S
Sunhwan Jo
Researcher at Argonne National Laboratory
Publications - 65
Citations - 14901
Sunhwan Jo is an academic researcher from Argonne National Laboratory. The author has contributed to research in topics: Molecular dynamics & Glycan. The author has an hindex of 27, co-authored 64 publications receiving 9299 citations. Previous affiliations of Sunhwan Jo include University of Pennsylvania & University of Kansas.
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Book ChapterDOI
Molecular dynamics simulations of glycoproteins using CHARMM
TL;DR: This work outlines the recent developments in the CHARMM carbohydrate force field to treat glycoproteins and describes in detail the step-by-step procedures involved in building glycoprotein geometries using CHARMM-GUI Glycan Reader.
Journal ArticleDOI
An ensemble dynamics approach to decipher solid-state NMR observables of membrane proteins.
Wonpil Im,Sunhwan Jo,Taehoon Kim +2 more
TL;DR: Computational methods for determining transmembrane helix orientations are discussed, and the distributions of VpuTM and WALP23 (a synthetic peptide) orientations from SSNMR-ED simulations are compared with those from MD simulations and semi-static/dynamic fitting models to illustrate that SSNRT-ED can be used as a general means to extract both membrane protein structure and dynamics from the SSN MR measurements.
Journal ArticleDOI
Lipid-Linked Oligosaccharides in Membranes Sample Conformations That Facilitate Binding to Oligosaccharyltransferase
Nathan R. Kern,Hui Sun Lee,Emilia L. Wu,Soohyung Park,Kenno Vanommeslaeghe,Alexander D. MacKerell,Jeffery B. Klauda,Sunhwan Jo,Wonpil Im +8 more
TL;DR: Molecular docking of the bacterial LLO to a bacterial OST suggests that such orientations can enhance binding of LLOs to OST.
Journal ArticleDOI
NMR-based simulation studies of Pf1 coat protein in explicit membranes.
TL;DR: This work has performed NMR-restrained molecular dynamics simulations to refine the structure of the membrane-bound form of Pf1 coat protein in explicit lipid bilayers using the recently measured chemical shift anisotropy, dipolar coupling, and residual dipolars coupling data.
Journal ArticleDOI
Exploring protein-protein interactions using the site-identification by ligand competitive saturation methodology.
TL;DR: While more computationally demanding than available PPI docking technologies, it is anticipated that the SILCS‐PPI docking approach will offer an alternative methodology for improved evaluation of PPIs that could be used in a variety of fields from systems biology to excipient design for biologics‐based drugs.