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MacroModel Reference Manual - ISP

MacroModel Reference Manual - ISP

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Chapter 5: MINTADirect evaluation of the configuration integral has been considered to be impossible to solveexcept for problems of very low dimensionality. Instead, indirect methods utilizing varioussimulation techniques based on free-energy perturbation (FEP) have found widespread utility.These methods belong to the realm of molecular dynamics and Monte Carlo simulations usingexplicit solvent models. In Appendix G a brief introduction is provided to this area to putMINTA in perspective in the world of free-energy simulations.The basic tenet of the MINTA methodology is a novel Monte Carlo integration techniquetermed mode integration (this is where the name MINTA comes from). The MINTA softwareallows, for the first time, the direct calculation of the configuration integral of single moleculesand molecular complexes of real chemical interest, without the need for expensive free-energysimulations and the use of “computational alchemy.”In the current context, ∆G represents the MINTA Free Energy, which only includes theenthalpy (MM energy) and configurational entropy due to different conformations and theshape of individual conformational energy wells in a normal mode coordinate system, ignoringtranslation and rotation. Typically, in our examples, the estimated ∆G’s correspond to the standardstate free-energy, ∆G 0 , within the MINTA approximations.5.3 MINTA MethodologyThe patented MINTA methodology addresses the sampling problem for calculating free energiesat two different levels. First, a global conformational search is carried out to identify thelow-energy regions of the potential energy surface (PES), which correspond to the low-energyconformations of a single molecule or the low-energy binding conformations of a molecularcomplex. Local sampling of each individual conformational energy well is then accomplishedutilizing the mode integration technique embodied in the MINTA software. MINTA can,perhaps, be best described in contrast to the well-known quasi-harmonic approximation. Bothmethods recognize that the local thermodynamics of each energy well i can be described by aBoltzmann distribution function, which is—in the harmonic approximation—a normalizedmultivariate Gaussian distribution function:where r i and H i denote, respectively, the bottom of a particular energy well and the associatedlocal Hessian matrix. The Hessian is evaluated at the bottom of the well. The number ofdegrees of freedom n is equal to the number of unconstrained internal coordinates, whichinclude the six relative translation-rotational degrees of freedom defining the relative orientationof the host and the guest in a molecular complex. R is the gas constant and T is the temperpi=det H i 1---------------------( 2πRT) n exp ⎛– ---------- ( r – r2RT i )Hr ( – r i ) ⎞⎝⎠(3)168<strong>MacroModel</strong> 9.7 <strong>Reference</strong> <strong>Manual</strong>

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