Lim Heo
Molecular Biology · 2012–2021
A researcher in the Science corpus: 11 papers; trusts 76 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 255 citations into it; #2,073 of 17,773 by trust here, #5,350 by citations
- Materials Chemistry — 146 citations into it; #1,392 of 11,513 by trust here, #5,212 by citations
- Computational Biology & Bioinformatics — 80 citations into it
- Computational Theory and Mathematics — 39 citations into it
- Spectroscopy — 27 citations into it; #323 of 1,674 by trust here, #975 by citations
- Cellular and Molecular Neuroscience — 19 citations into it
- Computational Chemistry & Drug Discovery — 9 citations into it; #274 of 425 by trust here, #371 by citations
- Radiology, Nuclear Medicine and Imaging — 9 citations into it; #1,788 of 3,265 by trust here, #2,673 by citations
Whom Lim Heo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael Feig
- Hahnbeom Park
- Johannes Söding
- Yang Zhang
- Justin L. MacCallum
- Andrej Sali
- Milot Mirdita
- Alexander D. MacKerell
- Chaok Seok
- G. Sheldrick
Who trusts Lim Heo overall
- Robin Pearce
- Davide Sala
- Hasup Lee
- Gyu Rie Lee
- Michael Feig
- Ahmad N. Shuid
- Israel T. Desta
- Debswapna Bhattacharya
- Yang Zhang
- Jianyi Yang
Papers from Lim Heo's perspective
Ordered by how strongly the researchers Lim Heo trusts endorse each paper. Same corpus, a different order for every researcher.
- Basic local alignment search tool.
- The Protein Data Bank.
- TM-align: a protein structure alignment algorithm based on the TM-score
- Highly accurate protein structure prediction with AlphaFold
- Assessment of template based protein structure predictions in CASP9
- The other 90% of the protein: Assessment beyond the Cαs for CASP8 template-based and high-accuracy models
- Announcing the worldwide Protein Data Bank
- Protein Structure Prediction Using Rosetta
- HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
- Accurate prediction of protein structures and interactions using a 3-track neural network (Science)
Their papers
- Prediction of homo- and hetero-protein complexes by protein docking and template-based modeling: a CASP-CAPRI experiment (2016) — 130 citations
- The challenge of modeling protein assemblies: the CASP12‐CAPRI experiment (2018) — 84 citations
- Experimental accuracy in protein structure refinement via molecular dynamics simulations (2018) — 66 citations
- GalaxyRefine2: simultaneous refinement of inaccurate local regions and overall protein structure (2019) — 128 citations
- Driven to Near-Experimental Accuracy by Refinement via Molecular Dynamics Simulations (2019) — 31 citations
- GalaxyRefine: protein structure refinement driven by side-chain repacking (2013) — 1,217 citations
- GalaxyWEB server for protein structure prediction and refinement (2012) — 905 citations
- Multi-State Modeling of G-protein Coupled Receptors at Experimental Accuracy (2021) — 181 citations
- GalaxyPepDock: a protein–peptide docking tool based on interaction similarity and energy optimization (2015) — 273 citations
- Structure Refinement of Membrane Proteins via Molecular Dynamics Simulations (2018) — 17 citations
- Protein Loop Modeling Using a New Hybrid Energy Function and Its Application to Modeling in Inaccurate Structural Environments (2014) — 76 citations