Search results for "Cdc2"

showing 3 items of 33 documents

Localization of HSP70, Cdc2, and cyclin B in sea urchin oocytes in non-stressed conditions.

2003

In Paracentrotus lividus embryos, a Mediterranean sea urchin species, HSP70 is present in all the cells. During cell division it localizes under normal growth conditions on the centrosomes and on the whole isolated mitotic apparatus. Now, in situ hybridization, Western blot analyses, and immunohistochemistry show that the HSP70 mRNA is present in both small and large P. lividus oocytes, that all four isoforms of HSP70 can be found also in the oocytes, and that a certain amount of HSP70 localizes on asters and spindles during polar body formation. Moreover, two representative cell-cycle related proteins, cyclin B, and Cdc2, are present both in small and large oocytes, concentrating in the ge…

Sea urchinCell divisionBlotting WesternBiophysicsCyclin BCdc2In situ hybridizationCyclin BBiochemistryParacentrotus lividusPolar bodybiology.animalCDC2 Protein KinaseAnimalsProtein IsoformsHSP70 Heat-Shock ProteinsRNA MessengerSea urchinMolecular BiologyHSP70In Situ HybridizationCyclin-dependent kinase 1biologyOvaryCell Biologybiology.organism_classificationMolecular biologyImmunohistochemistryCell biologyOogenesiBiophysicCytoplasmSea Urchinsbiology.proteinOocytesElectrophoresis Polyacrylamide GelFemaleCell DivisionBiochemical and biophysical research communications
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EMBER—Embedding Multiple Molecular Fingerprints for Virtual Screening

2022

In recent years, the debate in the field of applications of Deep Learning to Virtual Screening has focused on the use of neural embeddings with respect to classical descriptors in order to encode both structural and physical properties of ligands and/or targets. The attention on embeddings with the increasing use of Graph Neural Networks aimed at overcoming molecular fingerprints that are short range embeddings for atomic neighborhoods. Here, we present EMBER, a novel molecular embedding made by seven molecular fingerprints arranged as different “spectra” to describe the same molecule, and we prove its effectiveness by using deep convolutional architecture that assesses ligands&…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniBinding SitesMolecular StructureDeep learning Drug design Embedding Virtual screeningResearchOrganic ChemistryGeneral MedicineLigandsCatalysisComputer Science ApplicationsInorganic ChemistryCDC2 Protein KinaseDrug DiscoveryMass Screeningdeep learning; drug design; virtual screening; embeddingNeural Networks ComputerPhysical and Theoretical ChemistryProtein KinasesMolecular BiologySpectroscopy
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Correlation between cell line chemosensitivity and protein expression pattern as new approach for the design of targeted anticancer small molecules

2022

BACKGROUND AND RATIONALE: Over the past few decades, several databases with a significant amount of biological data related to cancer cells and anticancer agents (e.g.: National Cancer Institute database, NCI; Cancer Cell Line Encyclopedia, CCLE; Genomic and Drug Sensitivity in Cancer portal, GDSC) have been developed. The huge amount of heterogeneous biological data extractable from these databanks (among all, drug response and protein expression) provides a real foundation for predictive cancer chemogenomics, which aims to investigate the relationships between genomic traits and the response of cancer cells to drug treatment with the aim to identify novel therapeutic molecules and targets…

antiproliferative activitychemosensitivityCdc25structure-basedligand-basedanticancer drugtargeted therapyprotein expressionDRUDITNCI60Settore CHIM/08 - Chimica Farmaceutica
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