Institution
Korea University
Education•Seoul, South Korea•
About: Korea University is a education organization based out in Seoul, South Korea. It is known for research contribution in the topics: Population & Thin film. The organization has 39756 authors who have published 82424 publications receiving 1860927 citations. The organization is also known as: Bosung College & Bosung Professional College.
Topics: Population, Thin film, Catalysis, Large Hadron Collider, Cancer
Papers published on a yearly basis
Papers
More filters
••
TL;DR: A new tool for intracellular delivery of target proteins, named ‘exosomes for protein loading via optically reversible protein–protein interactions’ (EXPLORs), which is able to successfully load cargo proteins into newly generated exosomes using optogenetic control of protein-protein interactions between the cargo and an exosome-localized partner.
Abstract: Nanoparticle-mediated delivery of functional macromolecules is a promising method for treating a variety of human diseases. Among nanoparticles, cell-derived exosomes have recently been highlighted as a new therapeutic strategy for the in vivo delivery of nucleotides and chemical drugs. Here we describe a new tool for intracellular delivery of target proteins, named 'exosomes for protein loading via optically reversible protein-protein interactions' (EXPLORs). By integrating a reversible protein-protein interaction module controlled by blue light with the endogenous process of exosome biogenesis, we are able to successfully load cargo proteins into newly generated exosomes. Treatment with protein-loaded EXPLORs is shown to significantly increase intracellular levels of cargo proteins and their function in recipient cells in vitro and in vivo. These results clearly indicate the potential of EXPLORs as a mechanism for the efficient intracellular transfer of protein-based therapeutics into recipient cells and tissues.
381 citations
••
TL;DR: The results suggest that Instagram users have five primary social and psychological motives: social interaction, archiving, self-expression, escapism, and peeking.
Abstract: While Instagram, the rising photo-sharing social networking service, has received increasing attention from scholars and practitioners, little is known about the social and psychological factors that lead consumers to become fanatics of this app. To provide a baseline understanding of Instagram users, the current study aims to uncover the structural dimensions of consumers' motives for using Instagram and to explore the relationships between identified motivations and key attitudinal and behavioral intention variables. A comprehensive survey was developed in which a total of 212 Instagram users evaluated their motivation, primary activities, use intention, and attitude regarding Instagram. The results suggest that Instagram users have five primary social and psychological motives: social interaction, archiving, self-expression, escapism, and peeking. The implications of this study's findings are discussed.
381 citations
••
TL;DR: Recent ML methods for molecular simulation are reviewed, with particular focus on (deep) neural networks for the prediction of quantum-mechanical energies and forces, on coarse-grained molecular dynamics, on the extraction of free energy surfaces and kinetics, and on generative network approaches to sample molecular equilibrium structures and compute thermodynamics.
Abstract: Machine learning (ML) is transforming all areas of science. The complex and time-consuming calculations in molecular simulations are particularly suitable for an ML revolution and have already been profoundly affected by the application of existing ML methods. Here we review recent ML methods for molecular simulation, with particular focus on (deep) neural networks for the prediction of quantum-mechanical energies and forces, on coarse-grained molecular dynamics, on the extraction of free energy surfaces and kinetics, and on generative network approaches to sample molecular equilibrium structures and compute thermodynamics. To explain these methods and illustrate open methodological problems, we review some important principles of molecular physics and describe how they can be incorporated into ML structures. Finally, we identify and describe a list of open challenges for the interface between ML and molecular simulation.
379 citations
••
TL;DR: This review discusses different approaches to improve enzyme stability in various materials such as nanoparticles, nanofibers, mesoporous materials, sol–gel silica, and alginate‐based microspheres to be environmental friendly, inexpensive, and easy to use for enzyme‐based industrial applications.
Abstract: Immobilization is a key technology for successful realization of enzyme-based industrial processes, particularly for production of green and sustainable energy or chemicals from biomass-derived catalytic conversion. Different methods to immobilize enzymes are critically reviewed. In principle, enzymes are immobilized via three major routes (i) binding to a support, (ii) encapsulation or entrapment, or (iii) cross-linking (carrier free). As a result, immobilizing enzymes on certain supports can enhance storage and operational stability. In addition, recent breakthroughs in nano and hybrid technology have made various materials more affordable hosts for enzyme immobilization. This review discusses different approaches to improve enzyme stability in various materials such as nanoparticles, nanofibers, mesoporous materials, sol–gel silica, and alginate-based microspheres. The advantages of stabilized enzyme systems are from its simple separation and ease recovery for reuse, while maintaining activity and selectivity. This review also considers the latest studies conducted on different enzymes immobilized on various support materials with immense potential for biosensor, antibiotic production, food industry, biodiesel production, and bioremediation, because stabilized enzyme systems are expected to be environmental friendly, inexpensive, and easy to use for enzyme-based industrial applications.
379 citations
••
TL;DR: Investigating how an e-government system for anti-corruption in a local government has evolved and become a prototype of a national system to be used for the same purpose shows that the regulatory dimension was most effective, and strong leadership was crucial to its success.
379 citations
Authors
Showing all 40083 results
Name | H-index | Papers | Citations |
---|---|---|---|
Anil K. Jain | 183 | 1016 | 192151 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
Yongsun Kim | 156 | 2588 | 145619 |
Jongmin Lee | 150 | 2257 | 134772 |
Byung-Sik Hong | 146 | 1557 | 105696 |
Daniel S. Berman | 141 | 1363 | 86136 |
Christof Koch | 141 | 712 | 105221 |
David Y. Graham | 138 | 1047 | 80886 |
Suyong Choi | 135 | 1495 | 97053 |
Rudolph E. Tanzi | 135 | 638 | 85376 |
Sung Keun Park | 133 | 1567 | 96933 |
Tae Jeong Kim | 132 | 1420 | 93959 |
Robert S. Brown | 130 | 1243 | 65822 |
Mohammad Khaja Nazeeruddin | 129 | 646 | 85630 |
Klaus-Robert Müller | 129 | 764 | 79391 |