Zhe Wang

Molecular Biology · Chemical Reviews · 2016–2021

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Molecular Biology — 140 citations into it; #16,129 of 17,773 by trust here, #9,851 by citations
• Atomic and Molecular Physics, and Optics — 16 citations into it

Whom Zhe Wang trusts overall

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

1. David A. Case
2. Holger Gohlke

Who trusts Zhe Wang overall

1. Junmei Wang

Papers from Zhe Wang's perspective

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

1. Protein data bank
2. AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization and multithreading
3. CAPRI: A Critical Assessment of PRedicted Interactions (Proteins: Structure, Function, and Bioinformatics)
4. PatchDock and SymmDock: servers for rigid and symmetric docking
5. GRAMM-X public web server for protein–protein docking (Nucleic Acids Res.)
6. The Amber biomolecular simulation programs
7. SwarmDock: a server for flexible protein-protein docking
8. Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.
9. Scikit-learn: Machine Learning in Python
10. ZDOCK server: interactive docking prediction of protein-protein complexes and symmetric multimers

Their papers

• The impact of cross-docked poses on performance of machine learning classifier for protein–ligand binding pose prediction (2021) — 33 citations
• Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models (2020) — 616 citations
• HawkDock: a web server to predict and analyze the protein–protein complex based on computational docking and MM/GBSA (2019) — 565 citations
• Comprehensive evaluation of ten docking programs on a diverse set of protein-ligand complexes: the prediction accuracy of sampling power and scoring power. (2016) — 706 citations
• End-Point Binding Free Energy Calculation with MM/PBSA and MM/GBSA: Strategies and Applications in Drug Design. (2019) — 1,862 citations