000201302 001__ 201302 000201302 005__ 20240625095113.0 000201302 0247_ $$2doi$$a10.1155/2012/709085 000201302 0247_ $$2ISSN$$a1110-7243 000201302 0247_ $$2ISSN$$a1110-7251 000201302 0247_ $$2Handle$$a2128/8783 000201302 0247_ $$2WOS$$aWOS:000304938400001 000201302 037__ $$aFZJ-2015-03607 000201302 041__ $$aEnglish 000201302 082__ $$a610 000201302 1001_ $$0P:(DE-HGF)0$$aGiorgetti, Alejandro$$b0 000201302 245__ $$aAdvanced Computational Methods in Molecular Medicine 000201302 260__ $$aCuyahoga Falls, Ohio$$c2012 000201302 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1434006793_12151 000201302 3367_ $$2DataCite$$aOutput Types/Journal article 000201302 3367_ $$00$$2EndNote$$aJournal Article 000201302 3367_ $$2BibTeX$$aARTICLE 000201302 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000201302 3367_ $$2DRIVER$$aarticle 000201302 520__ $$aThe 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. 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