Anton V. Sinitskiy
Computer Science · Purdue University West Lafayette
Publications
53
Citations
869
Est. group size
—
Recurring co-author estimate
Active years
18
Publishing since 2009
Anton V. Sinitskiy works at the intersection of computer science, chemistry, and biology, using machine learning to tackle problems like drug discovery, chemical reaction prediction, and models of simple nervous systems. Recent work also evaluates how well AI systems can autonomously carry out scientific research tasks, comparing them against real published studies. This research could interest students working on applying AI/ML methods to chemistry, biology, and the broader question of automating scientific discovery.
Publication output has been variable but shows an increase in recent years, rising from a low in 2020 to a peak of 8 in 2023 and continuing at a steady pace of 4-6 per year through 2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Can AI Conduct Autonomous Scientific Research? Case Studies on Two Real-World Tasks
bioRxiv (Cold Spring Harbor Laboratory) · 2026
- Real Science Is Harder Than Benchmarks: Evaluating Advanced AI Frameworks on Published Studies. I. Uncertainty Quantification, ML on Therapeutic Data Commons, and Agent-Based Modeling
bioRxiv (Cold Spring Harbor Laboratory) · 2026
- Automating Research Intelligence: Advanced-AI-Generated vs Manually Designed Pipelines
2026
- Reproducibility of Open-Source Virtual Surgery Frameworks
Preprints.org · 2026
- ASXL2 Mutations Are Associated with Overall Survival and Estrogen Receptor Status in TCGA-BRCA Breast Cancer Patients
Preprints.org · 2026
- Practical Use of Advanced AI Frameworks on Real-Life Scientific Problems: Three Case Studies
bioRxiv (Cold Spring Harbor Laboratory) · 2026
- SLOGEN: A Structure-based Lead Optimization Model Unifying Fragment Generation and Screening
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- Predictive Minisci late stage functionalization with transfer learning
Nature Communications · 2024
- Simplest Model of Nervous System. III. Partial Optimization
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- Simplest Model of Nervous System. IV. General Solution
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- Computational model of primitive nervous system controlling chemotaxis in early multicellular heterotrophs
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- Can We Quickly Learn to “Translate” Bioactive Molecules with Transformer Models?
Journal of Chemical Information and Modeling · 2023
- Simplest Model of Nervous System. I. Formalism
bioRxiv (Cold Spring Harbor Laboratory) · 2023
- Making Sense of Neural Networks in the Light of Evolutionary Optimization
bioRxiv (Cold Spring Harbor Laboratory) · 2023
- Simplest Model of Nervous System. II. Evolutionary Optimization
bioRxiv (Cold Spring Harbor Laboratory) · 2023
- bioRxiv (Cold Spring Harbor Laboratory)×12
- ChemRxiv×7
- arXiv (Cornell University)×5
- Biophysical Journal×3
- The Journal of Physical Chemistry B×2
- Yu‐Chen Yen
Computer Science · Purdue University West Lafayette
- Xiang Liu
Computer Science · Purdue University West Lafayette
- Woong‐Hee Shin
Computer Science · Purdue University West Lafayette
- Jianwen Chen
Computer Science · The Ohio State University
- Kyle Swanson
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