Michael J. Wasko

Computational Chemistry & Drug Discovery · 2015

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael J. Wasko trusts overall

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

  1. Philip J. Hajduk
  2. David Weininger
  3. I. Khanna
  4. K. Nicolaou
  5. Jacob D. Durrant
  6. Susan M. Boyd
  7. Marcel L. Verdonk
  8. Patrick C. Maaß
  9. Vivek K. Vyas
  10. Roderick E. Hubbard

Papers from Michael J. Wasko's perspective

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

  1. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings.
  2. A 'rule of three' for fragment-based lead discovery?
  3. A computational procedure for determining energetically favorable binding sites on biologically important macromolecules.
  4. Structure of the human dopamine D3 receptor in complex with a D2/D3 selective antagonist
  5. The role of ligand efficiency metrics in drug discovery
  6. The 'rule of three' for fragment-based drug discovery: where are we now?
  7. Fragment-based hit identification: thinking in 3D.
  8. The computer program LUDI: A new method for the de novo design of enzyme inhibitors
  9. SuperStar: a knowledge-based approach for identifying interaction sites in proteins.
  10. Lessons for fragment library design: analysis of output from multiple screening campaigns

Their papers