Prediction of Drug-Likeness Using Deep Autoencoder Neural Networks

Due to diverse reasons, most drug candidates cannot eventually become marketed drugs. Developing reliable computational methods for prediction of drug-likeness of candidate compounds is of vital importance to improve the success rate of drug discovery and development. In this study, we used a fully...

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Bibliographic Details
Main Authors: Qiwan Hu, Mudong Feng, Luhua Lai, Jianfeng Pei
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-11-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2018.00585/full