druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico.
about
Overcoming Obstacles to Drug Repositioning in Japan.Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders.Application of Generative Autoencoder in de Novo Molecular Design.Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare.Vive la radiorésistance!: converging research in radiobiology and biogerontology to enhance human radioresistance for deep space exploration and colonization.Deep learning in pharmacogenomics: from gene regulation to patient stratification.Machine learning in chemoinformatics and drug discovery.
P2860
Q42700223-9AFF3813-85EC-49CB-ABD7-CCD7A1A9F001Q47132893-0B810AE0-7FF0-48F5-9563-E9A2B8B0BEFFQ48127458-249811D5-F671-4DB8-B1DC-2325F6EA35F4Q49787893-360B176F-C7C1-4291-9718-7F6B2A3738A5Q51144519-51226941-08B2-4D62-BB25-ED3C71BB75C0Q52309127-87DACEF0-3DA2-49D2-A60C-64883FC6421AQ54373716-79FB726F-0492-4404-8D4A-EF5317EBD192
P2860
druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
2017年论文
@zh
2017年论文
@zh-cn
name
druGAN: An Advanced Generative ...... olecular Properties in Silico.
@en
type
label
druGAN: An Advanced Generative ...... olecular Properties in Silico.
@en
altLabel
druGAN: An Advanced Generative ...... Molecular Properties in Silico
@en
prefLabel
druGAN: An Advanced Generative ...... olecular Properties in Silico.
@en
P50
P1476
druGAN: An Advanced Generative ...... olecular Properties in Silico.
@en
P2093
Alex Aliper
Kuzma Khrabrov
P304
P356
10.1021/ACS.MOLPHARMACEUT.7B00346
P407
P577
2017-07-13T00:00:00Z