Matta, Boyd. The quantum theory of atoms in molecules
.pdf19.4 Conclusion 513
niobium atom has, as one might expect in an extended Lewis model, four large and two smaller concentrations. The local maxima in the Laplacian form a distorted trigonal prism whose four-sided faces are perpendicular to the plane shown in Fig. 19.9 (c and d) [18].
The cyclopentadienide ligand occupies such a large fraction of the ligand sphere that, again, there is a forced misdirected valence. To demonstrate that the ‘‘rocking’’ of the carbene is not caused by a M HaC attraction, we depict the remarkable invariance of both the i-VSCC of niobium and all the charge concentrations of the carbene, for pivotal 5 deviations about the equilibrium geometry. There is no notable distortion of the niobium i-VSCC, nor ‘‘agostic’’ CaH bondcharge concentration until the carbene has been rocked much further along this constrained reaction coordinate [23].
Allowing for such misdirected valence in pharmacophore definition would not be a simple matter. For example, steric factors within the ligand sphere of the metal atom would have to somehow mesh with its optimum coordination directions. The most important modification would be to shift the focal point of ligand attraction from its assumed position at the metal’s nucleus, to inner valence shell topological features.
19.4 Conclusion
Rapid screening in the vast virtual space of chemical compounds and all their conformations requires extremely high selectivity to be of any practical use. For quality results the selection tools must also be accurate. There can be no doubt about the fineness and utility of the set of tools for characterizing the structural and atomic properties of matter that have been developed over the decades by the ‘‘Bader school’’. These tools have a rigorous theoretical foundation and are backed by experimental results. Richard Bader has seen the future and, in it, computational chemists ‘‘synthesize’’ arbitrarily large and complex molecules like nature does it, cutting and splicing together the most convenient fragments, not ‘‘from the beginning’’ every time [24].
Matta has demonstrated the feasibility of this approach for known drug molecules [25]. Breneman et al. [26] have developed the transferable atom equivalent (TAE) method that can rapidly predict key properties of large molecules from a finite set of atomic descriptors that have been obtained from QTAIM analysis of smaller molecules. Indicating its potential utility in drug design, this method has had some success in modeling van der Waals interactions [27]. Breneman’s TAE approach is reviewed in Chapter 18 of this book.
Until Bader’s vision is achieved, drug screening tools can be incrementally improved in a manner that is consistent with the proven success of the Bader school’s philosophy – seek advances based on rigorous theory and back them up with experiment. We have demonstrated ways in which modern computer graphics techniques can be used to extract physical and insightful information about pharmacophore features. We have also suggested practical ways in which
520 |
Index |
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fullerenes |
319, 409 |
– energy |
123 |
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Fulton bound index 391 |
– virial |
29–30 |
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– wave functions |
127 |
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g |
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Hattig’s recurrence formulae |
129 |
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GAMESS |
27, 29, 128 |
HB |
see hydrogen bond |
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gauche e ect |
383 |
HCCH HF complex |
456 |
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Gauss’s theorem 18 |
HCN |
445 |
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Gaussian |
27, 29, 30, 106, 114 ., 332 |
HCH O intermolecular interactions 170 |
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Gaussian 03 |
129 |
HDN |
see hydrodenitrogenation |
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Gaussian 94 |
295 |
HDS |
see hydrodesulfurization |
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genetic code |
22–24, 26 |
heats of formation 50 |
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GFMLX |
336 |
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heavy main-group element |
352 |
GIAO |
413 |
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hedrane |
114, 116 |
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globbic structure factors |
289 |
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Heisenberg |
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glycine |
124 |
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– equation of motion |
37 |
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goodness of fit |
334 |
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– representation of quantum mechanics |
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gradient kinetic energy |
17 |
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51 |
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gradient path 242, 428, 474 |
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Hellman–Feyman |
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gradient vector |
6 |
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– electrostatic force |
19, 65, 83 |
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– field |
6, 142, 259, 323 |
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– electrostatic theorem |
83, 85, 87, 88 |
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– field lines |
211 |
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Hermitian operator, linear |
46 |
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– instability |
210 |
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Hermiticity |
47 |
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gradient-corrected correlation energy |
275 |
Hessian matrix |
3, 231, 427 |
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gradient-corrected energy density |
272 |
hexaprismane |
117 |
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gradient-corrected exchange density |
274 |
1,3,5-hexatriene |
129, 134 |
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graphite |
208, 219 |
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HF dimer |
129, 130 |
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GRDVEC 28, 29 |
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H F hydrogen-bonding interactions |
437 |
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Green’s function |
192, 263, 271 |
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H H bonding |
8, 9, 11 |
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GRIDV |
28, 29 |
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H H electrostatic interaction |
445 |
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group additivity schemes |
82 |
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hierarchical merging/clustering algorithm |
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group contribution |
22, 50 |
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292, 301 |
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– to the polarizability tensors |
77 |
higher-order polarizability |
104 |
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guanine |
415, 416 |
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high-pressure phosphorous boride 215 |
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guanine–cytosine base pair |
415 |
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high-resolution |
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guest atoms |
188 |
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– electrostatic potentials |
306, 308, 309 |
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guest–host binding energy |
189 |
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– protein model 287 |
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guest–host systems |
165 . |
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Hirshfeld |
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– binding energy 189 |
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– multipole model |
262 |
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– test |
318, 335 |
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h |
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H N hydrogen-bonding interactions |
441 |
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H2NaCaHa(R)aCOOH |
21–23, 295 |
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(H2O)2 |
131, 132, 430 |
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H3N HF 439 |
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H O hydrogen bonds |
436 |
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H2O dimer |
129 |
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H O interactions 437 |
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Hamiltonian approach to quantum mechanics |
Hohenberg–Kohn |
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|
38 |
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– formulation of DFT |
261 |
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Hammett substituent constants 412 |
– theorem |
XX, 474, 475 |
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Hansen–Coppens XXII |
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HOMA see harmonic oscillator model of |
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– multipole model |
261, 262, 318 |
aromaticity |
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hAR see human aldose reductase |
homodesmotic reaction 400 |
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harmonic approximation |
78 |
homogeneous electron gas |
263 |
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harmonic oscillator model of aromaticity |
homoleptic M2(CO)n dimers |
352 |
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(HOMA) 394, 400, 404, 406 ., 410, |
host–guest |
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412 ., 420 |
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– chemistry |
186 |
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Hartree–Fock |
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– systems |
186 . |
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