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Accurate, reliable and interpretable solubility prediction of druglike
  molecules with attention pooling and Bayesian learning

Accurate, reliable and interpretable solubility prediction of druglike molecules with attention pooling and Bayesian learning

29 September 2022
Seongok Ryu
Sumin Lee
ArXivPDFHTML

Papers citing "Accurate, reliable and interpretable solubility prediction of druglike molecules with attention pooling and Bayesian learning"

3 / 3 papers shown
Title
Accelerating high-throughput virtual screening through molecular
  pool-based active learning
Accelerating high-throughput virtual screening through molecular pool-based active learning
David E. Graff
E. Shakhnovich
Connor W. Coley
76
139
0
13 Dec 2020
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
154
1,748
0
02 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1