Scott A. Wildman

According to our database, Scott A. Wildman authored at least 8 papers between 1999 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

2008

Predicting Kinase Selectivity Profiles Using Free-Wilson QSAR Analysis.

Simone Sciabola, Robert V. Stanton, Sarah Wittkopp, Scott A. Wildman, Deborah J. Moshinsky, Shobha Potluri, Hualin Xi

J. Chem. Inf. Model., 2008

2003

Validation of DAPPER for 3D QSAR: Conformational Search and Chirality Metric.

Scott A. Wildman, Gordon M. Crippen

J. Chem. Inf. Comput. Sci., 2003

2001

Evaluation of Ligand Overlap by Atomic Parameters.

Scott A. Wildman, Gordon M. Crippen

J. Chem. Inf. Comput. Sci., 2001

1999

Prediction of Physicochemical Parameters by Atomic Contributions.

Scott A. Wildman, Gordon M. Crippen

J. Chem. Inf. Comput. Sci., 1999