Chenghua Shao

Nucleic Acids Res. · 2016–2022

A researcher in the Science corpus: 8 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Chenghua Shao's perspective

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

1. The Protein Data Bank.
2. The Protein Data Bank
3. Basic local alignment search tool.
4. Phaser crystallographic software
5. Highly accurate protein structure prediction with AlphaFold
6. Electronic Reprint Biological Crystallography Secondary-structure Matching (ssm), a New Tool for Fast Protein Structure Alignment in Three Dimensions Biological Crystallography Secondary-structure…
7. Protein Structure Prediction and Structural Genomics
8. Macromolecular TLS refinement in REFMAC at moderate resolutions.
9. Continuous Automated Model EvaluatiOn (CAMEO) complementing the critical assessment of structure prediction in CASP12
10. MODBASE: a database of annotated comparative protein structure models and associated resources

Their papers

• RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences (2020) — 1,313 citations
• The RCSB protein data bank: integrative view of protein, gene and 3D structural information (2016) — 1,037 citations
• D3R grand challenge 4: blind prediction of protein–ligand poses, affinity rankings, and relative binding free energies (2019) — 113 citations
• RCSB Protein Data Bank: Enabling biomedical research and drug discovery (2019) — 303 citations
• RCSB Protein Data Bank: biological macromolecular structures enabling research and education in fundamental biology, biomedicine, biotechnology and energy (2018) — 1,101 citations
• D3R Grand Challenge 2: Blind Prediction of Protein-Ligand Poses, Affinity Rankings, and Relative Binding Free Energies (2017) — 173 citations
• RCSB Protein Data Bank (RCSB.org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from artificial intelligence/machine learning (2022) — 715 citations
• Simplified quality assessment for small-molecule ligands in the Protein Data Bank. (2022) — 20 citations