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Machine learning and AI-based approaches for bioactive ligand discovery
  and GPCR-ligand recognition

Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition

17 January 2020
S. Raschka
Benjamin Kaufman
    AI4CE
ArXivPDFHTML

Papers citing "Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition"

5 / 5 papers shown
Title
Machine Learning in Python: Main developments and technology trends in
  data science, machine learning, and artificial intelligence
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence
S. Raschka
Joshua Patterson
Corey J. Nolet
AI4CE
18
482
0
12 Feb 2020
Model Evaluation, Model Selection, and Algorithm Selection in Machine
  Learning
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
S. Raschka
75
764
0
13 Nov 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
203
885
0
07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,338
0
12 Feb 2018
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
172
1,775
0
02 Mar 2017
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