S. Velankar

Molecular Biology · Nucleic Acids Research · 2010–2023

A researcher in the Science corpus: 26 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Molecular Biology — 435 citations into it; #17,691 of 17,773 by trust here, #1,056 by citations
• Materials Chemistry — 212 citations into it
• Computational Biology & Bioinformatics — 172 citations into it
• Evaluation & Benchmarks — 31 citations into it
• Computational Chemistry & Drug Discovery — 28 citations into it

Whom S. Velankar trusts overall

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

1. Gerard J. Kleywegt
2. Helen M. Berman
3. G. Sheldrick
4. Robert D. Finn
5. Marc F. Lensink
6. A. Brunger
7. Johannes Söding
8. Eugene Krissinel
9. Antonina Andreeva
10. Andrei Kouranov

Who trusts S. Velankar overall

1. Michael Heinzinger
2. Robert D. Finn
3. Stephen K. Burley
4. Yumeng Yan
5. Peter W. Rose
6. Tjaart A. P. de Beer
7. Manuel Irimia
8. Juyong Lee
9. Damiano Piovesan
10. Ahmed Elnaggar

Papers from S. Velankar's perspective

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

1. Basic local alignment search tool.
2. The worldwide Protein Data Bank (wwPDB): ensuring a single, uniform archive of PDB data
3. Errors in protein structures
4. Data growth and its impact on the SCOP database: new developments
5. PDBe: Protein Data Bank in Europe
6. The Protein Data Bank
7. The Protein Data Bank.
8. TM-align: a protein structure alignment algorithm based on the TM-score
9. Announcing the worldwide Protein Data Bank
10. SIFTS: Structure Integration with Function, Taxonomy and Sequences resource

Their papers

• Prediction of homo- and hetero-protein complexes by protein docking and template-based modeling: a CASP-CAPRI experiment (2016) — 130 citations
• Highly accurate protein structure prediction for the human proteome (2021) — 2,524 citations
• PDBe: improved findability of macromolecular structure data in the PDB (2019) — 178 citations
• Mol* Viewer: modern web app for 3D visualization and analysis of large biomolecular structures (2021) — 1,008 citations
• The challenge of modeling protein assemblies: the CASP12‐CAPRI experiment (2018) — 84 citations
• PDBe: Protein Data Bank in Europe (2010) — 289 citations
• Protein Data Bank: the single global archive for 3D macromolecular structure data (2018) — 996 citations
• Outcome of the First wwPDB Hybrid/Integrative Methods Task Force Workshop (2015) — 175 citations
• AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models (2021) — 3,102 citations
• PDBe: improved accessibility of macromolecular structure data from PDB and EMDB (2015) — 126 citations
• Announcing mandatory submission of PDBx/mmCIF format files for crystallographic depositions to the Protein Data Bank (PDB). (2019) — 49 citations
• Implementing an X-ray validation pipeline for the Protein Data Bank (2012) — 95 citations
• Genome3D: exploiting structure to help users understand their sequences (2014) — 47 citations
• Protein Data Bank (PDB): The Single Global Macromolecular Structure Archive (2017) — 974 citations
• AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences (2023) — 1,666 citations
• A structural biology community assessment of AlphaFold2 applications (2021) — 578 citations
• Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment (2019) — 104 citations
• Clustering predicted structures at the scale of the known protein universe (2023) — 308 citations
• Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment (2021) — 103 citations
• PSICQUIC and PSISCORE: accessing and scoring molecular interactions (2011) — 292 citations