James Davidson

Computational Chemistry & Drug Discovery · with Deane · 2016–2023

A researcher in the Science corpus: 3 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 James Davidson trusts

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

1. Darko Butina (in Algorithms & Complexity)
2. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
3. L. V. D. van der Maaten (in Computer Vision and Pattern Recognition)

Papers from James Davidson's perspective

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

1. Visualizing Data using t-SNE
2. Molecular properties that influence the oral bioavailability of drug candidates. (Journal of Medicinal Chemistry)
3. Unsupervised Data Base Clustering Based on Daylight's Fingerprint and Tanimoto Similarity: A Fast and Automated Way To Cluster Small and Large Data Sets
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. Learning Multiple Layers of Features from Tiny Images
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. ImageNet classification with deep convolutional neural networks
9. Rectified Linear Units Improve Restricted Boltzmann Machines
10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers

• The MCL1 inhibitor S63845 is tolerable and effective in diverse cancer models (2016) — 971 citations
• 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)