An Analysis of the Autocorrelation Descriptor for Molecules

作者: Boris Hollas

DOI: 10.1023/A:1023247831238

关键词:

摘要: We discuss properties of the autocorrelation descriptor, a topological descriptor encoding both molecular structure and physico-chemical molecule. introduce two random graph models for molecules show that this may exhibit unwanted correlation properties, making generated data unusable structure–activity relationship studies. This shortcoming can easily be eliminated by centering facilitating subsequent statistical analysis.

参考文章(11)
Uwe Schöning, Johannes Köbler, Jacobo Torán, The Graph Isomorphism Problem: Its Structural Complexity ,(2011)
Lemont B. Kier, Lowell H. Hall, Molecular Connectivity in Structure-Activity Analysis ,(1986)
Markus Wagener, Jens Sadowski, Johann Gasteiger, Autocorrelation of Molecular Surface Properties for Modeling Corticosteroid Binding Globulin and Cytosolic Ah Receptor Activity by Neural Networks Journal of the American Chemical Society. ,vol. 117, pp. 7769- 7775 ,(1995) , 10.1021/JA00134A023
Henri Bauknecht, Andreas Zell, Harald Bayer, Paul Levi, Markus Wagener, Jens Sadowski, Johann Gasteiger, Locating Biologically Active Compounds in Medium-Sized Heterogeneous Datasets by Topological Autocorrelation Vectors: Dopamine and Benzodiazepine Agonists Journal of Chemical Information and Computer Sciences. ,vol. 36, pp. 1205- 1213 ,(1996) , 10.1021/CI960346M
Harry Wiener, Structural Determination of Paraffin Boiling Points Journal of the American Chemical Society. ,vol. 69, pp. 17- 20 ,(1947) , 10.1021/JA01193A005
Nenad Trinajstic, Chemical Graph Theory Journal of Molecular Structure-theochem. ,vol. 164, pp. 363- 377 ,(1988) , 10.1201/9781315139111
Béla Bollobás, Random Graphs ,(1985)