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computer modeling in molecular biology.pdf

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98 Shoshana 1 Wodak, Daniel van Belle, and Mart<strong>in</strong>e Prkvost4.4 Conclud<strong>in</strong>g RemarksThis chapter described the application of <strong>molecular</strong> dynamics simulation techniquesto the study of the dynamic and thermodynamic properties of wild type barnase andof one of its stability mutants.Methodological and practical aspects <strong>in</strong>volved <strong>in</strong> generat<strong>in</strong>g a 250 ps trajectoryof wild type barnase <strong>in</strong> water, were described. This trajectory was then analyzedfocus<strong>in</strong>g on aspects of prote<strong>in</strong> motion and prote<strong>in</strong>-solvent <strong>in</strong>teractions. The analysissuggests that the simulated system of 8777 atoms displayed a physically reasonablebehavior, a tribute to the progress achieved <strong>in</strong> improv<strong>in</strong>g the force-fields and simulationmethodology. Prote<strong>in</strong> conformations deviated relatively little from the start<strong>in</strong>gcrystal structure, dur<strong>in</strong>g the simulations; the structure of the first water layer at theprote<strong>in</strong> surface, followed patterns previously observed for dilute solutions of smallmolecules; the simulations revealed a reduced mobility of the water molecules at theprote<strong>in</strong> surface, <strong>in</strong> agreement with experimental evidence from NMR spectroscopy,and with other simulation studies.It is however clear that the time scale of the simulations (250 ps) is still much tooshort to allow the system to sample the conformational states accessible to it underexperimental conditions, and/or that are biologically relevant. It may thus not alwaysbe possible to relate the detailed picture provided by simulations of this length to experimentaldata, a problem which also hampers its validation. This situation is improv<strong>in</strong>ghowever, as computational tools, that allow a more efficient sampl<strong>in</strong>g ofconformational space are developed, and as the available <strong>computer</strong> power <strong>in</strong>creases.The second part of this chapter, illustrated the application of <strong>molecular</strong> dynamicssimulations to the calculation of the free energy change produced by substitut<strong>in</strong>g Ile96 by Ala <strong>in</strong> the hydrophobic core of barnase. Despite the well known sampl<strong>in</strong>g problemsdiscussed above, free energy perturbation methods rely<strong>in</strong>g on <strong>molecular</strong>dynamics trajectories of 315 ps, are shown to yield computed free energy differenceswhich are <strong>in</strong> satisfactory agreement with the changes <strong>in</strong> the denaturation freeenergies, and <strong>in</strong> solvation free energies measured experimentally. It is important torealize however, that the error associated with the computed free energy values is ofthe same order as the values themselves, and hence that the reliability of the resultsdepends critically on the underly<strong>in</strong>g assumptions. With due vigilance however, thedescribed free energy computation analysis is seen to provide useful <strong>in</strong>sights <strong>in</strong>to theorig<strong>in</strong>s of the hydrophobic stabilization of prote<strong>in</strong>s.

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