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Making Use of Experimental Data

Molecular mechanics is an empirical method based on simple elements of theory that every user can and should understand. With modem software the user is able to control the calculations in terms of the energy minimization routine, the potential energy functions and the force field parameters used. A significant advantage of molecular mechanics calculations is that they are relatively rapid and therefore that large series of calculations may be performed. [Pg.53]

If molecular mechanics is to be a valid modeling tool for the design of new compound and the interpretation of experimental results, the compounds under consideration must belong to a class for which the molecular mechanics model is well defined. In other words, the accuracy of the results obtained depends critically on the parameterization of the force field and how this has been obtained (Fig. 5.1). [Pg.53]

As with any empirical model, there alway exists the possibility of improvement. However, improvements should preferably not increase die complexity of the model since the main appeal of molecular mechanics is its simplicity. Instead, improvements should concentrate on the functional forms and the parameterization, and therefore on the choice of experimental data used in approximating energy surfaces. [Pg.54]

2 Quantum Chemistry Program Exchange (QCPE), Bloomington, In., USA. [Pg.55]

8 Comba, P Hambley, T. W. Okon, N. MOMEC, A Strain Energy Minimization Package Adapted to HyperChem , Altenhoff Schmitz, Dortmund Germany (1995). [Pg.55]

Two fundamental types of information are obtained from any molecular mechanics study, namely the minimum value of the strain energy, and the structure associated with that minimum. Agreement between the energy-minimized and experimental (crystallographic) structures has often been used as the primary check on the validity of the force field and to refine the force field further, but often little predictive use has been made of the structures obtained. As force fields have become more reliable, the potential value of structure predictions increases. More importantly, when no unequivocal determination of a structure is available by experimental methods, then structure prediction may be the only means of obtaining a three-dimensional (3-D) model of the molecule. This is often the case, for instance, in metal-macromolecule adducts, and structures obtained by molecular mechanics can be a genuine aid in the visualization of these interactions. In this chapter we consider the ways in which structure prediction by, or aided by, molecular mechanics calculations is used, and also point to current trends and developments. [Pg.79]


We now consider the PPP, CNDO, INDO, and MINDO two-electron semiempirical methods. These are all SCF methods which iteratively solve the Hartree-Fock-Roothaan equations (1.296) and (1.298) until self-consistent MOs are obtained. However, instead of the true Hartree-Fock operator (1.291), they use a Hartree-Fock operator in which the sum in (1.291) goes over only the valence MOs. Thus, besides the terms in (1.292), f/corc(l) m these methods also includes the potential energy of interaction of valence electron 1 with the field of the inner-shell electrons rather than attempting a direct calculation of this interaction, the integrals of //corc(/) are given by various semiempirical schemes that make use of experimental data furthermore, many of the electron repulsion integrals are neglected, so as to simplify the calculation. [Pg.42]

Many empirical formulas have been proposed to render the effect of internal phase ratio on the emulsion viscosity, but they are only valid in specific cases. Pal and Rhodes (84, 85) proposed and used a semi-empirical equation, that makes use of experimental data O qq as the internal phase fraction O at which the relative viscosity qj. = 100. This experimental value must be attained in the same formulation and emulsification conditions, particularly stirring characteristics, which is maybe why it significantly embodies the overall effects of all remaining variables ... [Pg.464]

An alternative strategy was to develop methods wherein the two-electron integrals are parameterized to reproduce experimental heats of formation. As such, these are semi-empirical molecular orbital methods—they make use of experimental data. Beginning first with modified INDO (MINDO/1, MlNDO/2, and MINDO/3, early methods that are now little used), the methodological development moved on to modified neglect of diatomic differential overlap (MNDO). A second MNDO parameterization was created by Dewar and termed Austin method 1 (AMI), and finally, an "optimized" parametrization termed PM3 (for MNDO, parametric method 3) was formulated. These methods include very efficient and fairly accurate geometry optimization. The results they produce are in many respects comparable to low-level ab initio calculations (such as HF and STO-3G), but the calculations are much less expensive. [Pg.834]

Sections 3.1 and 3.2 considered this problem Given a complex kinetic scheme, write the differential rate equations find the integrated rate equations or the concentration-time dependence of reactants, intermediates, and products and obtain estimates of the rate constants from experimental data. Little was said, however, about how the kinetic scheme is to be selected. This subject might be dismissed by stating that one makes use of experimental observations combined with chemical intuition to postulate a reasonable kinetic scheme but this is not veiy helpful, so some amplification is provided here. [Pg.115]

In a hit triage decision making process that blends the use of experimental data with expected general property trends and principles, there are situations where it is not feasible to obtain sufficient data to identify experimentally property trends for ADME or safety endpoints (either due to a small number of hit compounds in a series, or due to limited experimental capacity). Computational models for these parameters may provide some useful information when integrated with other known information [101],... [Pg.169]

Currently available solubility models based on turbidimetry as well as nephelometry are not very predictive and are limited in their broad applicability, because they make use of training data from different laboratories determined under varying experimental conditions [130]. However, the access to many aqueous solubilities measured under standardized conditions is expected to greatly improve currently available models. [Pg.347]

Should calculations from first principles (ab initio) necessarily be preferred to those which make some use of experimental data (semiempirical) ... [Pg.7]

