Tim Dudgeon

Computational Chemistry & Drug Discovery · 2022–2023

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

Subfields

• Computational Chemistry & Drug Discovery — 10 citations into it

Whom Tim Dudgeon trusts overall

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

1. Darko Butina
2. L. V. D. van der Maaten

Papers from Tim Dudgeon's perspective

Ordered by how strongly the researchers Tim Dudgeon trusts endorse each paper. Same corpus, a different order for every researcher.

1. Visualizing Data using t-SNE
2. Unsupervised Data Base Clustering Based on Daylight's Fingerprint and Tanimoto Similarity: A Fast and Automated Way To Cluster Small and Large Data Sets
3. Molecular properties that influence the oral bioavailability of drug candidates. (Journal of Medicinal Chemistry)
4. Structure of Mpro from SARS-CoV-2 and discovery of its inhibitors (Nature)
5. PLIP 2021: expanding the scope of the protein–ligand interaction profiler to DNA and RNA (Nucleic Acids Res.)
6. ImageNet classification with deep convolutional neural networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Fragment Merging Using a Graph Database Samples Different Catalogue Space than Similarity Search (2023) — 21 citations
• The use of a graph database is a complementary approach to a classical similarity search for identifying commercially available fragment merges (2022)