Volker Hähnke

Computational Theory and Mathematics · 2015

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Volker Hähnke trusts overall

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

  1. Evan E. Bolton
  2. Sunghwan Kim
  3. Stephen H. Bryant

Papers from Volker Hähnke's perspective

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

  1. ChEMBL: a large-scale bioactivity database for drug discovery
  2. PubChem3D: Conformer generation
  3. PubChem3D: Biologically relevant 3-D similarity
  4. The NCBI BioSystems database (Nucleic Acids Res.)
  5. The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases
  6. Large-Scale Learning of Structure-Activity Relationships Using a Linear Support Vector Machine and Problem-Specific Metrics
  7. The search for endogenous activators of the aryl hydrocarbon receptor. (Chemical Research in Toxicology)
  8. PubChem3D: a new resource for scientists
  9. Unsupervised Data Base Clustering Based on Daylight's Fingerprint and Tanimoto Similarity: A Fast and Automated Way To Cluster Small and Large Data Sets
  10. PubChem3D: conformer ensemble accuracy

Their papers