The elaborate statistical theory of phase transformations of chemical reaction (1) makes possible the explanation and substantiation of formation of phases of fulleride hydrides and then of fullerite with increase in temperature. The calculation of phases free energies has been performed using the rough simplified assumptions. The dependence of free energies of phases on their composition, temperature, order parameter in fullerenes subsystem, energetic constants has been found. The evaluation of energetic constants has been carried out with the use of experimental data for concentration and temperature ranges of each phase realization. [Pg.18]

As the entirely theoretical calculation of reaction energies is not feasible, an empirical method was developed, making use of thermochemical data. In principle, the reaction enthalpy could be obtained as the difference in the heats of formation of starting materials and products. But only for a small fraction of organic compounds have the heats of formation been determined. Such an approach is possible only in special cases. Rather, experimental data were taken and analyzed on the basis of additivity schemes for the estimation of heats of formation, to obtain parameters which are applicable to whole classes of compounds. [Pg.107]

In fact, it is probably fair to say that very few problems involving real momentum, heat, and mass flow can be solved by mathematical analysis alone. The solution to many practical problems is achieved using a combination of theoretical analysis and experimental data. Thus engineers working on chemical and biochemical engineering problems should be familiar with the experimental approach to these problems. They have to interpret and make use of the data obtained from others and have to be able to plan and execute the strictly necessary experiments in their ovm laboratories. In this chapter, we show some techniques and ideas which are important in the planning and execution of chemical and biochemical experimental research. The basic considerations of dimensional analysis and similitude theory are also used in order to help the engineer to understand and correlate the data that have been obtained by other researchers. [Pg.461]

Standard State and Reference State Equation 53 contains two quantities which require precise definition in order to make use of thermodynamic data or render experimental observation into the framework of the equation. We need to specify the condition of a mixture for which 7, 1. This is the... [Pg.36]

Ab initio calculations make no use of experimental data, except perhaps the parameters which determine the molecular geometry. All electrons... [Pg.93]

A number of methods have been used for the experimental measurement of pKg values and closely associated quantities, such as pH. It is not the intent of this overview to describe in detail the theoretical and practical aspects of these methods, which have been satisfactorily described elsewhere [42-47]. Rather, the focus of the present work is to apply an imderstanding of these experimental methods to assessment of the quality of the resulting data. Research workers who make use of the data in this compilation can then have confidence that the values which they cite are as meaningful as possible. [Pg.22]

For the evaluation of Gcav several formulas are available, based on the shape and size of the solute and on different parameters of the solvent surface tension, isothermal compressibility, and geometrical data of the molecules. The first three formulas here mentioned are of empirical nar ture and follow almost the same philosophy of the continuum dielectric, neglecting the discrete nature of the solvent molecules but making use of experimental bulk parameters. The last formulation, on the contrary, derives from a theory based on a discrete model of fluids (the Scaled Particle Theory, SPT), even if the final expression of Gcav depends again on bulk solvent parameters only. [Pg.6]

The last section is a discussion of the use of experimental data to arrive at risk assessment as recommended by states such as California, Canadian governmental regulatory agencies, and industry. These parties share a common goal, namely to make the workplace safe for agricultural workers who are exposed to pesticides through normal work activities. [Pg.1]

Absolute shielding data for the quadrupolar halogen nuclei are not yet available. Spin rotation interaction constants have however been determined for GIF [153 154 155], HCl [156], CICN [157], HBr [158] and HI [159]. In order to make use of these data to establish an "absolute" shielding scale for the magnetic chlorine, bromine and iodine isotopes it would be necessary to determine the halogen chemical shift of the gaseous compounds relative to a common reference such as an aqueous sodium halide solution. The experimental problems in such measurements are however by no means trivial. [Pg.63]

Mass transfer involving tower packings, which we have considered in the previous section, is our first introduction to systems with complex and highly irregular geometries. The approach we had to take there was to make direct use of experimental data or else convert them by means of some simple empirical rates for use in similarly structured systems. [Pg.177]

One cautionary comment worth making here concerns the use of experimental data in schemes with isodesmic reactions. The success of such schemes obviously depends on the reliability of the experimental data, certainly requiring chemical accuracy in the experimental data. For FO, HOF, and F2O, this appears to be the case. As mentioned above, this is probably not true for all F-O containing species. Some theoretical studies (Feller and Dixon 2003 Karton et al. 2009) have found a disagreement between high-quality calculated data and experimental data for FOO and F2O2 and recommend revision and/or a new determination of experimental data for these species. [Pg.478]


See other pages where Making Use of Experimental Data is mentioned: [Pg.150]    [Pg.1104]    [Pg.52]    [Pg.75]    [Pg.75]    [Pg.83]    [Pg.150]    [Pg.73]    [Pg.73]    [Pg.192]    [Pg.1137]    [Pg.1448]    [Pg.83]    [Pg.202]    [Pg.70]    [Pg.150]    [Pg.1104]    [Pg.52]    [Pg.75]    [Pg.75]    [Pg.83]    [Pg.150]    [Pg.73]    [Pg.73]    [Pg.192]    [Pg.1137]    [Pg.1448]    [Pg.83]    [Pg.202]    [Pg.70]    [Pg.397]    [Pg.612]    [Pg.7]    [Pg.1215]    [Pg.1214]    [Pg.94]    [Pg.80]    [Pg.83]    [Pg.11]    [Pg.367]    [Pg.155]   


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Data used

Experimental use

Use, data

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