Jocelyn Sunseri

According to our database, Jocelyn Sunseri authored at least 8 papers between 2016 and 2021.

Collaborative distances:

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

2021

GNINA 1.0: molecular docking with deep learning.

Andrew T. McNutt, Paul G. Francoeur, Rishal Aggarwal, Tomohide Masuda, Rocco Meli, Matthew Ragoza, Jocelyn Sunseri, David Ryan Koes

J. Cheminformatics, 2021

2020

libmolgrid: Graphics Processing Unit Accelerated Molecular Gridding for Deep Learning Applications.

Jocelyn Sunseri, David Ryan Koes

J. Chem. Inf. Model., 2020

Three-Dimensional Convolutional Neural Networks and a Cross-Docked Data Set for Structure-Based Drug Design.

Paul G. Francoeur, Tomohide Masuda, Jocelyn Sunseri, Andrew Jia, Richard B. Iovanisci, Ian Snyder, David Ryan Koes

J. Chem. Inf. Model., 2020

2019

Convolutional neural network scoring and minimization in the D3R 2017 community challenge.

Jocelyn Sunseri, Jonathan E. King, Paul G. Francoeur, David Ryan Koes

J. Comput. Aided Mol. Des., 2019

libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning Applications.

Jocelyn Sunseri, David Ryan Koes

CoRR, 2019

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

2016

Pharmit: interactive exploration of chemical space.

Jocelyn Sunseri, David Ryan Koes

Nucleic Acids Res., 2016

A D3R prospective evaluation of machine learning for protein-ligand scoring.

Jocelyn Sunseri, Matthew Ragoza, Jasmine Collins, David Ryan Koes

J. Comput. Aided Mol. Des., 2016