M. Namchuk

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 M. Namchuk trusts

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

  1. Tudor I. Oprea (in Computational Theory and Mathematics)
  2. Christopher A. Lipinski (in Computational Theory and Mathematics)

Papers from M. Namchuk's perspective

Ordered by how strongly the researchers M. Namchuk 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. Drug-like properties and the causes of poor solubility and poor permeability. (Journal of pharmacological and toxicological methods)
  3. Simple selection criteria for drug-like chemical matter. (Journal of Medicinal Chemistry)
  4. A knowledge-based approach in designing combinatorial or medicinal chemistry libraries for drug discovery. 1. A qualitative and quantitative characterization of known drug databases.
  5. Prediction of intestinal permeability. (Advanced Drug Delivery Reviews)
  6. High throughput docking for library design and library prioritization (Proteins: Structure, Function, and Bioinformatics)
  7. Property distribution of drug-related chemical databases* (J. Comput. Aided Mol. Des.)
  8. Ultra-large library docking for discovering new chemotypes (Nature)
  9. Protein complex prediction with AlphaFold-Multimer
  10. Fast calculation of molecular polar surface area as a sum of fragment-based contributions and its application to the prediction of drug transport properties.

Their papers