Joshua E. Hochuli

According to our database, Joshua E. Hochuli authored at least 4 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Utilizing Low-Dimensional Molecular Embeddings for Rapid Chemical Similarity Search.

Kathryn E. Kirchoff, James Wellnitz, Joshua E. Hochuli, Travis Maxfield, Konstantin I. Popov, Shawn M. Gomez, Alexander Tropsha

Proceedings of the Advances in Information Retrieval, 2024

2020

SCAM Detective: Accurate Predictor of Small, Colloidally Aggregating Molecules.

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

J. Chem. Inf. Model., 2020

2018

Visualizing Convolutional Neural Network Protein-Ligand Scoring.

Joshua E. Hochuli, Alec Helbling, Tamar Skaist, Matthew Ragoza, David Ryan Koes

CoRR, 2018

2017

Protein-Ligand Scoring with Convolutional Neural Networks.

Matthew Ragoza, Joshua E. Hochuli, Elisa Idrobo, Jocelyn Sunseri, David Ryan Koes

J. Chem. Inf. Model., 2017