K. Bleicher

Computational Theory and Mathematics · 2003

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom K. Bleicher trusts overall

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

  1. Hans-Joachim Böhm
  2. W. Patrick Walters
  3. Gisbert Schneider
  4. Mark A. Murcko

Who trusts K. Bleicher overall

  1. Kalyan Immadisetty
  2. Christopher M. Dobson
  3. Jean-Louis Reymond
  4. Laura M. Geffert
  5. Mukund Deshpande

Papers from K. Bleicher's perspective

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

  1. Molecular Complexity and Its Impact on the Probability of Finding Leads for Drug Discovery (Journal of chemical information and computer sciences)
  2. Protein-based virtual screening of chemical databases. 1. Evaluation of different docking/scoring combinations. (Journal of Medicinal Chemistry)
  3. The Design of Leadlike Combinatorial Libraries.
  4. Drug discovery: a historical perspective. (Science)
  5. The druggable genome (Nature reviews. Drug discovery)
  6. Virtual screening and fast automated docking methods. (Drug Discovery Today)
  7. Prediction of 'drug-likeness'. (Advanced Drug Delivery Reviews)
  8. Virtual Screening for Bioactive Molecules
  9. On Calibration of Modern Neural Networks
  10. Nursing Research: Generating and Assessing Evidence for Nursing Practice

Their papers