Literature DB >> 18172703

Topological research on diamagnetic susceptibilities of organic compounds.

Lailong Mu1, Changjun Feng, Hongmei He.   

Abstract

A novel molecular connectivity index, (m)chi('), based on the adjacency matrix of molecular graphs and novel atomic valence connectivities, delta(i)(') for predicting the molar diamagnetic susceptibilities of organic compounds is proposed. The delta(i)(') is defined as: delta(i)(') = delta(i)(nu) x Ei=12:625, where delta(i)(nu) and E(i) are the atomic valence connectivity and the valence orbital energy of atom i, respectively. A good QSPR model for molar diamagnetic susceptibilities can be constructed from (0)chi('), (1)chi('), (2)chi(') and (4)chi(p)(') using multivariate linear regression (MLR). The correlation coefficient r, standard error, and average absolute deviation of the MLR model are 0.9918, 5.56 cgs, and 4.26 cgs, respectively, for the 721 organic compounds tested (training set). Cross-validation using the leave-one-out method demonstrates that the MLR model is highly reliable statistically. Using the MLR model, the average absolute deviations of the predicted values of molar diamagnetic susceptibility of another 360 organic compounds (test set) is 4.34 cgs. The results show that the current method is more effective than literature methods for estimating the molar diamagnetic susceptibility of an organic compound. The MLR method thus provides an acceptable model for the prediction of molar diamagnetic susceptibilities of organic compounds.

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Year:  2008        PMID: 18172703     DOI: 10.1007/s00894-007-0256-x

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  11 in total

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3.  Modeling chromatographic parameters by a novel graph theoretical sub-structural approach.

Authors:  E Estrada; Y Gutierrez
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4.  TOPS-MODE based QSARs derived from heterogeneous series of compounds. Applications to the design of new anti-inflammatory compounds.

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5.  Designing antibacterial compounds through a topological substructural approach.

Authors:  Enrique Molina; Humberto González Díaz; Maykel Pérez González; Elismary Rodríguez; Eugenio Uriarte
Journal:  J Chem Inf Comput Sci       Date:  2004 Mar-Apr

6.  Structural determination of paraffin boiling points.

Authors:  H WIENER
Journal:  J Am Chem Soc       Date:  1947-01       Impact factor: 15.419

7.  Quantitative structure-activity relationship to predict toxicological properties of benzene derivative compounds.

Authors:  Maykel Pérez González; Aliuska Morales Helguera; Miguel Angel Cabrera
Journal:  Bioorg Med Chem       Date:  2005-03-01       Impact factor: 3.641

8.  QSAR studies about cytotoxicity of benzophenazines with dual inhibition toward both topoisomerases I and II: 3D-MoRSE descriptors and statistical considerations about variable selection.

Authors:  Liane Saíz-Urra; Maykel Pérez González; Marta Teijeira
Journal:  Bioorg Med Chem       Date:  2006-09-08       Impact factor: 3.641

9.  2D-autocorrelation descriptors for predicting cytotoxicity of naphthoquinone ester derivatives against oral human epidermoid carcinoma.

Authors:  Liane Saíz-Urra; Maykel Pérez González; Marta Teijeira
Journal:  Bioorg Med Chem       Date:  2007-02-22       Impact factor: 3.641

10.  Weizsäcker energy of many-electron systems.

Authors: 
Journal:  Phys Rev A       Date:  1994-07       Impact factor: 3.140

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