TY - JOUR
T1 - Escherichia coli adenylate kinase dynamics
T2 - Comparison of elastic network model modes with mode-coupling 15N-NMR relaxation data
AU - Temiz, N. Alpay
AU - Meirovitch, Eva
AU - Bahar, Ivet
PY - 2004/11/15
Y1 - 2004/11/15
N2 - The dynamics of adenylate kinase of Escherichia coli (AKeco) and its complex with the inhibitor AP5A, are characterized by correlating the theoretical results obtained with the Gaussian Network Model (GNM) and the anisotropic network model (ANM) with the order parameters and correlation times obtained with Slowly Relaxing Local Structure (SRLS) analysis of 15N-NMR relaxation data. The AMPbd and LID domains of AKeco execute in solution large amplitude motions associated with the catalytic reaction Mg+2*ATP + AMP → Mg+2*ADP + ADP. Two sets of correlation times and order parameters were determined by NMR/SRLS for AKeco, attributed to slow (nanoseconds) motions with correlation time τ⊥ and low order parameters, and fast (picoseconds) motions with correlation time τ∥ and high order parameters. The structural connotation of these patterns is examined herein by subjecting AKeco and AKeco*AP5A to GNM analysis, which yields the dynamic spectrum in terms of slow and fast modes. The low/high NMR order parameters correlate with the slow/fast modes of the backbone elucidated with GNM. Likewise, τ∥ and τ⊥ are associated with fast and slow GNM modes, respectively. Catalysis-related domain motion of AMPbd and LID in AKeco, occurring per NMR with correlation time τ ⊥, is associated with the first and second collective slow (global) GNM modes. The ANM-predicted deformations of the unliganded enzyme conform to the functional reconfiguration induced by ligand-binding, indicating the structural disposition (or potential) of the enzyme to bind its substrates. It is shown that NMR/SRLS and GNM/ ANM analyses can be advantageously synthesized to provide insights into the molecular mechanisms that control biological function.
AB - The dynamics of adenylate kinase of Escherichia coli (AKeco) and its complex with the inhibitor AP5A, are characterized by correlating the theoretical results obtained with the Gaussian Network Model (GNM) and the anisotropic network model (ANM) with the order parameters and correlation times obtained with Slowly Relaxing Local Structure (SRLS) analysis of 15N-NMR relaxation data. The AMPbd and LID domains of AKeco execute in solution large amplitude motions associated with the catalytic reaction Mg+2*ATP + AMP → Mg+2*ADP + ADP. Two sets of correlation times and order parameters were determined by NMR/SRLS for AKeco, attributed to slow (nanoseconds) motions with correlation time τ⊥ and low order parameters, and fast (picoseconds) motions with correlation time τ∥ and high order parameters. The structural connotation of these patterns is examined herein by subjecting AKeco and AKeco*AP5A to GNM analysis, which yields the dynamic spectrum in terms of slow and fast modes. The low/high NMR order parameters correlate with the slow/fast modes of the backbone elucidated with GNM. Likewise, τ∥ and τ⊥ are associated with fast and slow GNM modes, respectively. Catalysis-related domain motion of AMPbd and LID in AKeco, occurring per NMR with correlation time τ ⊥, is associated with the first and second collective slow (global) GNM modes. The ANM-predicted deformations of the unliganded enzyme conform to the functional reconfiguration induced by ligand-binding, indicating the structural disposition (or potential) of the enzyme to bind its substrates. It is shown that NMR/SRLS and GNM/ ANM analyses can be advantageously synthesized to provide insights into the molecular mechanisms that control biological function.
KW - Collective modes
KW - Conformational changes
KW - Gaussian network model
KW - Slowly Relaxing Local Structure
UR - http://www.scopus.com/inward/record.url?scp=6344231648&partnerID=8YFLogxK
U2 - 10.1002/prot.20226
DO - 10.1002/prot.20226
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C2 - 15382240
AN - SCOPUS:6344231648
SN - 0887-3585
VL - 57
SP - 468
EP - 480
JO - Proteins: Structure, Function and Genetics
JF - Proteins: Structure, Function and Genetics
IS - 3
ER -