Results 51 to 60 of about 942,096 (280)
Edge Weight Based Entropy of Different Topologies of Carbon Nanotubes
IEEE Access, 2021 The measure or determination of uncertainty of a system is known as entropy. After the rich idea of entropy, it gains attraction and interest in graph theory, due to its applications in applied mathematical chemistry.
Xuewu Zuo +3 more
doaj +1 more source
Translophagy—A potential link between autophagy impairment and translational errors
FEBS Letters, EarlyView.Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk +11 more
wiley +1 more source
Low Entropy Sub-Networks Prevent the Integration of Metabolomic and Transcriptomic Data
Entropy, 2020 The constantly and rapidly increasing amount of the biological data gained from many different high-throughput experiments opens up new possibilities for data- and model-driven inference.
Krzysztof Gogolewski +2 more
doaj +1 more source
Prospecting the protein design landscape
FEBS Letters, EarlyView.This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source
A network model of interpersonal alignment in dialog [PDF]
, 2010 In dyadic communication, both interlocutors adapt to each other linguistically, that is, they align interpersonally. In this article, we develop a framework for modeling interpersonal alignment in terms of the structural similarity of the interlocutors ...
Lücking, Andy +8 more
core +1 more source
Dispersion entropy: A Measure of Irregularity for Graph Signals [PDF]
, 2023 We introduce a novel method, called Dispersion Entropy for Graph Signals, $DE_G$, as a powerful tool for analysing the irregularity of signals defined on graphs.
Fabila-Carrasco, John Stewart +2 more
core +1 more source
Statistics and Calculation of Entropy of Dominating David Derived Networks
Complexity, 2021 A graph’s entropy is a functional one, based on both the graph itself and the distribution of probability on its vertex set. In the theory of information, graph entropy has its origins.
Xuemei Zhao +5 more
doaj +1 more source
A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma
FEBS Letters, EarlyView.Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos +9 more
wiley +1 more source
Unsupervised Detection of Changes in Usage-Phases of a Mobile App
Applied Sciences, 2020 Under the fierce competition and budget constraints, most mobile apps are launched without sufficient tests. Thus, there exists a great demand for automated app testing.
Hoyeol Chae +2 more
doaj +1 more source
Neutralization of the PTX3/CD44 axis suppresses TGF‐β1 signaling in kidney fibrosis
FEBS Letters, EarlyView.This study investigates how the PTX3/CD44 axis promotes kidney fibrosis by activating TGF‐β1 signaling. We demonstrate that the neutralizing antibody WHC‐001 effectively inhibits this pathway, suppressing myofibroblast activation and partial epithelial–mesenchymal transition (EMT).
Chao‐Chun Cheng +8 more
wiley +1 more source