Katherine J. Schultz

According to our database, Katherine J. Schultz authored at least 4 papers between 2020 and 2023.

Collaborative distances:

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

2023

Integrated data-driven and experimental approaches to accelerate lead optimization targeting SARS-CoV-2 main protease.

Rohith Anand Varikoti, Katherine J. Schultz, Chathuri J. Kombala, Agustin Kruel, Kristoffer R. Brandvold, Mowei Zhou, Neeraj Kumar

J. Comput. Aided Mol. Des., August, 2023

AI-Accelerated Design of Targeted Covalent Inhibitors for SARS-CoV-2.

Rajendra P. Joshi, Katherine J. Schultz, Jesse William Wilson, Agustin Kruel, Rohith Anand Varikoti, Chathuri J. Kombala, Daniel W. Kneller, Stephanie Galanie, Gwyndalyn Phillips, Qiu Zhang, Leighton Coates, Jyothi Parvathareddy, Surekha Surendranathan, Ying Kong, Austin Clyde, Arvind Ramanathan, Colleen B. Jonsson, Kristoffer R. Brandvold, Mowei Zhou, Martha S. Head, Andrey Kovalevsky, Neeraj Kumar

J. Chem. Inf. Model., March, 2023

2021

Ligand- and Structure-Based Analysis of Deep Learning-Generated Potential α2a Adrenoceptor Agonists.

Katherine J. Schultz, Sean M. Colby, Vivian S. Lin, Aaron T. Wright, Ryan S. Renslow

J. Chem. Inf. Model., 2021

2020

Application and Assessment of Deep Learning for the Generation of Potential NMDA Receptor Antagonists.

Katherine J. Schultz, Sean M. Colby, Yasemin Yesiltepe, Jamie R. Nuñez, Monee Y. McGrady, Ryan S. Renslow

CoRR, 2020