Anh-Tien Ton

Computational Theory and Mathematics · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 43 citations into it
• Molecular Biology — 39 citations into it
• Computational Chemistry & Drug Discovery — 16 citations into it

Whom Anh-Tien Ton trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. John J. Irwin

Papers from Anh-Tien Ton's perspective

Ordered by how strongly the researchers Anh-Tien Ton trusts endorse each paper. Same corpus, a different order for every researcher.

1. ZINC - A Free Database of Commercially Available Compounds for Virtual Screening
2. Introduction to multi-layer feed-forward neural networks
3. A practical guide to large-scale docking (Nature Protocols)
4. Deep Docking: A Deep Learning Platform for Augmentation of Structure Based Drug Discovery (ACS Central Science)
5. UCSF Chimera—A visualization system for exploratory research and analysis
6. Basic local alignment search tool.
7. AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
8. Variability in docking success rates due to dataset preparation
9. The PDBbind database: methodologies and updates.
10. Molecular docking and ligand specificity in fragment-based inhibitor discovery

Their papers

• Deep Docking: A Deep Learning Platform for Augmentation of Structure Based Drug Discovery (2020) — 348 citations
• Rapid Identification of Potential Inhibitors of SARS‐CoV‐2 Main Protease by Deep Docking of 1.3 Billion Compounds (2020) — 442 citations
• Artificial intelligence–enabled virtual screening of ultra-large chemical libraries with deep docking (2022) — 310 citations