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Št. zadetkov: 4
Mechanisms of bisphenol A and its analogs as endocrine disruptors via nuclear receptors and related signaling pathways
Mark Stanojević, Marija Sollner Dolenc
Pregledni znanstveni članek
Oznake: bisphenol A;bisphenol A analogs;endocrine disruption;nuclear receptors;signaling pathways;
Bisphenol A (BPA) is a widely used chemical that is slowly being phased out due to its toxic properties. The industry is therefore looking for alternatives in the form of BPA analogs. However, studies have shown that BPA analogs can have comparable or even stronger endocrine and toxic effects than B ...
Leto: 2025 Vir: Fakulteta za farmacijo (UL FFA)
Predictive models for compound binding to androgen and estrogen receptors based on counter-propagation artificial neural networks
Mark Stanojević, Marija Sollner Dolenc, Marjan Vračko
Izvirni znanstveni članek
Oznake: androgeni receptor;estrogenski receptor;endokrine motnje;protipropagacijske umetne nevronske mreže;
Endocrine-disrupting chemicals (EDCs) are exogenous substances that interfere with the normal function of the human endocrine system. These chemicals can affect specific nuclear receptors, such as androgen receptors (ARs) or estrogen receptors (ER) α and β, which play a crucial role in regulating co ...
Leto: 2023 Vir: Fakulteta za farmacijo (UL FFA)
Development of in silico classification models for binding affinity to the glucocorticoid receptor
Mark Stanojević, Marjan Vračko, Marija Sollner Dolenc
Izvirni znanstveni članek
Oznake: endocrine disruptions;binding to glucocorticoid receptor;In silico classification;counterpropagation artificial neural networks;DRAGON descriptors;
The endocrine disrupting properties of chemicals acting through the glucocorticoid receptor (GR) have attracted considerable interest. Since there are few data for most chemicals on their endocrine properties in silico approaches seem to be the most appropriate tool for screening and prioritizing ch ...
Leto: 2023 Vir: Fakulteta za farmacijo (UL FFA)
Vrednotenje in razvoj in silico modelov za napovedovanje vezave spojin na izbrane jedrne hormonske receptorje
Mark Stanojević, Marija Sollner Dolenc, Marjan Vračko Grobelšek
Doktorska disertacija
Oznake: motilci endokrinega sistema;CPANN;in silico;estrogeni receptorj;androgeni receptorj;receptor tiroidnega hormona;glukokortikoidni receptor;
V raziskavah v sklopu doktorske disertacije smo se posvetili preučevanju računalniških modelov za napovedovanje motilcev endokrinega sistema (MES) prek vezave na izbrane jedrne receptorje (androgeni, estrogeni in glukokortikoidni receptorji ter receptorji za tiroidne hormone). V prvem delu doktorske ...
Leto: 2024 Vir: Fakulteta za farmacijo (UL FFA)
Št. zadetkov: 4
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