Daniel Kuhn

Molecular Biology · 2002–2021

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 28 citations into it; #11,626 of 17,773 by trust here, #12,227 by citations
• Computational Theory and Mathematics — 22 citations into it; #9,334 of 12,182 by trust here, #5,046 by citations
• Materials Chemistry — 9 citations into it
• Pharmacology — 8 citations into it
• Computational Biology & Bioinformatics — 7 citations into it

Whom Daniel Kuhn trusts overall

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

1. Uwe Hobohm
2. Peter Schmidtke
3. Roger A. Sayle
4. Michal Brylinski
5. Manfred Hendlich
6. Christopher Sander

Who trusts Daniel Kuhn overall

1. Janez Konc

Papers from Daniel Kuhn's perspective

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

1. RASMOL: biomolecular graphics for all.
2. Enlarged representative set of protein structures
3. Highly accurate protein structure prediction with AlphaFold
4. Fast calculation of molecular polar surface area as a sum of fragment-based contributions and its application to the prediction of drug transport properties.
5. A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotation
6. Understanding and predicting druggability. A high-throughput method for detection of drug binding sites. (Journal of Medicinal Chemistry)
7. Protein complex prediction with AlphaFold-Multimer
8. Ultra-large library docking for discovering new chemotypes (Nature)
9. ZINC20 – A Free Ultra Large-Scale Chemical Database for Ligand Discovery (Journal of Chemical Information and Modeling)
10. High-throughput crystallography for lead discovery in drug design

Their papers

• A new method to detect related function among proteins independent of sequence and fold homology. (2002) — 425 citations
• Combining Global and Local Measures for Structure-Based Druggability Predictions (2012) — 470 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
• DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment (2012) — 548 citations