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Nathan R. Kern
Researcher at Lehigh University
Publications - 13
Citations - 1005
Nathan R. Kern is an academic researcher from Lehigh University. The author has contributed to research in topics: Protein structure prediction & Viral membrane. The author has an hindex of 7, co-authored 10 publications receiving 454 citations. Previous affiliations of Nathan R. Kern include University of Kansas.
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Journal ArticleDOI
CHARMM-GUI Membrane Builder for Complex Biological Membrane Simulations with Glycolipids and Lipoglycans.
Jumin Lee,Dhilon S. Patel,Jonas Ståhle,Sang-Jun Park,Nathan R. Kern,Seonghoon Kim,Joonseong Lee,Xi Cheng,Miguel A. Valvano,Otto Holst,Yuriy A. Knirel,Yifei Qi,Sunhwan Jo,Jeffery B. Klauda,Göran Widmalm,Wonpil Im +15 more
TL;DR: These tools are expected to be useful in innovative and novel glycolipid/LPS/LOS modeling and simulation research by easing tedious and intricate steps in modeling complex biological systems and shall provide insight into structures, dynamics, and underlying mechanisms of complex glycolIPid-/ LPS-/LOS-containing biological membrane systems.
Journal ArticleDOI
Developing a Fully-glycosylated Full-length SARS-CoV-2 Spike Protein Model in a Viral Membrane.
Hyeonuk Woo,Sang-Jun Park,Yeol Kyo Choi,Taeyong Park,Maham Tanveer,Yiwei Cao,Nathan R. Kern,Jumin Lee,Min Sun Yeom,Tristan I. Croll,Chaok Seok,Wonpil Im,Wonpil Im +12 more
TL;DR: This technical study describes all-atom modeling and simulation of a fully glycosylated full-length SARS-CoV-2 spike (S) protein in a viral membrane and makes structures available in CHARMM-GUI COVID-19 Archive so that researchers can use these models to carry out innovative and novel modeling andsimulation research for the prevention and treatment of CO VID-19.
Journal ArticleDOI
CHARMM-GUI Glycan Modeler for modeling and simulation of carbohydrates and glycoconjugates
Sang-Jun Park,Jumin Lee,Yifei Qi,Nathan R. Kern,Hui Sun Lee,Sunhwan Jo,InSuk Joung,Keehyung Joo,Jooyoung Lee,Wonpil Im +9 more
TL;DR: A computational tool, Glycan Modeler for in silico N-/O-glycosylation of the target protein and generation of carbohydrate-only systems and the structural properties of modeled glycan structures investigated by running 2-μs molecular dynamics simulations of HIV envelope protein.
Journal ArticleDOI
CHARMM-GUI supports the Amber force fields
TL;DR: The development of FF-Converter is presented to prepare Amber simulation inputs with various Amber force fields within the current CHARMM-GUI workflow to support other simulation programs that support the Amber force field.
Posted ContentDOI
Modeling and Simulation of a Fully-glycosylated Full-length SARS-CoV-2 Spike Protein in a Viral Membrane
Hyeonuk Woo,Sang-Jun Park,Yeol Kyo Choi,Taeyong Park,Maham Tanveer,Yiwei Cao,Nathan R. Kern,Jumin Lee,Min Sun Yeom,Tristan I. Croll,Chaok Seok,Wonpil Im,Wonpil Im +12 more
TL;DR: In this article, a fully-glycosylated full-length SARS-CoV-2 spike (S) protein in a viral membrane was modeled using template-based modeling, de-novo protein structure prediction, and loop modeling techniques in GALAXY.