1998
DOI: 10.1021/ci980130f
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Modeling Antileukemic Activity of Carboquinones with Electrotopological State and Chi Indices

Abstract: The antileukemic activity (medium effective dose, MED) of a set of 37 carboquinones was modeled using a combination of the electrotopological state (E-state) and molecular connectivity indices with multiple linear regression. A four-variable model gave good statistics: r2 = 0.90, s = 0.21. Using the leave-one-out method, the cross-validation statistics indicate a model useful for prediction: r2press = 0.85, spress = 0.26. The same variables were used to model the optimum effective dose (OD): r2 = 0.88, s = 0.1… Show more

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Cited by 38 publications
(38 citation statements)
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“…Simply put, the ES of at atom is context‐specific intrinsic state computed from the number of sigma, pi, and lone pair electrons, the number of bonded hydrogens, with the context specificity being derived from the number and arrangement of other atoms in a molecule. E‐state descriptors has been successfully used in many QSAR studies 18–23…”
Section: Methodsmentioning
confidence: 99%
“…Simply put, the ES of at atom is context‐specific intrinsic state computed from the number of sigma, pi, and lone pair electrons, the number of bonded hydrogens, with the context specificity being derived from the number and arrangement of other atoms in a molecule. E‐state descriptors has been successfully used in many QSAR studies 18–23…”
Section: Methodsmentioning
confidence: 99%
“…Among the most important topological descriptors describing the molecular characteristics, it is particularly noteworthy the connective index or Randíc index (v), defined as the sum of weighted edges in a molecular graph. [5][6][7][8][9] The shape profile index (j) is determined principally by the shape of the molecule rather than its connectivity features. Most topological indices would fail to detect the apparent similarity between two compounds because most of the indices are derived from molecular connectivity or, in the case of 3D, forms from the molecular spatial bonding model.…”
Section: Introductionmentioning
confidence: 99%
“…In the same way as atom-type E-state values [70], for all data sets (including those with a common skeletal core as well as those with very diverse structures), these novel local MDs provide much useful information. Therefore, this approach provides the basis for application to a wider range of problems to which the atomic bilinear indices formalism is applicable without the need for superposition [71,72]. Moreover, the present method represents a significant advantage over traditional QSAR methods.…”
Section: Non-stochastic and Stochastic Atom-based Bilinear Indices: Lmentioning
confidence: 97%
“…This atom type index lends itself to be use in a group additive-type scheme in which an index appears for each atom type in the molecule. In the atom-type bilinear indices formalism, each atom in the molecule is classified into an atom type (fragment), such as -F, -OH, O, -CH 3 , and so on [70][71][72]. Therefore, each atom in the molecule is categorized according to a valence-state classification scheme including the number of attached Hatoms [70].…”
Section: Non-stochastic and Stochastic Atom-based Bilinear Indices: Lmentioning
confidence: 99%