A correlation for estimation of the aqueous solubility of organic compounds that is based on a training set of 120 chemicals is proposed. The new model proposed is predictive and requires only molecular connectivity indices in the calculations. The calculated results of the new model are comparable
Estimation of Aqueous Solubility of Chemical Compounds Using E-State Indices
β Scribed by Tetko, I.V.; Tanchuk, V.Yu.; Kasheva, T.N.; Villa, A.E.P.
- Book ID
- 121194829
- Publisher
- American Chemical Society
- Year
- 2001
- Tongue
- English
- Weight
- 53 KB
- Volume
- 41
- Category
- Article
- ISSN
- 0095-2338
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract Based on the atomβtypee ectrotopological state (Eβstate) indices, a quantitative structureβproperty relationship model for the prediction of aqueous solubility for a diverse set of 745 organic compounds is presented. The multiple linear regression analysis was used to build the models.
Starting from the definition of cohesive energy density and the solubility parameter, the latter can be estimated using equations of state. We have used the linear isotherm regularity (LIR), Ihm-Song-Mason (ISM), and Peng-Robinson (PR) equations of state to predict the solubility parameter. The solu