Yuting Xu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 6

Top Topics

Mass Spectrometry

Molecular Docking

Machine Learning

Top Venues

Journal of chemical information and modeling

Nature chemical biology

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

Publications

Yuting Xu, Andy Liaw, Robert P Sheridan, Vladimir Svetnik
Development and Evaluation of Conformal Prediction Methods for Quantitative Structure-Activity Relationship. ACS omega 9 (27) (2024)
Yuting Xu, Andy Liaw, Robert P Sheridan, Vladimir Svetnik
Development and Evaluation of Conformal Prediction Methods for Quantitative Structure-Activity Relationship. ACS omega 9 (27) (2024)
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)
Benjamin Ruprecht, Julie Di Bernardo, Zhao Wang, Xuan Mo, Oleg Ursu, Matthew Christopher, Rafael B Fernandez, Li Zheng, Brian D Dill, Huijun Wang, Yuting Xu, Andy Liaw, Jonathan D Mortison, Nirodhini Siriwardana, Brian Andresen, Meir Glick, James R Tata, Victoria Kutilek, Ivan Cornella-Taracido, An Chi
A mass spectrometry-based proteome map of drug action in lung cancer cell lines. Nature chemical biology 16 (10) (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)
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)