Jason B. Cross

Computational Chemistry & Drug Discovery · 2009–2023

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jason B. Cross trusts overall

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

  1. Anthony Nicholls
  2. Hans-Joachim Böhm
  3. Brian K. Shoichet
  4. Ruben Abagyan
  5. Richard A. Friesner
  6. Niu Huang
  7. Ajay N. Jain
  8. Christopher W. Murray
  9. Jason C. Cole
  10. Irwin D. Kuntz

Who trusts Jason B. Cross overall

  1. Elizabeth Yuriev
  2. Evanthia Lionta
  3. Sérgio Filipe Sousa
  4. Mark McGann
  5. Mark Agostino

Papers from Jason B. Cross's perspective

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

  1. Benchmarking sets for molecular docking.
  2. Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.
  3. Evaluating Virtual Screening Methods: Good and Bad Metrics for the "Early Recognition" Problem
  4. Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes
  5. Development and validation of a modular, extensible docking program: DOCK 5 (J. Comput. Aided Mol. Des.)
  6. Protein-based virtual screening of chemical databases. 1. Evaluation of different docking/scoring combinations. (Journal of Medicinal Chemistry)
  7. Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.
  8. Comparison of Topological, Shape, and Docking Methods in Virtual Screening (Journal of Chemical Information and Modeling)
  9. Molecular docking using shape descriptors
  10. Recommendations for evaluation of computational methods

Their papers