Jonghun Won
Molecular Biology · 2019–2021
A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 91 citations into it; #13,969 of 17,773 by trust here, #11,019 by citations
- Materials Chemistry — 64 citations into it; #8,789 of 11,513 by trust here, #8,433 by citations
- Computational Biology & Bioinformatics — 43 citations into it
- Computational Theory and Mathematics — 19 citations into it
Whom Jonghun Won trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andriy Kryshtafovych
- Adam T. Zemla
- Bohdan Monastyrskyy
- Valerio Mariani
- Krzysztof Fidelis
- Lisa N. Kinch
- Alessandro Barbato
- Torsten Schwede
- Hahnbeom Park
- Marco Biasini
Who trusts Jonghun Won overall
Papers from Jonghun Won's perspective
Ordered by how strongly the researchers Jonghun Won trusts endorse each paper. Same corpus, a different order for every researcher.
- LGA: a method for finding 3D similarities in protein structures
- Basic local alignment search tool.
- Prediction of homo- and hetero-protein complexes by protein docking and template-based modeling: a CASP-CAPRI experiment
- Processing and analysis of CASP3 protein structure predictions
- ProQ3: Improved model quality assessments using Rosetta energy terms
- Docking and scoring protein complexes: CAPRI 3rd Edition
- TM-align: a protein structure alignment algorithm based on the TM-score
- Assessment of the model refinement category in CASP12
- MolProbity: all-atom structure validation for macromolecular crystallography
- lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests
Their papers
- Assessment of Protein Model Structure Accuracy Estimation in CASP14: Old and New Challenges (2021) — 51 citations
- GalaxyRefine2: simultaneous refinement of inaccurate local regions and overall protein structure (2019) — 128 citations
- Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment (2021) — 103 citations
- Assessment of Protein Model Structure Accuracy Estimation in CASP13: Challenges in the Era of Deep Learning (2019) — 56 citations