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"The molecular descriptor is the final result of a logic and mathematical procedure which transforms chemical information encoded within a symbolic representation of a molecule into a useful number or the result of some standardized experiment." (Handbook of Molecular Descriptors, R.Todeschini and V.Consonni, Wiley-VCH, 2000).
Molecular descriptors play a fundamental role in chemistry, pharmaceutical sciences, environmental protection policy, health research and quality control, they being obtained when molecules are transformed into a molecular representation allowing some mathematical treatment. Many molecular descriptors have been proposed derived from different theories and approaches with the aim of predicting biological and physico-chemical properties of molecules [R.Todeschini and V.Consonni, Handbook of Molecular Descriptors, Wiley-VCH, Weinheim (GER), 2000].
The information content of a molecular descriptor depends on the kind of molecular representation that is used and on the defined algorithm for its calculation. There are simple molecular descriptors derived by counting some atom-types or structural fragments in the molecule, other derived from algorithms applied to a topological representation (molecular graph) and usually called topological or 2D-descriptors, and there are molecular descriptors derived from a geometrical representation that are called geometrical or 3D-descriptors.
All the molecular descriptors must contain, to varying extents, chemical information, must satisfy some basic invariance properties and general requirements, and must be derived from well-established procedures which enable molecular descriptors to be calculated for any set of molecules. It is obvious – almost trivial - that a single descriptor or a small number of descriptors cannot wholly represent the molecular complexity or model all the physico-chemical responses and biological interactions. As a consequence, although we must get used to living with approximate models (nothing is perfect!), we have to keep in mind that "approximate" is not a synonym of "useless".
The field of molecular descriptors is strongly interdisciplinary and involves a variety of different theories. For the definition of molecular descriptors, a knowledge of algebra, graph theory, information theory, computational chemistry, theories of organic reactivity and physical chemistry is usually required, although at different levels. For the use of the molecular descriptors, a knowledge of statistics, chemometrics, and the principles of the QSAR/QSPR approaches is necessary in addition to the specific knowledge of the problem.
The 29 logical molecular descriptors blocks (and their sub-blocks) calculated by Dragon are:
| 1. | Constitutional descriptors |
| 3.1. | Vertex degree-based indices |
| 3.2. | Distance-based indices |
| 4.2. | Self-returning walk counts |
| 5.1. | Kier-Hall molecular connectivity indices |
| 5.2. | Solvation connectivity indices |
| 5.3. | Randic-like connectivity indices |
| 6.2. | Indices of neighborhood symmetry |
| 7. | 2D matrix-based descriptors |
| 7.2. | Topological distance matrix |
| 7.5. | Reciprocal squared distance matrix |
| 7.7. | Distance/detour matrix |
| 8.1. | Broto-Moreau autocorrelations |
| 8.2. | Centred Broto-Moreau autocorrelations |
| 8.3. | Moran autocorrelations |
| 8.4. | Geary autocorrelations |
| 8.5. | Topological charge autocorrelations |
| 10. | P_VSA-like descriptors |
| 10.4. | Van der Waals volume |
| 10.5. | Sanderson electronegativity |
| 10.7. | Ionization Potential |
| 12. | Edge adjacency indices |
| 12.2. | Connectivity-like indices |
| 13. | Geometrical descriptors |
| 13.3. | Delocalization-degree indices |
| 14. | 3D matrix-based descriptors |
| 14.1. | Geometrical distance matrix |
| 14.2. | Reciprocal squared geometrical distance matrix |
| 14.3. | Distance/distance matrix |
| 15.1. | TDB autocorrelations |
| 16.3. | Weighted by van der Waals volume |
| 16.4. | Weighted by Sanderson electronegativity |
| 16.5. | Weighted by polarizability |
| 16.6. | Weighted by ionization potential |
| 17.3. | Weighted by van der Waals volume |
| 17.4. | Weighted by Sanderson electronegativity |
| 17.5. | Weighted by polarizability |
| 17.6. | Weighted by ionization potential |
| 18.1. | Directional descriptors |
| 20. | Randic molecular profiles |
| 21. | Functional group counts |
| 22. | Atom-centred fragments |
| 23. | Atom-type E-state indices |
| 25.1. | Weighted topological atom pairs |
| 25.3. | Frequency Atom Pairs |
| 26.1. | Weighted geometrical atom pairs |
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