Results 91 to 100 of about 8,084,139 (305)
High-order correlation has recently been proposed to model brain functional connectivity network (FCN) for identifying neurological disorders, such as mild cognitive impairment (MCI) and autism spectrum disorder (ASD).
Yueying Zhou +6 more
doaj +1 more source
ENHANCEMENT IN REVISITING DYNAMIC QUERY PROTOCOL IN UNSTRUCTURED PEER-TO-PEER NETWORK [PDF]
The Peer to peer architecture run over internet are widely used in unstructured topology. Random walk based and control flooding resource query algorithms are widely used in peer to peer network.
WAKODE, MADHURI +3 more
core +1 more source
Emerging experimental and computational methods for studying redox‐regulated structural transitions
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav +2 more
wiley +1 more source
Researchers have become increasingly interested in disentangling selection and influence processes. This literature review provides context for the special issue on network–behavior dynamics. It brings together important conceptual, methodological, and empirical contributions focusing on longitudinal social network modeling.
Veenstra, René +3 more
openaire +3 more sources
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
A CSGNN model-based method for essential protein identification
Identification of essential proteins is fundamental for understanding cellular processes and disease mechanisms. However, many existing computational methods do not adequately model dynamic expression activity and often underutilize global network ...
Zixuan Li, Zhiguo Yu, Peng Li
doaj +1 more source
Dynamic R&D Incentives with Network Externalities [PDF]
This dissertation analyzes the impact of network externalities on R&D competition in an oligopolistic industry. It focuses on the level of R&D investments, the social efficiency of those efforts and the role of networks compatibility.
Cerquera, Daniel
core
The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge +6 more
wiley +1 more source
Analysis of dynamic traffic models and assignments [PDF]
This paper develops a comprehensive framework for analysing and solving traffic models and assignments in dynamic setting. Traffic models capture the time-varying travel times and flows on a road network and traffic assignments represent the ...
Chow, A.H.F., Andy H. F. Chow
core

