Computational Drug Discovery and Design

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  1. This screening strategy is likely to work best where the cap-
    tured conformation is less affected by the bound Fab/VHH
    domain [178].

  2. CPMG data can be difficult to interpret; there are cases where
    MD simulations found hidden conformations which in turn
    enabled the understanding of CPMG data through the fitting
    of a suitable model [179, 180].

  3. This is a particularly interesting study, as it uses an approach
    which requires only a small amount of initial knowledge about
    the transition.

  4. An interesting recent study combines celling with a self-
    seeding approach which uses the shape of the local energy
    surface to guess at new conformations to start unbiased simu-
    lations from [181]

  5. Previous NMR studies offered limited but specific information
    about which side-chains were involved in this allostery. How-
    ever, this information is not sufficient to build a CV to correctly
    sample these invisible states of KIX as the protein must access
    an excited state seen on a timescale of ~3 ms. In this case a
    special form of metadynamics, the well-tempered ensemble
    (WTE), was applied and the potential energy was used as a
    CVand biased. With the WTE the average energy is the same as
    seen without bias but the fluctuations are amplified, and the
    correct distribution can be generated through reweighting.
    A WTE simulation was able to extensively sample the excited
    state of KIX, in 100 ns of atomistic biased simulation, allowing
    a detailed understanding of the allosteric mechanism previously
    not possible.


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