Robert P Sheridan

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 13

Top Topics

High Resolution

Molecular Dynamics

Electronic Health Record

Top Venues

Journal of chemical information and modeling

Science (New York, N.Y.)

Journal of medicinal chemistry

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

Publications

Robert P Sheridan
Stability of Prediction in Production ADMET Models as a Function of Version: Why and When Predictions Change. Journal of chemical information and modeling 62 (15) (2022)
Robert P Sheridan, Min Wang, Andy Liaw, Junshi Ma, Eric Gifford
Correction to Extreme Gradient Boosting as a Method for Quantitative Structure-Activity Relationships. Journal of chemical information and modeling 60 (3) (2020)
Robert P Sheridan, Prabha Karnachi, Matthew Tudor, Yuting Xu, Andy Liaw, Falgun Shah, Alan C Cheng, Elizabeth M Joshi, Meir Glick, Juan Alvarez
Experimental Error, Kurtosis, Activity Cliffs, and Methodology: What Limits the Predictivity of Quantitative Structure-Activity Relationship Models? Journal of chemical information and modeling 60 (4) (2020)
Yuting Xu, Deeptak Verma, Robert P Sheridan, Andy Liaw, Junshui Ma, Nicholas M Marshall, John McIntosh, Edward C Sherer, Vladimir Svetnik, Jennifer M Johnston
Deep Dive into Machine Learning Models for Protein Engineering. Journal of chemical information and modeling 60 (6) (2020)
Anthony DiFranzo, Robert P Sheridan, Andy Liaw, Matthew Tudor
Nearest Neighbor Gaussian Process for Quantitative Structure-Activity Relationships. Journal of chemical information and modeling 60 (10) (2020)
Dai Feng, Vladimir Svetnik, Andy Liaw, Matthew Pratola, Robert P Sheridan
Building Quantitative Structure-Activity Relationship Models Using Bayesian Additive Regression Trees. Journal of chemical information and modeling 59 (6) (2019)
Robert P Sheridan
Interpretation of QSAR Models by Coloring Atoms According to Changes in Predicted Activity: How Robust Is It? Journal of chemical information and modeling 59 (4) (2019)
Jesús G Estrada, Derek T Ahneman, Robert P Sheridan, Spencer D Dreher, Abigail G Doyle
Response to Comment on "Predicting reaction performance in C-N cross-coupling using machine learning". Science (New York, N.Y.) 362 (6416) (2018)
Shishi Lin, Sergei Dikler, William D Blincoe, Ronald D Ferguson, Robert P Sheridan, Zhengwei Peng, Donald V Conway, Kerstin Zawatzky, Heather Wang, Tim Cernak, Ian W Davies, Daniel A DiRocco, Huaming Sheng, Christopher J Welch, Spencer D Dreher
Mapping the dark space of chemical reactions with extended nanomole synthesis and MALDI-TOF MS. Science (New York, N.Y.) 361 (6402) (2018)
Yuting Xu, Junshui Ma, Andy Liaw, Robert P Sheridan, Vladimir Svetnik
Demystifying Multitask Deep Neural Networks for Quantitative Structure-Activity Relationships. Journal of chemical information and modeling 57 (10) (2017)
John M Sanders, Douglas C Beshore, J Christopher Culberson, James I Fells, Jason E Imbriglio, Hakan Gunaydin, Andrew M Haidle, Marc Labroli, Brian E Mattioni, Nunzio Sciammetta, William D Shipe, Robert P Sheridan, Linda M Suen, Andreas Verras, Abbas Walji, Elizabeth M Joshi, Tjerk Bueters
Informing the Selection of Screening Hit Series with in Silico Absorption, Distribution, Metabolism, Excretion, and Toxicity Profiles. Journal of medicinal chemistry 60 (16) (2017)
Bharath Ramsundar, Bowen Liu, Zhenqin Wu, Andreas Verras, Matthew Tudor, Robert P Sheridan, Vijay Pande
Is Multitask Deep Learning Practical for Pharma? Journal of chemical information and modeling 57 (8) (2017)
Robert P Sheridan, Wei Min Wang, Andy Liaw, Junshui Ma, Eric M Gifford
Extreme Gradient Boosting as a Method for Quantitative Structure-Activity Relationships. Journal of chemical information and modeling 56 (12) (2016)