Jocelyn Sunseri

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 9

Top Topics

Protein Complexes

Gpu Accelerated

Convolutional Neural Networks

Top Venues

J. Chem. Inf. Model.

J. Comput. Aided Mol. Des.

J. Cheminformatics

Publications

Andrew T. McNutt, Paul G. Francoeur, Rishal Aggarwal, Tomohide Masuda, Rocco Meli, Matthew Ragoza, Jocelyn Sunseri, David Ryan Koes
GNINA 1.0: molecular docking with deep learning. J. Cheminformatics 13 (1) (2021)
Paul G. Francoeur, Tomohide Masuda, Jocelyn Sunseri, Andrew Jia, Richard B. Iovanisci, Ian Snyder, David Ryan Koes
Three-Dimensional Convolutional Neural Networks and a Cross-Docked Data Set for Structure-Based Drug Design. J. Chem. Inf. Model. 60 (9) (2020)
Jocelyn Sunseri, David Ryan Koes
libmolgrid: Graphics Processing Unit Accelerated Molecular Gridding for Deep Learning Applications. J. Chem. Inf. Model. 60 (3) (2020)
Jocelyn Sunseri, Jonathan E. King, Paul G. Francoeur, David Ryan Koes
Convolutional neural network scoring and minimization in the D3R 2017 community challenge. J. Comput. Aided Mol. Des. 33 (1) (2019)
Jocelyn Sunseri, David Ryan Koes
libmolgrid: GPU Accelerated Molecular Gridding for Deep Learning Applications. CoRR (2019)
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)
Jocelyn Sunseri, Matthew Ragoza, Jasmine Collins, David Ryan Koes
A D3R prospective evaluation of machine learning for protein-ligand scoring. J. Comput. Aided Mol. Des. 30 (9) (2016)
Matthew Ragoza, Joshua E. Hochuli, Elisa Idrobo, Jocelyn Sunseri, David Ryan Koes
Protein-Ligand Scoring with Convolutional Neural Networks. CoRR (2016)
Jocelyn Sunseri, David Ryan Koes
Pharmit: interactive exploration of chemical space. Nucleic Acids Res. 44 (Webserver-Issue) (2016)