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Updated: Aug 25, 2026

A New Straightforward Method for Lipophilicity (logP) Measurement using 19F NMR Spectroscopy
Published on: January 30, 2019
A neural network based prediction of octanol-water partition coefficients using atomic5 fragmental descriptors
László Molnár1, György M Keseru, Akos Papp
1Department of Chemical Information Technology, Budapest University of Technology and Economics, Szent Gellért tér 4., H-1111 Budapest, Hungary.
Abstract:
An artificial neural network based approach using Atomic5 fragmental descriptors has been developed to predict the octanol-water partition coefficient (logP). We used a pre-selected set of organic molecules from PHYSPROP database as training and test sets for a feedforward neural network. Results demonstrate the superiority of our non-linear model over the traditional linear method.
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