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Estimation of Aqueous Solubility of Chemical Compounds Using E-State Indices

Tetko, Igor V., Tanchuk, Vsevolod Yu., Kasheva, Tamara N., Villa, Alessandro E. P.·2001·Journal of Chemical Information and Computer Sciences

Abstract

The molecular weight and electrotopological E-state indices were used to estimate by Artificial Neural Networks aqueous solubility for a diverse set of 1291 organic compounds. The neural network with 33-4-1 neurons provided highly predictive results with r(2) = 0.91 and RMS = 0.62. The used parameters included several combinations of E-state indices with similar properties. The calculated results were similar to those published for these data by Huuskonen (2000). However, in the current study only E-state indices were used without need of additional indices (the molecular connectivity, shape, flexibility and indicator indices) also considered in the previous study. In addition, the present neural network contained three times less hidden neurons. Smaller neural networks and use of one homogeneous set of parameters provides a more robust model for prediction of aqueous solubility of chemical compounds. Limitations of the developed method for prediction of large compounds are discussed. The developed approach is available online at http://www.lnh.unil.ch/~itetko/logp.

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Metadata

Authors
Tetko, I. V., Tanchuk, V. Y., Kasheva, T. N., & Villa, A. E. P.
Venue
Journal of Chemical Information and Computer Sciences
Published
2001-09-19
Volume
41
Issue
6
Pages
1488-1493
ISSN
  • 0095-2338 (ISSN-L)
  • 1520-5142
OpenAlex
W2094836090
Cited by
331
References
0
FWCI
11.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Estimation of Aqueous Solubility of Chemical Compounds Using E-State Indices. https://app.cochat.ai/papers/10.1021/ci000392t
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Tetko, I. V., Tanchuk, V. Y., Kasheva, T. N., & Villa, A. E. P. (2001). Estimation of Aqueous Solubility of Chemical Compounds Using E-State Indices. Journal of Chemical Information and Computer Sciences. https://doi.org/10.1021/ci000392t

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