Prediction of Drug-Likeness Using Deep Autoencoder Neural Networks

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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Detaylı Bibliyografya
Asıl Yazarlar: Qiwan Hu, Mudong Feng, Luhua Lai, Jianfeng Pei
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Frontiers Media S.A. 2018-11-01
Seri Bilgileri:Frontiers in Genetics
Konular:
drug-likeness
ZINC
MDDR
deep learning
auto-encoder
Online Erişim:https://www.frontiersin.org/article/10.3389/fgene.2018.00585/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2018.00585/full

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