Youchao Deng
Computer Science · Purdue University West Lafayette
Publications
65
Citations
1,556
Est. group size
~3
Recurring co-author estimate
Active years
20
Publishing since 2007
Youchao Deng works at the intersection of computer science and drug discovery, developing machine learning and deep learning methods to predict toxicity, metabolism, and other drug-related properties from chemical structure data. Recent work includes tools for identifying toxic chemical substructures, predicting nephrotoxicity and adverse drug reactions, and improving molecular docking and drug repositioning using AI methods. This research is aimed at helping computationally screen and evaluate drug candidates before costly lab testing.
Publication output has grown substantially over the last decade, rising from about 1 paper per year in 2017 to a peak of 17 in 2026, with a marked acceleration since 2023.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- A comprehensive evaluation of advanced methods for identifying structural alerts using extensive toxicity data
Journal of Cheminformatics · 2026
- A comprehensive evaluation of advanced methods for identifying structural alerts using extensive toxicity data
Figshare · 2026
- Additional file 1 of A comprehensive evaluation of advanced methods for identifying structural alerts using extensive toxicity data
Figshare · 2026
- A comprehensive evaluation of advanced methods for identifying structural alerts using extensive toxicity data
Figshare · 2026
- Additional file 3 of A comprehensive evaluation of advanced methods for identifying structural alerts using extensive toxicity data
Figshare · 2026
- Additional file 2 of A comprehensive evaluation of advanced methods for identifying structural alerts using extensive toxicity data
Figshare · 2026
- Additional file 4 of A comprehensive evaluation of advanced methods for identifying structural alerts using extensive toxicity data
Figshare · 2026
- Additional file 4 of A comprehensive evaluation of advanced methods for identifying structural alerts using extensive toxicity data
Figshare · 2026
- Additional file 2 of A comprehensive evaluation of advanced methods for identifying structural alerts using extensive toxicity data
Figshare · 2026
- Additional file 5 of A comprehensive evaluation of advanced methods for identifying structural alerts using extensive toxicity data
Figshare · 2026
- Additional file 5 of A comprehensive evaluation of advanced methods for identifying structural alerts using extensive toxicity data
Figshare · 2026
- Additional file 3 of A comprehensive evaluation of advanced methods for identifying structural alerts using extensive toxicity data
Figshare · 2026
- Additional file 1 of A comprehensive evaluation of advanced methods for identifying structural alerts using extensive toxicity data
Figshare · 2026
- TabPFN Opens New Avenues for Small-Data Tabular Learning in Drug Discovery
Journal of Chemical Information and Modeling · 2026
- A fused deep learning approach to transform drug repositioning
Communications Chemistry · 2025
- Figshare×12
- Journal of Medicinal Chemistry×9
- Chemical Science×3
- Journal of Chemical Information and Modeling×3
- bioRxiv (Cold Spring Harbor Laboratory)×3
- Samy O. Meroueh
Computer Science · Indiana University
- Sarah Maier
Computer Science · Indiana University
- Abayomi Emmanuel Adegboyega
Computer Science · Purdue University West Lafayette
- Abhik Seal
Computer Science · Indiana University
- Anton V. Sinitskiy
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile