mobility in the simulations. The overall agreement of the results of our simulations with various experimental studies suggests that the force field parameters and length of simulations used in our study are adequate to mimic the dynamic structural changes in the ConA protein.
URI: http://hdl.handle.net/123456789/214
Appears in Collections:Bioinformatics Centre, Publications

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