Literature DB >> 2235877

An electrotopological-state index for atoms in molecules.

L B Kier1, L H Hall.   

Abstract

A new method for molecular structure description is presented in which both electronic and topological characteristics are combined. The method makes use of the hydrogen-suppressed graph to represent the structure. The focus of the method is on the individual atoms and hydride groups of the molecular skeleton. An intrinsic atom value is assigned to each atom as I = (delta v + 1)/delta, in which delta v and delta are the counts of valence and sigma electrons of atoms associated with the molecular skeleton. The electrotopological-state value, Si, for skeletal atom i is defined as Si = Ii + delta Ii, for second row atoms, where the influence of atom j on atom i, delta Ii, is given as sigma(Ii-Ij)/rij2; rij is the graph separation between atom i and atom j, counted as the number of atoms. The characteristics of the electrotopological state values are indicated by examples of various types of organic structures, including chain lengthening, branching, heteroatoms, and unsaturation. The relation of the E-state value to NMR chemical shift is investigated for a series of alkyl ethers. The E-state oxygen value gives an excellent correlation with the 17O NMR: r = 0.993 for 10 ethers. A biological application of the E-state values in QSAR analysis is given for the binding of barbiturates to beta-cyclodextrin.

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Year:  1990        PMID: 2235877     DOI: 10.1023/a:1015952613760

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  3 in total

1.  Atomic physicochemical parameters for three-dimensional-structure-directed quantitative structure-activity relationships. 2. Modeling dispersive and hydrophobic interactions.

Authors:  A K Ghose; G M Crippen
Journal:  J Chem Inf Comput Sci       Date:  1987-02

2.  Derivation and significance of valence molecular connectivity.

Authors:  L B Kier; L H Hall
Journal:  J Pharm Sci       Date:  1981-06       Impact factor: 3.534

3.  Quantitative structure-stability relationships among inclusion complexes of cyclodextrins. I: Barbituric acid derivatives.

Authors:  A Lopata; F Darvas; A Stadler-Szóke; J Szejtli
Journal:  J Pharm Sci       Date:  1985-02       Impact factor: 3.534

  3 in total
  38 in total

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Authors:  M J Duart; R García-Domenech; G M Antón-Fos; J Gálvez
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2.  Indices of differences of path lengths: novel topological descriptors derived from electronic interferences in graphs.

Authors:  J Gálvez; R Garcia-Domenech; C de Gregorio-Alapont
Journal:  J Comput Aided Mol Des       Date:  2000-10       Impact factor: 3.686

3.  Semi-empirical topological index: a tool for QSPR/QSAR studies.

Authors:  Berenice da Silva Junkes; Anna Celia Silva Arruda; Rosendo Augusto Yunes; Ledilege Cucco Porto; Vilma Edite Fonseca Heinzen
Journal:  J Mol Model       Date:  2005-02-19       Impact factor: 1.810

4.  Surrogate data--a secure way to share corporate data.

Authors:  Igor V Tetko; Ruben Abagyan; Tudor I Oprea
Journal:  J Comput Aided Mol Des       Date:  2005-11-03       Impact factor: 3.686

5.  Quantitative structure-activity relationship study on some benzodiazepine derivatives as anti-Alzheimer agents.

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Journal:  J Mol Model       Date:  2004-09-17       Impact factor: 1.810

6.  Prediction of glass transition temperatures of OLED materials using topological indices.

Authors:  Jie Xu; Biao Chen
Journal:  J Mol Model       Date:  2005-08-16       Impact factor: 1.810

7.  Differentiation of AmpC beta-lactamase binders vs. decoys using classification kNN QSAR modeling and application of the QSAR classifier to virtual screening.

Authors:  Jui-Hua Hsieh; Xiang S Wang; Denise Teotico; Alexander Golbraikh; Alexander Tropsha
Journal:  J Comput Aided Mol Des       Date:  2008-03-13       Impact factor: 3.686

8.  Molecular electronegativity distance vector model for the prediction of bioconcentration factors in fish.

Authors:  Shu-Shen Liu; Li-Tang Qin; Hai-Ling Liu; Da-Qiang Yin
Journal:  J Mol Model       Date:  2007-12-13       Impact factor: 1.810

9.  QSPR model for bioconcentration factors of nonpolar organic compounds using molecular electronegativity distance vector descriptors.

Authors:  Li-Tang Qin; Shu-Shen Liu; Hai-Ling Liu
Journal:  Mol Divers       Date:  2009-04-15       Impact factor: 2.943

10.  Pharmacophore search for anti-fertility and estrogenic potencies of estrogen analogs.

Authors:  Sk Mahasin Alam; Ria Pal; Shuchi Nagar; Md Ataul Islam; Achintya Saha
Journal:  J Mol Model       Date:  2008-07-29       Impact factor: 1.810

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