activity
20012026
most citedBrownian motion from molecular dynamics

96 citations · 271 across the 20 of their papers we have counts for

collaborators

20 papers

q-bio.QM2026

Smooth MinMax: A Differentiable Relaxation for Codon Harmonization

Yoonho Jeong, Hyunwoo Choi, Ryan Fernandez Medina Hariri +3

Codon harmonization aims to adapt the coding sequences for heterologous expression while preserving the native-like patterns of frequent and rare codons that may influence local tr…

q-bio.QM2025

MOSAIC: Codon Harmonization of Monte Carlo-Based Simulated Annealing for Linked Codons in Heterologous Protein Expression

Yoonho Jeong, Chengcheng Yang, Ryan Fernandez Medina Hariri +6

Codon usage bias has a crucial impact on the translation efficiency and co-translational folding of proteins, necessitating the algorithmic development of codon optimization/harmon…

physics.chem-ph2023

Understanding Dynamics in Coarse-Grained Models: III. Roles of Rotational Motion and Translation-Rotation Coupling in Coarse-Grained Dynamics

Jaehyeok Jin, Eok Kyun Lee, Gregory A. Voth

This paper series aims to establish a complete correspondence between fine-grained (FG) and coarse-grained (CG) dynamics by way of excess entropy scaling (introduced in Paper I). W…

physics.chem-ph2022★ 3 cited

MolNet: A Chemically Intuitive Graph Neural Network for Prediction of Molecular Properties

Yeji Kim, Yoonho Jeong, Jihoo Kim +3

The graph neural network (GNN) has been a powerful deep-learning tool in chemistry domain, due to its close connection with molecular graphs. Most GNN models collect and update ato…

q-bio.BM2020★ 1 cited

InteractionNet: Modeling and Explaining of Noncovalent Protein-Ligand Interactions with Noncovalent Graph Neural Network and Layer-Wise Relevance Propagation

Hyeoncheol Cho, Eok Kyun Lee, Insung S. Choi

Expanding the scope of graph-based, deep-learning models to noncovalent protein-ligand interactions has earned increasing attention in structure-based drug design. Modeling the pro…

physics.chem-ph2019★ 19 cited

Density-Dependent Finite System-Size Effects in Equilibrium Molecular Dynamics Estimation of Shear Viscosity: Hydrodynamic and Configurational Study

Kang-Sahn Kim, Changho Kim, George Em Karniadakis +2

We study the intrinsic nature of the finite system-size effect in estimating shear viscosity of dilute and dense fluids within the framework of the Green-Kubo approach. From extens…