Dataset Information

Understanding asymmetric synergistic effect between movie actors.

ABSTRACT: Synergistic effects between movie actors have been regarded as an important indicator when they are casted in a new movie. People simply assume that synergistic effect is symmetric. The aim of this study is to understand the asymmetric synergy between actors. We propose an asymmetric synergy measurement method for actor's star-power-based costarring movies to understand the synergistic effect. When measuring the synergy, we designed it so that it would be possible to measure the synergy that varies with the time of the costarring movie's release and the synergy of new actors. Measured synergies were analyzed on an actor's synergy and asymmetric synergy between actors to examine the characteristics of highly synergistic actors and the asymmetric synergy between actors. Moreover, we confirmed that measuring synergies asymmetrically demonstrated better prediction performance in various evaluation metrics (accuracy, precision, recall, and F1-score) than measuring synergies symmetrically through the synergy prediction experiment using synergy and asymmetric synergy.

SUBMITTER: Ko J

PROVIDER: S-EPMC10118101 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Understanding asymmetric synergistic effect between movie actors.

Ko JeongRyun J Jung Jason J JJ

PloS one 20230420 4

Synergistic effects between movie actors have been regarded as an important indicator when they are casted in a new movie. People simply assume that synergistic effect is symmetric. The aim of this study is to understand the asymmetric synergy between actors. We propose an asymmetric synergy measurement method for actor's star-power-based costarring movies to understand the synergistic effect. When measuring the synergy, we designed it so that it would be possible to measure the synergy that var ...[more]

PMID: 37079545

Similar Datasets

Project description:A significant challenge associated with systemic delivery of cationic antimicrobial peptides and polymers lies in their limited hemocompatibility toward vast numbers of circulating red blood cells (RBCs). Supramolecular assembly of cationic peptides and polymers can be an effective strategy to develop an array of antimicrobial nanomaterials with tunable material structures, stability and thus optimized bioactivity to overcome some of the existing challenges associated with conventional antimicrobials. In this work, we will demonstrate the supramolecular design of self-assembling antimicrobial nanofibers (SAANs) which have tunable supramolecular nanostructures, stability, internal molecular packing and surface chemistry through self-assembly of de novo designed cationic peptides and peptide-PEG conjuguates. The interaction of the SAANs with human RBCs was evaluated in a stringent biological assay (beyond a traditional hemolysis assay) where both hemolytic and eryptotic activity were examined to establish a fundamental understanding on the correlation between material structure and hemocompatibility. It was found that although the SAANs showed moderate hemolytic activities, their abilities to induce eryptosis vary significantly and are much more sensitive to the internal molecular packing, supramolecular nanostructure and stability of the nanofiber. Improved hemocompatibility requires PEGylation on stable supramolecular nanofibers composed of highly organized β-sheet structure while PEG conjugation on weakly packed nanofibers composed of partially denatured β-sheets did not show improvement. The current study reveals the fundamental mechanism involved in the selective hemocompatibility improvement of the SAANs upon PEG conjugation. The structure-activity relationship developed in this study will provide important guidance for the future design of a broader family of peptide and polymer-based assemblies with optimized antimicrobial activity and hemocompatibility.

Dataset Information

Understanding asymmetric synergistic effect between movie actors.

Publications

Understanding asymmetric synergistic effect between movie actors.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets