Computational Drug Discovery and Design

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  1. Elastic network model (ENM) is one of the methods which
    characterize a protein based on its residue interaction network,
    and ENM-based NMA was successfully applied to investigate
    functional dynamics or global motion of proteins [21, 45,
    46 ]. Several methods have been proposed to identify hot spot
    residues or allosteric communication network for protein func-
    tion. Statistical coupling analysis (SCA), which adopts
    sequence covariation analysis based on MSA, has gained grow-
    ing popularity [29, 47, 48]. Perturbative study based on ENM,
    known as structural perturbation method (SPM), has also been
    proposed and provides deep insights into the critical residues
    for maintaining the functional dynamics of an enzyme
    [49]. Although each method can predict few key protein resi-
    dues based on its own concept or algorithm, there are still


Table 2
(continued)


Enhanced MD technique Methodology Applications
Multicanonical ensemble A constant temperature MD on a
deformed PE surface, which
provides a multicanonical ensemble
with a flat energy distribution
The multicanonical ensemble is
subsequently converted into a
canonical ensemble by reweighting
the formula of Ferrenberg and
Swendsen

Larger conformational space
sampling

Random acceleration
molecular dynamics
(RAMD)

Applies a force in a random direction
to COM of the ligand in addition to
its forcefield
Allow ligands to explore possible
dissociation pathways in an unbiased
manner

Ligand dissociation pathways

Replica exchange
molecular dynamics
(REMD)/Parallel
tempering

Run multiple MD simulations with
different values of a specific
exchange variable, i.e., temperature
Based on Metropolis criterion, the
systems states are exchanged
between neighboring simulations at
regular intervals

Free energy landscape, protein
protonation states, and peptide/
protein folding mechanism

Umbrella sampling (US) Employs collective variables
The restraint bias potential (quadratic
or harmonic form) forces the
collective variables in a window to
remain close to the COM
The sets of collective variables must
allow slight overlapping of windows

Ligand binding mechanism, and
ion-induced diffusion in
membrane proteins

468 Shaherin Basith et al.

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