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Compositional Deep Probabilistic Models of DNA Encoded Libraries
v1v2 (latest)

Compositional Deep Probabilistic Models of DNA Encoded Libraries

20 October 2023
Benson Chen
Mohammad M. Sultan
Theofanis Karaletsos
ArXiv (abs)PDFHTML

Papers citing "Compositional Deep Probabilistic Models of DNA Encoded Libraries"

5 / 5 papers shown
Title
DEL-Dock: Molecular Docking-Enabled Modeling of DNA-Encoded Libraries
DEL-Dock: Molecular Docking-Enabled Modeling of DNA-Encoded Libraries
Kirill Shmilovich
Benson Chen
Theofanis Karaletos
Mohammad M. Sultan
44
12
0
30 Nov 2022
Partial Product Aware Machine Learning on DNA-Encoded Libraries
Partial Product Aware Machine Learning on DNA-Encoded Libraries
P. Binder
Meghan Lawler
LaShadric C Grady
N. Carlson
Sumudu P. Leelananda
S. Belyanskaya
Joe Franklin
Nicolas P. Tilmans
Henri Palacci
59
6
0
16 May 2022
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDLUQCVOOD
235
1,164
0
07 Jul 2021
Machine learning on DNA-encoded libraries: A new paradigm for
  hit-finding
Machine learning on DNA-encoded libraries: A new paradigm for hit-finding
Kevin McCloskey
E. Sigel
S. Kearnes
L. Xue
Xia Tian
...
C. Hupp
Anthony D. Keefe
Christopher J. Mulhern
Ying Zhang
Patrick F. Riley
99
104
0
31 Jan 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
343
1,838
0
02 Mar 2017
1