S Joshua Swamidass (S J Swamidass)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Top Venues

Chemical research in toxicology

Journal of chemical information and modeling

The journal of physical chemistry. A

This page only lists publications with an associated author ORCID identifier.

Publications

Kyle N Goodman, Kathryn Sarullo, S Joshua Swamidass, Joseph P Gaut, Sanjay Jain
Role of Artificial Intelligence in Kidney Pathology: Promises and Pitfalls. Kidney360 5 (7) (2024)
Noah R Flynn, S Joshua Swamidass
Message Passing Neural Networks Improve Prediction of Metabolite Authenticity. Journal of chemical information and modeling (2023)
Matthew K Matlock, Max Hoffman, Na Le Dang, Dakota L Folmsbee, Luke A Langkamp, Geoffrey R Hutchison, Neeraj Kumar, Kathryn Sarullo, S Joshua Swamidass
Deep Learning Coordinate-Free Quantum Chemistry. The journal of physical chemistry. A 125 (40) (2021)
Michael D Ward, Maxwell I Zimmerman, Artur Meller, Moses K J Chung, S Joshua Swamidass, Gregory R Bowman
Deep learning the structural determinants of protein biochemical properties by comparing structural ensembles with DiffNets. Nature communications 12 (1) (2021)
Tyler B Hughes, Noah R Flynn, Na Le Dang, S Joshua Swamidass
Modeling the Bioactivation and Subsequent Reactivity of Drugs. Chemical research in toxicology 34 (2) (2021)
Kathryn Sarullo, Matthew K Matlock, S Joshua Swamidass
Site-Level Bioactivity of Small-Molecules from Deep-Learned Representations of Quantum Chemistry. The journal of physical chemistry. A 124 (44) (2020)
Noah R Flynn, Na Le Dang, Michael D Ward, S Joshua Swamidass
XenoNet: Inference and Likelihood of Intermediate Metabolite Formation. Journal of chemical information and modeling 60 (7) (2020)
Na Le Dang, Matthew K Matlock, Tyler B Hughes, S Joshua Swamidass
The Metabolic Rainbow: Deep Learning Phase I Metabolism in Five Colors. Journal of chemical information and modeling 60 (3) (2020)
Tyler B Hughes, Na Le Dang, Ayush Kumar, Noah R Flynn, S Joshua Swamidass
Metabolic Forest: Predicting the Diverse Structures of Drug Metabolites. Journal of chemical information and modeling 60 (10) (2020)
Mary Alexandra Schleiff, Dustyn A Barnette, Noah R Flynn, Anirudh S Pidugu, S Joshua Swamidass, Gunnar Boysen, Grover P Miller
CYP2C19 and 3A4 Dominate Metabolic Clearance and Bioactivation of Terbinafine Based on Computational and Experimental Approaches. Chemical research in toxicology 32 (6) (2019)
Travers Ching, Daniel Scott Himmelstein, Brett K Beaulieu-Jones, Alexandr A Kalinin, Brian T Do, Gregory P Way, Enrico Ferrero, Paul-Michael Agapow, Michael Zietz, Michael M Hoffman, Wei Xie, Gail L Rosen, Benjamin J Lengerich, Johnny Israeli, Jack Lanchantin, Stephen Woloszynek, Anne E Carpenter, Avanti Shrikumar, Jinbo Xu, Evan M Cofer, Christopher A Lavender, Srinivas C Turaga, Amr M Alexandari, Zhiyong Lu, David J Harris, Dave DeCaprio, Yanjun Qi, Anshul Kundaje, Yifan Peng, Laura K Wiley, Marwin H S Segler, Simina M Boca, S Joshua Swamidass, Austin Huang, Anthony Gitter, Casey S Greene
Opportunities and obstacles for deep learning in biology and medicine. Journal of the Royal Society, Interface 15 (141) (2019)
Matthew K Matlock, Abhik Tambe, Jack Elliott-Higgins, Ronald N Hines, Grover P Miller, S Joshua Swamidass
A Time-Embedding Network Models the Ontogeny of 23 Hepatic Drug Metabolizing Enzymes. Chemical research in toxicology 32 (8) (2019)
Na Le Dang, Tyler B Hughes, Grover P Miller, S Joshua Swamidass
Computationally Assessing the Bioactivation of Drugs by N-Dealkylation. Chemical research in toxicology 31 (2) (2018)
Matthew K Matlock, Tyler B Hughes, Jayme L Dahlin, S Joshua Swamidass
Modeling Small-Molecule Reactivity Identifies Promiscuous Bioactive Compounds. Journal of chemical information and modeling 58 (8) (2018)
Na Le Dang, Tyler B Hughes, Grover P Miller, S Joshua Swamidass
Computational Approach to Structural Alerts: Furans, Phenols, Nitroaromatics, and Thiophenes. Chemical research in toxicology 30 (4) (2017)