Being able to predict the human oral bioavailability for a potential new drug is extremely important for the drug discovery process. This problem has been addressed by several prediction tools, with Genetic Programming providing some of the best results ever achieved. In this paper we use the newest developments of Genetic Programming, in particular the latest bloat control method, Operator Equalisation, to find out how much improvement we can achieve on this problem. We show examples of some actual solutions and discuss their quality, comparing them with previously published results. We identify some unexpected behaviours related to overfitting, and discuss the way for further improving the practical usage of the Genetic Programming approach. Copyright © 2012 Inderscience Enterprises Ltd.
Silva, S., Vanneschi, L. (2012). Bloat free genetic programming: application to human oral bioavailability prediction. INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, 6(6), 585-601 [10.1504/IJDMB.2012.050266].
Bloat free genetic programming: application to human oral bioavailability prediction
VANNESCHI, LEONARDO
2012
Abstract
Being able to predict the human oral bioavailability for a potential new drug is extremely important for the drug discovery process. This problem has been addressed by several prediction tools, with Genetic Programming providing some of the best results ever achieved. In this paper we use the newest developments of Genetic Programming, in particular the latest bloat control method, Operator Equalisation, to find out how much improvement we can achieve on this problem. We show examples of some actual solutions and discuss their quality, comparing them with previously published results. We identify some unexpected behaviours related to overfitting, and discuss the way for further improving the practical usage of the Genetic Programming approach. Copyright © 2012 Inderscience Enterprises Ltd.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.