Modeling biophysical and biological properties from the characteristics of the molecular electron density, electron localization and delocalization matrices, and the electrostatic potential
Journal of Computational Chemistry, ISSN: 1096-987X, Vol: 35, Issue: 16, Page: 1165-1198
2014
- 146Citations
- 104Captures
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Metrics Details
- Citations146
- Citation Indexes144
- CrossRef144
- 138
- Patent Family Citations2
- Patent Families2
- Captures104
- Readers104
- 104
Article Description
The electron density and the electrostatic potential are fundamentally related to the molecular hamiltonian, and hence are the ultimate source of all properties in the ground- and excited-states. The advantages of using molecular descriptors derived from these fundamental scalar fields, both accessible from theory and from experiment, in the formulation of quantitative structure-to-activity and structure-to-property relationships, collectively abbreviated as QSAR, are discussed. A few such descriptors encode for a wide variety of properties including, for example, electronic transition energies, pK's, rates of ester hydrolysis, NMR chemical shifts, DNA dimers binding energies, π-stacking energies, toxicological indices, cytotoxicities, hepatotoxicities, carcinogenicities, partial molar volumes, partition coefficients (log P), hydrogen bond donor capacities, enzyme-substrate complementarities, bioisosterism, and regularities in the genetic code. Electronic fingerprinting from the topological analysis of the electron density is shown to be comparable and possibly superior to Hammett constants and can be used in conjunction with traditional bulk and liposolubility descriptors to accurately predict biological activities. A new class of descriptors obtained from the quantum theory of atoms in molecules' (QTAIM) localization and delocalization indices and bond properties, cast in matrix format, is shown to quantify transferability and molecular similarity meaningfully. Properties such as "interacting quantum atoms (IQA)" energies which are expressible into an interaction matrix of two body terms (and diagonal one body "self" terms, as IQA energies) can be used in the same manner. The proposed QSAR-type studies based on similarity distances derived from such matrix representatives of molecular structure necessitate extensive investigation before their utility is unequivocally established. © 2014 The Author and the Journal of Computational Chemistry Published by Wiley Periodicals, Inc. The electron density and the electrostatic potential are fundamentally related to the quantum ground state, and hence are the ultimate source of all properties in the ground and excited states. A few descriptors extracted from these fields encode for a staggering variety of observed empirical molecular properties, including electronic transition energies. A new class of descriptors obtained from the quantum theory of atoms in molecules localization and delocalization indices, cast in matrix format, is shown to quantify molecular similarity in structure-to-property relationship-type studies. Copyright © 2014 The Authors Journal of Computational Chemistry Published by Wiley Periodicals, Inc.
Bibliographic Details
Wiley
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