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Ligand binding and circular permutation modify residue interaction network in DHFR.
Hu, Zengjian; Bowen, Donnell; Southerland, William M. et al.
2007In PLoS Computational Biology, 3 (6), p. 117
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Keywords :
Amino Acid Sequence; Amino Acid Substitution; Amino Acids/chemistry; Ligands; Molecular Sequence Data; Protein Binding; Protein Interaction Mapping/methods; Sequence Analysis, Protein/methods; Structure-Activity Relationship; Tetrahydrofolate Dehydrogenase/chemistry
Abstract :
[en] Residue interaction networks and loop motions are important for catalysis in dihydrofolate reductase (DHFR). Here, we investigate the effects of ligand binding and chain connectivity on network communication in DHFR. We carry out systematic network analysis and molecular dynamics simulations of the native DHFR and 19 of its circularly permuted variants by breaking the chain connections in ten folding element regions and in nine nonfolding element regions as observed by experiment. Our studies suggest that chain cleavage in folding element areas may deactivate DHFR due to large perturbations in the network properties near the active site. The protein active site is near or coincides with residues through which the shortest paths in the residue interaction network tend to go. Further, our network analysis reveals that ligand binding has "network-bridging effects" on the DHFR structure. Our results suggest that ligand binding leads to a modification, with most of the interaction networks now passing through the cofactor, shortening the average shortest path. Ligand binding at the active site has profound effects on the network centrality, especially the closeness.
Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
Hu, Zengjian
Bowen, Donnell
Southerland, William M.
del Sol Mesa, Antonio ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Pan, Yongping
Nussinov, Ruth
Ma, Buyong
Language :
English
Title :
Ligand binding and circular permutation modify residue interaction network in DHFR.
Publication date :
12 June 2007
Journal title :
PLoS Computational Biology
ISSN :
1553-7358
Publisher :
Public Library of Science, United States - California
Volume :
3
Issue :
6
Pages :
e117
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 03 September 2014

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