Yongbo Hu

Computational Chemistry & Drug Discovery · 2009

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

• Computational Chemistry & Drug Discovery — 7 citations into it

Whom Yongbo Hu trusts

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

1. Hans-Joachim Böhm (in Computational Chemistry & Drug Discovery)
2. Anthony Nicholls (in Computer Vision and Pattern Recognition)

Papers from Yongbo Hu's perspective

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

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

Their papers

• Comparison of Several Molecular Docking Programs: Pose Prediction and Virtual Screening Accuracy (2009) — 443 citations