Kai Wang

Molecular Biology · with Bagherian · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Wang trusts overall

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

  1. Minoru Kanehisa
  2. C. Burges
  3. Yoshihiro Yamanishi
  4. Mehmet Gönen
  5. Antonio Lavecchia
  6. Tao Zhou
  7. Michael Kuhn
  8. Ruslan Salakhutdinov
  9. Mikhail Belkin
  10. Anna Gaulton

Papers from Kai Wang's perspective

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

  1. This PDF file includes: Materials and Methods
  2. From genomics to chemical genomics: new developments in KEGG (Nucleic Acids Res.)
  3. ChEMBL: a large-scale bioactivity database for drug discovery
  4. Random Forests
  5. DrugBank 3.0: a comprehensive resource for ‘Omics’ research on drugs
  6. SuperTarget and Matador: resources for exploring drug-target relationships (Nucleic Acids Res.)
  7. DrugBank 4.0: shedding new light on drug metabolism
  8. Predicting new molecular targets for known drugs
  9. Prediction of drug–target interaction networks from the integration of chemical and genomic spaces (Intelligent Systems in Molecular Biology)
  10. The ChEMBL bioactivity database: an update

Their papers