F. Michael Hoffmann

According to our database, F. Michael Hoffmann authored at least 4 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Evaluating Scalable Supervised Learning for Synthesize-on-Demand Chemical Libraries.

Moayad Alnammi, Shengchao Liu, Spencer S. Ericksen, Gene E. Ananiev, Andrew F. Voter, Song Guo, James L. Keck, F. Michael Hoffmann, Scott A. Wildman, Anthony Gitter

J. Chem. Inf. Model., September, 2023

2019

Predicting kinase inhibitors using bioactivity matrix derived informer sets.

Huikun Zhang, Spencer S. Ericksen, Ching-pei Lee, Gene E. Ananiev, Nathan Wlodarchak, Peng Yu, Julie C. Mitchell, Anthony Gitter, Stephen J. Wright, F. Michael Hoffmann, Scott A. Wildman, Michael A. Newton

PLoS Comput. Biol., 2019

Practical Model Selection for Prospective Virtual Screening.

Shengchao Liu, Moayad Alnammi, Spencer S. Ericksen, Andrew F. Voter, Gene E. Ananiev, James L. Keck, F. Michael Hoffmann, Scott A. Wildman, Anthony Gitter

J. Chem. Inf. Model., 2019

2017

Machine Learning Consensus Scoring Improves Performance Across Targets in Structure-Based Virtual Screening.

Spencer S. Ericksen, Haozhen Wu, Huikun Zhang, Lauren A. Michael, Michael A. Newton, F. Michael Hoffmann, Scott A. Wildman

J. Chem. Inf. Model., July, 2017