About: Lim Heo

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

researcher ORCID ID = 0000-0002-3153-2363

Attributes	Values
rdf:type	Item
description	forskare (sv) 연구원 (ko) 研究者 (ja) araştırmacı (tr) wetenschapper (nl) дослідник (uk) वैज्ञानिक (hi) باحت (ary) изилдөөчү (ky) 研究者 (zh) researcher ORCID ID = 0000-0002-3153-2363 (en)
rdfs:label	Lim Heo (en) Lim Heo (es) Lim Heo (nl) Lim Heo (ast) 허림 (ko)
skos:prefLabel	Lim Heo (en) Lim Heo (es) Lim Heo (nl) Lim Heo (ast) 허림 (ko)
name	Lim Heo (en) Lim Heo (es) Lim Heo (nl) Lim Heo (ast) 허림 (ko)
Scopus author ID	wds:Q59660061-B0BD26B1-8A5D-4C1D-9A7A-63720951D583
Scopus author ID	53163669100
given name	wds:Q59660061-599a8dd7-4556-8cb1-1a4a-1cec04a9d76f
given name	Rim
instance of	wds:Q59660061-31A70463-3C66-4886-9C00-D6CC3DC33C2D
instance of	Homo sapiens
doctoral advisor	wds:Q59660061-6d0a7ec3-484b-d4cb-59b9-795f569d2715
Google Knowledge Graph ID	wds:Q59660061-7a3a4d78-4394-b992-6ef5-0b71f68ff2e6 wds:Q59660061-d6b49531-49be-361d-d8de-2c6124ddb83f
Google Knowledge Graph ID	http://g.co/kg/g/11h64qjp16 http://g.co/kg/g/11kyssd9c4
doctoral advisor	Chaok Seok
Google Knowledge Graph ID	/g/11h64qjp16 /g/11kyssd9c4
Google Scholar author ID	wds:Q59660061-f4373d01-4253-9691-ae49-dfc03f44b530
Google Scholar author ID	73JdVH0AAAAJ
occupation	wds:Q59660061-CF8635E0-65C1-4C97-8C46-D6683E8C15BA
employer	wds:Q59660061-47693071-790A-419C-BEBD-86CDF29F0443 wds:Q59660061-A598CDB6-F576-4945-9AE0-1ACE0075B6AA
sex or gender	wds:Q59660061-26847cf7-443a-6a00-1a07-12eeaaa5cb3f
DBLP author ID	wds:Q59660061-9286d5ce-4f28-23d1-7651-f16555bb6362
country of citizenship	wds:Q59660061-c4409d0a-4301-ce3e-240e-c935c442530d
on focus list of Wikimedia project	wds:Q59660061-8DC134D0-8DC9-49D8-AC86-C68D0979F204
educated at	wds:Q59660061-5B4A2D20-615B-46B6-BF0D-DF5FB0F61463 wds:Q59660061-9178D360-E17B-4F3B-B7E1-EBC885FB18C3
family name	wds:Q59660061-c01d8671-41b7-8855-e13d-378410760bd0
DBLP author ID	https://dblp.org/pid/96/10356.rdf
occupation	researcher
employer	Michigan State University Seoul National University
sex or gender	male
DBLP author ID	96/10356
country of citizenship	Korea
on focus list of Wikimedia project	WikiProject COVID-19
educated at	Seoul National University
family name	Heo
ORCID iD	wds:Q59660061-62BAE012-1EA4-4A38-BC30-A07644A4A125
ORCID iD	https://orcid.org/0000-0002-3153-2363
ORCID iD	0000-0002-3153-2363
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q59660061
is author of	Alternative zinc-binding sites explain the redox sensitivity of zinc-containing anti-sigma factors Protein loop modeling using a new hybrid energy function and its application to modeling in inaccurate structural environments. Prediction of homoprotein and heteroprotein complexes by protein docking and template-based modeling: A CASP-CAPRI experiment GalaxyHomomer: a web server for protein homo-oligomer structure prediction from a monomer sequence or structure GalaxyWEB server for protein structure prediction and refinement GalaxyRefineComplex: Refinement of protein-protein complex model structures driven by interface repacking GalaxyPepDock: a protein-peptide docking tool based on interaction similarity and energy optimization GalaxyRefine: Protein structure refinement driven by side-chain repacking Factors affecting redox potential and differential sensitivity of SoxR to redox-active compounds LigDockCSA: protein-ligand docking using conformational space annealing. Effective protein model structure refinement by loop modeling and overall relaxation GalaxySite: ligand-binding-site prediction by using molecular docking An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12. Modeling Protein Homo-Oligomer Structures with GalaxyHomomer Web Server The challenge of modeling protein assemblies: The CASP12-CAPRI experiment. What makes it difficult to refine protein models further via molecular dynamics simulations? Simultaneous refinement of inaccurate local regions and overall structure in the CASP12 protein model refinement experiment. GalaxyRefine2: simultaneous refinement of inaccurate local regions and overall protein structure PREFMD: a web server for protein structure refinement via molecular dynamics simulations. Modeling of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Proteins by Machine Learning and Physics-Based Refinement High-accuracy protein structures by combining machine-learning with physics-based refinement Driven to near-experimental accuracy by refinement via molecular dynamics simulations Binding Site Prediction of Proteins with Organic Compounds or Peptides Using GALAXY Web Servers. Experimental accuracy in protein structure refinement via molecular dynamics simulations ColabFold: making protein folding accessible to all Structure of vaccinia virus A46, an inhibitor of TLR4 signaling pathway, shows the conformation of VIPER motif Structure refinement of membrane proteins via molecular dynamics simulations Direct generation of protein conformational ensembles via machine learning New molecular interaction of IIA(Ntr) and HPr from Burkholderia pseudomallei identified by X-ray crystallography and docking studies Multi‐state modeling of G‐protein coupled receptors at experimental accuracy
is author of	wds:Q30400859-BA2F58E9-956A-455B-B753-634C3FDFBB48 wds:Q35810303-E5F27B95-841F-4D16-94E1-B622FB4FE17B wds:Q46102425-A6DBC86F-C059-455E-85DD-30836C4389B6

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