Literature DB >> 1400663

Estimation of aqueous solubility of organic molecules by the group contribution approach. Application to the study of biodegradation.

G Klopman1, S Wang, D M Balthasar.   

Abstract

A reliable and generally applicable aqueous solubility estimation method for organic compounds based on a group contribution approach has been developed. Two models have been established based on two different sets of parameters. One has a higher accuracy, while the other has a more general applicability. The prediction potentials of these two models have been evaluated through cross-validation experiments. For model I, the mean cross-validated r2 and SD for 10 such cross-validation experiments were 0.946 and 0.503 log units, respectively. While for model II, they were 0.953 and 0.546 log units, respectively. Applying our models to estimate the water solubility values for the compounds in an independent test set, we found that model I can be applied to 13 out of 21 compounds with a SD equal to 0.58 log unit and model II can be applied to all the 21 compounds with a SD equal to 1.25 log units. Our models compare favorably to all the current available water estimation methods. A program based on this approach has been written in FORTRAN77 and is currently running on a VAX/VMS system. The program can be applied to estimate the water solubility of the water solubility of any organic chemical with a good or fairly good accuracy except for except for electrolytes. Applying our aqueous solubility estimation models to biodegradation studies, we found that although the water solubility was not the sole factor controlling the rate of biodegradation, ring compounds with greater solubilities were more likely to biodegrade at a faster rate. The significance of the relationship between water solubility and biodegradation activity has been illustrated by predicting the biodegradation activity of 27 new chemicals based solely on their estimated solubility values.

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Year:  1992        PMID: 1400663     DOI: 10.1021/ci00009a013

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  14 in total

1.  Simultaneous prediction of aqueous solubility and octanol/water partition coefficient based on descriptors derived from molecular structure.

Authors:  D J Livingstone; M G Ford; J J Huuskonen; D W Salt
Journal:  J Comput Aided Mol Des       Date:  2001-08       Impact factor: 3.686

2.  Estimation of aqueous solubility of organic compounds with QSPR approach.

Authors:  Hua Gao; Veerabahu Shanmugasundaram; Pil Lee
Journal:  Pharm Res       Date:  2002-04       Impact factor: 4.200

3.  Solubility prediction by recursive partitioning.

Authors:  Xiaoyang Xia; Edward Maliski; Janet Cheetham; Leszek Poppe
Journal:  Pharm Res       Date:  2003-10       Impact factor: 4.200

4.  Active-site-directed 3D database searching: pharmacophore extraction and validation of hits.

Authors:  D E Clark; D R Westhead; R A Sykes; C W Murray
Journal:  J Comput Aided Mol Des       Date:  1996-10       Impact factor: 3.686

5.  Analysis of relationships between solid-state properties, counterion, and developability of pharmaceutical salts.

Authors:  Peter Guerrieri; Alfred C F Rumondor; Tonglei Li; Lynne S Taylor
Journal:  AAPS PharmSciTech       Date:  2010-08-03       Impact factor: 3.246

6.  Quantitative structure-agonist activity relationship of capsaicin analogues.

Authors:  G Klopman; J Y Li
Journal:  J Comput Aided Mol Des       Date:  1995-06       Impact factor: 3.686

7.  Encoding microbial metabolic logic: predicting biodegradation.

Authors:  Bo Kyeng Hou; Lynda B M Ellis; Lawrence P Wackett
Journal:  J Ind Microbiol Biotechnol       Date:  2004-07-10       Impact factor: 3.346

8.  Are 2D fingerprints still valuable for drug discovery?

Authors:  Kaifu Gao; Duc Duy Nguyen; Vishnu Sresht; Alan M Mathiowetz; Meihua Tu; Guo-Wei Wei
Journal:  Phys Chem Chem Phys       Date:  2020-04-29       Impact factor: 3.676

Review 9.  QSPR studies on aqueous solubilities of drug-like compounds.

Authors:  Pablo R Duchowicz; Eduardo A Castro
Journal:  Int J Mol Sci       Date:  2009-06-03       Impact factor: 6.208

10.  The environmental fate of organic pollutants through the global microbial metabolism.

Authors:  Manuel J Gómez; Florencio Pazos; Francisco J Guijarro; Víctor de Lorenzo; Alfonso Valencia
Journal:  Mol Syst Biol       Date:  2007-06-05       Impact factor: 11.429

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