Joshua E. Hochuli

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 6

Top Topics

Similarity Searching

Subcellular Localization

Top Venues

J. Chem. Inf. Model.

Publications

Kathryn E. Kirchoff, James Wellnitz, Joshua E. Hochuli, Travis Maxfield, Konstantin I. Popov, Shawn M. Gomez, Alexander Tropsha
Utilizing Low-Dimensional Molecular Embeddings for Rapid Chemical Similarity Search. ECIR (2) (2024)
Kathryn E. Kirchoff, James Wellnitz, Joshua E. Hochuli, Travis Maxfield, Konstantin I. Popov, Shawn M. Gomez, Alexander Tropsha
Utilizing Low-Dimensional Molecular Embeddings for Rapid Chemical Similarity Search. CoRR (2024)
Vinicius M. Alves, Stephen J. Capuzzi, Rodolpho C. Braga, Daniel Robert Korn, Joshua E. Hochuli, Kyle H. Bowler, Adam Yasgar, Ganesha Rai, Anton Simeonov, Eugene N. Muratov, Alexey V. Zakharov, Alexander Tropsha
SCAM Detective: Accurate Predictor of Small, Colloidally Aggregating Molecules. J. Chem. Inf. Model. 60 (8) (2020)
Joshua E. Hochuli, Alec Helbling, Tamar Skaist, Matthew Ragoza, David Ryan Koes
Visualizing Convolutional Neural Network Protein-Ligand Scoring. CoRR (2018)
Matthew Ragoza, Joshua E. Hochuli, Elisa Idrobo, Jocelyn Sunseri, David Ryan Koes
Protein-Ligand Scoring with Convolutional Neural Networks. J. Chem. Inf. Model. 57 (4) (2017)
Matthew Ragoza, Joshua E. Hochuli, Elisa Idrobo, Jocelyn Sunseri, David Ryan Koes
Protein-Ligand Scoring with Convolutional Neural Networks. CoRR (2016)