Mark McGann

Computational Theory and Mathematics · 2003–2012

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Mark McGann trusts overall

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

  1. Anthony Nicholls
  2. Niu Huang
  3. Brian K. Shoichet
  4. Ajay N. Jain
  5. John J. Irwin
  6. Irwin D. Kuntz
  7. Jason B. Cross

Who trusts Mark McGann overall

  1. Elizabeth Yuriev
  2. Marco A. C. Neves
  3. L. Ferreira
  4. Ryan G. Coleman
  5. Paul A. Novick
  6. Shengyou Huang
  7. Paul A. Ramsland
  8. Maxim Totrov
  9. Ricardo N Dos Santos
  10. N. S. Pagadala

Papers from Mark McGann's perspective

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

  1. A critical assessment of docking programs and scoring functions.
  2. What do we know and when do we know it?
  3. Diverse, high-quality test set for the validation of protein-ligand docking performance.
  4. Comparison of shape-matching and docking as virtual screening tools.
  5. The Information Content of 2D and 3D Structural Descriptors Relevant to Ligand-Receptor Binding
  6. Evaluating Virtual Screening Methods: Good and Bad Metrics for the "Early Recognition" Problem
  7. Benchmarking sets for molecular docking.
  8. A fast method of molecular shape comparison: A simple application of a Gaussian description of molecular shape
  9. Empirical scoring functions. II. The testing of an empirical scoring function for the prediction of ligand-receptor binding affinities and the use of Bayesian regression to improve the quality of…
  10. Protein data bank

Their papers