Johanna M. Jansen

Computational Theory and Mathematics · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 63 citations into it

Whom Johanna M. Jansen trusts

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

1. Gisbert Schneider (in Computational Theory and Mathematics)

Papers from Johanna M. Jansen's perspective

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

1. Automating drug discovery (Nature reviews. Drug discovery)
2. Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks
3. Convolutional Networks on Graphs for Learning Molecular Fingerprints
4. Highly accurate protein structure prediction with AlphaFold
5. Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data
6. On Calibration of Modern Neural Networks
7. Prototypical Networks for Few-shot Learning
8. The CMA Evolution Strategy: A Tutorial
9. Reconfigurable system for automated optimization of diverse chemical reactions (Science)
10. Organic synthesis provides opportunities to transform drug discovery (Nature Chemistry)

Their papers

• D3R grand challenge 4: blind prediction of protein–ligand poses, affinity rankings, and relative binding free energies (2019) — 113 citations
• Rethinking drug design in the artificial intelligence era (2019) — 681 citations
• CACHE (Critical Assessment of Computational Hit-finding Experiments): A public-private partnership benchmarking initiative to enable the development of computational methods for hit-finding (2021) — 83 citations