Results 101 to 110 of about 6,507,474 (284)
FEBS Open Bio, EarlyView.We describe detailed protocols for the purification and preparation of Marchantia polymorpha Auxin Response Factor 2 (MpARF2). This protein is fused to an MBP solubility tag and an mNG fluorescent tag and is purified from Escherichia coli. The presented procedures make it possible to study MpARF2 assemblies, which could arise from phase separation ...
Bas Janssen +5 more
wiley +1 more source
An Efficient Influence Maximization Algorithm Based on Clique in Social Networks
IEEE Access, 2019 Influence Maximization is to find a subset of influential nodes so that they can spread influence to the largest range in a network. The study on influence maximization is of great importance, and many solutions have been developed, including greedy ...
Huan Li +3 more
doaj +1 more source
Real-Time Influence Maximization in a RTB Setting
Data Science and Engineering, 2020 To maximize the impact of an advertisement campaign on social networks, the real-time bidding (RTB) systems aim at targeting the most influential users of this network. Influence maximization (IM) is a solution that addresses this issue by maximizing the
David Dupuis +3 more
doaj +1 more source
Protocol for quantifying miRNA trafficking across the endosomal membrane
FEBS Open Bio, EarlyView.An in vitro protocol measures miRNA uptake into endosomes isolated from mammalian cell extracts, which are free of subcellular contaminants. Performed at 37 °C in the presence of ATP, it ensures the import of single‐stranded miRNA into the endosomal lumen.
Syamantak Ghosh +2 more
wiley +1 more source
Heterotropic regulation and negative homotropic cooperativity
FEBS Open Bio, EarlyView.We identified a structural module common to some proteins that couple negative cooperativity with heterotropic regulation, two features that rarely coexist. These proteins are ring‐like and present an ordered asymmetry whereby noncontacting subunits are symmetric, and their tertiary structure differs from that of contacting subunits.
Veronica Morea +5 more
wiley +1 more source
FEBS Open Bio, EarlyView.In this study, a novel esterase from the thermoacidophilic archaeon Thermoplasma acidophilum was biochemically and structurally characterized. Our results demonstrate that Ta0887 is a highly thermostable esterase that preferentially hydrolyzes p‐nitrophenyl hexanoate and possesses an α‐helical cap domain that likely contributes to its substrate ...
Alejandro Delgado‐Rey +4 more
wiley +1 more source
Competitive Influence Maximization in Trust-Based Social Networks With Deep Q-Learning
Studia Universitatis Babes-Bolyai: Series InformaticaSocial network analysis is a rapidly evolving research area having several real-life application areas, e.g. digital marketing, epidemiology, spread of misinformation.
Anikó KOPACZ
doaj +1 more source
When can overambitious seeding cost you?
Applied Network Science, 2019 In the classic “influence-maximization” (IM) problem, people influence one another to adopt a product and the goal is to identify people to “seed” with the product so as to maximize long-term adoption.
Shankar Iyer, Lada A. Adamic
doaj +1 more source
FEBS Open Bio, EarlyView.This minireview explores fluorination as a key strategy to optimize therapeutic molecules and nanocarriers. By incorporating different fluorinated motifs—from single atoms to linear and branched chains—drug delivery, cellular uptake, and colloidal stability can be improved and fine‐tuned.
Martina Beccalli +2 more
wiley +1 more source
Influence Maximization in Independent Cascade Networks Based on Activation Probability Computation
IEEE Access, 2019 Based on the concepts of “word-of-mouth” effect and viral marketing, the diffusion of an innovation may be triggered starting from a set of initial users. Estimating the influence spread is a preliminary step to determine a suitable or even
Wenjing Yang +2 more
doaj +1 more source