Jonathan E. King

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 3

Top Topics

Grand Challenge

Machine Learning

Protein Structural

Geometric Interpretation

Top Venues

J. Comput. Aided Mol. Des.

Publications

Jonathan E. King, David Ryan Koes
SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning. CoRR (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)
Ran Xiao, Jonathan E. King, Andrea Villaroman, Duc H. Do, Noel G. Boyle, Xiao Hu
Predict In-Hospital Code Blue Events using Monitor Alarms through Deep Learning Approach. EMBC (2018)