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From Protein Structure to Function with Bioinformatics.pdf

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9 <strong>Protein</strong> Dynamics: <strong>From</strong> <strong>Structure</strong> <strong>to</strong> <strong>Function</strong> 237while the AMPbd, comprising helices α 2and α 3, assumes a half-open conformation.In doing so, α 2bends <strong>to</strong>wards helix α 4of the CORE by 15 degrees <strong>with</strong>respect <strong>to</strong> α 3. This opening of the AMP binding cleft could facilitate an efficientrelease of the formed product. For the second phase, a partially correlated openingof the LID domain <strong>to</strong>gether <strong>with</strong> the AMPbd is observed. Compared <strong>to</strong> coarsegrainedapproaches, all-a<strong>to</strong>m TEE-REX simulations allow detailed analyses ofinter-residue interactions. For ADK, a highly stable salt bridge between residuesAsp118 and Lys136 forms during phase one, connecting the LID and COREdomains. Estimating the <strong>to</strong>tal non-bonded interaction between LID and CORE, itwas found that this salt-bridge contributes substantially <strong>to</strong> the interaction of thetwo domains. Breaking this salt bridge via mutation, e.g. Asp118Ala, should thusdecrease the stability of the open state. <strong>From</strong> a comparison of fourteen <strong>Protein</strong>Data Bank (PDB) structures from yeast, maize, human and bacterial ADK, elevenstructures feature such a salt-bridge motif at the LID-CORE interface.Alternative transition pathways seem possible, however an analysis of all TEE-REXsimulations suggests a high free energy barrier obstructing the full opening of theAMPbd after the LID has opened. Together <strong>with</strong> the observed larger fluctuations in secondarystructure elements, indicating high internal strain energies, the enthalpic penaltyalong this route possibly renders it unfavourable as a transition pathway of ADK.9.4 Methods for <strong>Function</strong>al Mode PredictionAs discussed in the previous section, functional modes in proteins are usually those<strong>with</strong> the lowest frequencies. Apart from molecular dynamics based techniques,there are several alternative methods that focus on the prediction of these essentialdegrees of freedom based on a single input structure.9.4.1 Normal Mode AnalysisNormal mode analysis (NMA) is one of the major simulation techniques used <strong>to</strong>probe the large-scale, shape-changing motions in biological molecules (Gō et al.1983; Brooks and Karplus 1983; Levitt et al. 1983). These motions are often coupled<strong>to</strong> function and a consequence of binding other molecules like substrates,drugs or other proteins. In NMA studies it is implicitly assumed that the normalmodes <strong>with</strong> the largest fluctuation (lowest frequency modes) are the ones that arefunctionally relevant, because, like function they exist by evolutionary “design”rather than by chance.Normal mode analysis is a harmonic analysis. The underlying assumption is thatthe conformational energy surface can be approximated by a parabola, despite thefact that functional modes at physiological temperatures are highly anharmonic

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