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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...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:Front Genet
Päätekijät: Hu, Qiwan, Feng, Mudong, Lai, Luhua, Pei, Jianfeng
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Frontiers Media S.A. 2018
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6277570/
https://ncbi.nlm.nih.gov/pubmed/30538725
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2018.00585
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