Evan N. Feinberg

According to our database, Evan N. Feinberg authored at least 5 papers between 2017 and 2025.

Collaborative distances:

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

2025

Pearl: A Foundation Model for Placing Every Atom in the Right Location.

Alejandro Dobles, Nina Jovic, Kenneth Leidal, Pranav Murugan, David C. Williams, Drausin Wulsin, Nate Gruver, Christina X. Ji, Korrawat Pruegsanusak, Gianluca Scarpellini, Ansh Sharma, Wojciech Swiderski, Andrea Bootsma, Richard Strong Bowen, Charlotte Chen, Jamin Chen, Marc André Dämgen, Benjamin DiFrancesco, J. D. Fishman, Alla Ivanova, Zach Kagin, David Li-Bland, Zuli Liu, Igor Morozov, Jeffrey Ouyang-Zhang, Frank C. Pickard IV, Kushal S. Shah, Ben Shor, Gabriel Monteiro da Silva, Roy Tal, Maxx H. Tessmer, Carl Tilbury, Cyr Vetcher, Daniel Zeng, Maruan Al-Shedivat, Aleksandra Faust, Evan N. Feinberg, Michael V. LeVine, Matteus Pan

CoRR, October, 2025

2019

Step Change Improvement in ADMET Prediction with PotentialNet Deep Featurization.

Evan N. Feinberg, Robert P. Sheridan, Elizabeth Joshi, Vijay S. Pande, Alan C. Cheng

CoRR, 2019

2018

Spatial Graph Convolutions for Drug Discovery.

Evan N. Feinberg, Debnil Sur, Brooke E. Husic, Doris Mai, Yang Li, Jianyi Yang, Bharath Ramsundar, Vijay S. Pande

CoRR, 2018

2017

MoleculeNet: A Benchmark for Molecular Machine Learning.

Zhenqin Wu, Bharath Ramsundar, Evan N. Feinberg, Joseph Gomes, Caleb Geniesse, Aneesh S. Pappu, Karl Leswing, Vijay S. Pande

CoRR, 2017

Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity.

Joseph Gomes, Bharath Ramsundar, Evan N. Feinberg, Vijay S. Pande

CoRR, 2017