Stephen K. Burley

Molecular Biology · 2001–2023

A researcher in the Science corpus: 23 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Molecular Biology — 335 citations into it; #17,640 of 17,773 by trust here, #1,534 by citations
• Materials Chemistry — 161 citations into it
• Computational Biology & Bioinformatics — 98 citations into it
• Spectroscopy — 54 citations into it
• Evaluation & Benchmarks — 29 citations into it

Whom Stephen K. Burley trusts overall

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

1. Helen M. Berman
2. Alexander S. Rose
3. Colin R. Groom
4. S. Velankar
5. J. Haas
6. Konstantin Arnold
7. Peter W. Rose
8. David Baker
9. Martin Steinegger
10. Ian J. Bruno

Who trusts Stephen K. Burley overall

1. Konstantin Weissenow
2. Polo Chun-Hung Lam
3. Xiang-Jun Lu
4. Michael Heinzinger
5. Joanna Sarzynska
6. Nisha Muralidharan
7. Ruben Abagyan
8. Wilma K. Olson

Papers from Stephen K. Burley's perspective

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

1. The Protein Data Bank.
2. Basic local alignment search tool.
3. The worldwide Protein Data Bank (wwPDB): ensuring a single, uniform archive of PDB data
4. The Protein Data Bank
5. MODBASE: a database of annotated comparative protein structure models and associated resources
6. The Universal Protein Resource (UniProt)
7. Data growth and its impact on the SCOP database: new developments
8. Protein Structure Prediction and Structural Genomics
9. Inference of macromolecular assemblies from crystalline state.
10. The Pfam protein families database

Their papers

• Outcome of a workshop on archiving structural models of biological macromolecules. (2006) — 64 citations
• Outcome of a Workshop on Applications of Protein Models in Biomedical Research (2009) — 145 citations
• The RCSB Protein Data Bank: views of structural biology for basic and applied research and education (2014) — 509 citations
• 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
• Mol* Viewer: modern web app for 3D visualization and analysis of large biomolecular structures (2021) — 1,008 citations
• Outcome of the First wwPDB Hybrid/Integrative Methods Task Force Workshop (2015) — 175 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
• Announcing mandatory submission of PDBx/mmCIF format files for crystallographic depositions to the Protein Data Bank (PDB). (2019) — 49 citations
• Hierarchical phosphorylation of the translation inhibitor 4E-BP1. (2001) — 946 citations
• RCSB Protein Data Bank: Enabling biomedical research and drug discovery (2019) — 303 citations
• Protein Data Bank (PDB): The Single Global Macromolecular Structure Archive (2017) — 974 citations
• RCSB Protein Data Bank: biological macromolecular structures enabling research and education in fundamental biology, biomedicine, biotechnology and energy (2018) — 1,101 citations
• A standard reference frame for the description of nucleic acid base-pair geometry. (2001) — 576 citations
• RCSB Protein Data Bank: A Resource for Chemical, Biochemical, and Structural Explorations of Large and Small Biomolecules (2016) — 126 citations
• Recon3D: A Resource Enabling A Three-Dimensional View of Gene Variation in Human Metabolism (2018) — 500 citations
• Uncoupling of initiation factor eIF5B/IF2 GTPase and translational activities by mutations that lower ribosome affinity. (2002) — 122 citations
• A public database of macromolecular diffraction experiments. (2016) — 89 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
• Announcing the launch of Protein Data Bank China as an Associate Member of the Worldwide Protein Data Bank Partnership (2023) — 10 citations