0000000000269549

AUTHOR

Simona

showing 2 related works from this author

Multi-scale structural analysis of xyloglucan colloidal dispersions and hydro-alcoholic gels

2020

Xyloglucans are highly branched, hydroxyl rich polyglucans that for their abundance in nature, biocompatibility, film forming and gelation ability may take a prominent role in the design and fabrication of biomedical devices, including in situ forming scaffolds for tissue engineering, wound dressings and epidermal sensors. The understanding and exploitation of their self-assembly behavior is key for the device performance optimization. A multi-scale analysis, conducted combining small-angle X-ray scattering, both static and dynamic light scattering at large and small angles, and rheological measurements, provides a description of the supramolecular organization of this biopolymer, from the …

Materials scienceFabricationPolymers and PlasticsBiocompatibilitySupramolecular chemistry02 engineering and technologyengineering.material010402 general chemistry01 natural scienceschemistry.chemical_compoundColloidDynamic light scatteringRheologyRHEOLOGYSupramolecular structureXyloglucanDYNAMIC LIGHT-SCATTERINGHydrogelsSelf-assembly021001 nanoscience & nanotechnologyGELATION0104 chemical sciencesXyloglucanHydrogelchemistryChemical engineeringengineeringSettore CHIM/07 - Fondamenti Chimici Delle TecnologieBiopolymer0210 nano-technology
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Experimental evaluation of topological-based fitness functions to detect complexes in PPI networks

2012

The detection of groups of proteins sharing common biological features is an important research issue, intensively investigated in the last few years, because of the insights it can give in understanding cell behavior. In this paper we present an extensive experimental evaluation campaign aiming at exploring the capability of Genetic Algorithms (GAs) to find clusters in protein-protein interaction networks, when different topological-based fitness functions are employed. A complete experimentation on the yeast protein-protein interaction network, along with a comparative evaluation of the effectiveness in detecting true complexes on the yeast and human networks, reveals GAs as a feasible an…

business.industryComputer scienceCellMachine learningcomputer.software_genreTopologyYeastBioinformatics network analysisComputingMethodologies_PATTERNRECOGNITIONmedicine.anatomical_structureInteraction networkGenetic algorithmmedicineArtificial intelligencebusinesscomputerProceedings of the 14th annual conference on Genetic and evolutionary computation
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