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@ARTICLE{Giorgetti:201302,
author = {Giorgetti, Alejandro and Ruggerone, Paolo and Pantano,
Sergio and Carloni, Paolo},
title = {{A}dvanced {C}omputational {M}ethods in {M}olecular
{M}edicine},
journal = {Journal of biomedicine and biotechnology},
volume = {2012},
issn = {1110-7251},
address = {Cuyahoga Falls, Ohio},
reportid = {FZJ-2015-03607},
pages = {1 - 2},
year = {2012},
abstract = {The dauntingly complex functioning of human cells is often
the outcome of several molecular processes. Understanding
such processes is crucial for modern drug discovery,
defining interaction cascades, assessing the effects of
mutations changes in local concentrations of ligands, and so
forth. Computational methods, from systems biology to
bioinformatics and molecular simulation, allow to access
features difficult or impossible to be measured. Models (if
properly validated against experimental data) help
understand the intricate molecular mechanisms of life
processes. Bolstering the predictive power of these models
calls upon the computational biologist to improve algorithms
and methods. This issue reports on procedures and on
applications facing current challenges in computational
biology.Modern biological sciences are becoming more and
more multidisciplinary. At the same time, theoretical and
computational approaches gain in reliability and their field
of application widens. O. Fisette at al. discuss recent
advances in the areas of solution nuclear magnetic resonance
(NMR) spectroscopy and molecular dynamics (MD) simulations
that were made possible by the synergistic combination of
both methods.Interaction of proteins is of vital importance
for many cellular processes and when altered may cause
significant health problems, thus the availability of
reliable tools to predict and study the determinants of
protein-protein interactions is needed. In this regard, X.
-Y. Meng et al. present a newly adapted, computationally
efficient Brownian Dynamics- (BD-) based protein docking
method for predicting native protein complexes. The approach
includes global BD conformational sampling, compact complex
selection, and local energy minimization. A shell-based grid
force field represents the receptor protein and solvation
effects, partially considering protein flexibility.Hybrid
quantum mechanics/molecular mechanics (QM/MM) calculations
are routinely used to study quantum mechanical processes in
biological systems. J. Kang et al. present a review paper
describing an UNIX shell-based interface program connecting
two widely used QM and MM calculation engines, GAMESS and
AMBER. The tool was used to investigate a metalloenzyme,
azurin, and PU.1-DNA complex and mechanisms of hydrolysis
(editing reaction) in leucyl-tRNA synthetase complexed with
the mis-aminoacylated tRNALeu. The authors investigate the
influence of environmental effects on the electronic
structure.Electron transfer in proteins constitutes key
steps in several biological processes, ranging from
photosynthesis to aerobic respiration. T. Hayashi and A.
Stuchebrukhov investigate electron tunneling in
NADH : ubiquinone oxidoreductase (Complex I), a key
enzyme in cellular respiration as an entry point of the
electron transport chain of mitochondria and bacteria, by
evaluating the transition flux between donor and acceptor at
atomistic resolution. The study suggests that the diffusion
of internal water molecules dynamically controls tunneling
efficiency.},
cin = {GRS / IAS-5},
ddc = {610},
cid = {I:(DE-Juel1)GRS-20100316 / I:(DE-Juel1)IAS-5-20120330},
pnm = {899 - ohne Topic (POF2-899)},
pid = {G:(DE-HGF)POF2-899},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000304938400001},
doi = {10.1155/2012/709085},
url = {https://juser.fz-juelich.de/record/201302},
}