Literature DB >> 10661552

Estimation of molecular linear free energy relationship descriptors by a group contribution approach. 2. Prediction of partition coefficients

.   

Abstract

A previously published method for the prediction of molecular linear free energy relationship descriptors is tested against experimentally determined partition coefficients in various solvent systems. Sets of partition data between water and octanol, cyclohexane, and chloroform were taken from the literature. For each set of partition data used, r2 values ranged from 0.8 to 0.9 and RMS errors from 0.7 to 1.0 log unit, comparable to errors obtained with previously published models for octanol-water partition. Modified solvation equations for water-octanol and water-cyclohexane partition are presented, and their implications discussed. The possibility of applying the current approach to a wide range of solvation and transport properties is put forward.

Entities:  

Year:  2000        PMID: 10661552     DOI: 10.1021/ci990427t

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


  9 in total

1.  Estimation of molecular linear free energy relationship descriptors. 4. Correlation and prediction of cell permeation.

Authors:  J A Platts; M H Abraham; A Hersey; D Butina
Journal:  Pharm Res       Date:  2000-08       Impact factor: 4.200

2.  Rate-limited steps of human oral absorption and QSAR studies.

Authors:  Yuan H Zhao; Michael H Abraham; Joelle Le; Anne Hersey; Chris N Luscombe; Gordon Beck; Brad Sherborne; Ian Cooper
Journal:  Pharm Res       Date:  2002-10       Impact factor: 4.200

3.  Calculating Partition Coefficients of Small Molecules in Octanol/Water and Cyclohexane/Water.

Authors:  Caitlin C Bannan; Gaetano Calabró; Daisy Y Kyu; David L Mobley
Journal:  J Chem Theory Comput       Date:  2016-08-01       Impact factor: 6.006

Review 4.  Performance of Kier-Hall E-state descriptors in quantitative structure activity relationship (QSAR) studies of multifunctional molecules.

Authors:  Darko Butina
Journal:  Molecules       Date:  2004-12-31       Impact factor: 4.411

5.  Prediction of the Fate of Organic Compounds in the Environment From Their Molecular Properties: A Review.

Authors:  Laure Mamy; Dominique Patureau; Enrique Barriuso; Carole Bedos; Fabienne Bessac; Xavier Louchart; Fabrice Martin-Laurent; Cecile Miege; Pierre Benoit
Journal:  Crit Rev Environ Sci Technol       Date:  2015-06-18       Impact factor: 12.561

6.  Development of a Novel Quantitative Structure-Activity Relationship Model to Accurately Predict Pulmonary Absorption and Replace Routine Use of the Isolated Perfused Respiring Rat Lung Model.

Authors:  Chris D Edwards; Chris Luscombe; Peter Eddershaw; Edith M Hessel
Journal:  Pharm Res       Date:  2016-07-11       Impact factor: 4.200

7.  Can small drugs predict the intrinsic aqueous solubility of 'beyond Rule of 5' big drugs?

Authors:  Alex Avdeef; Manfred Kansy
Journal:  ADMET DMPK       Date:  2020-04-25

8.  Prediction of aqueous intrinsic solubility of druglike molecules using Random Forest regression trained with Wiki-pS0 database.

Authors:  Alex Avdeef
Journal:  ADMET DMPK       Date:  2020-03-04

9.  Identifying organic chemicals not subject to bioaccumulation in air-breathing organisms using predicted partitioning and biotransformation properties.

Authors:  Frank Wania; Ying Duan Lei; Sivani Baskaran; Alessandro Sangion
Journal:  Integr Environ Assess Manag       Date:  2021-12-16       Impact factor: 3.084

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.