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Title:Iskanje novih zaviralcev, ki preprečujejo vezavo SARS-CoV-2 na neuropilin 1 : magistrsko delo
Authors:ID Serianz, Zala (Author)
ID Bren, Urban (Mentor) More about this mentor... New window
ID Kolarič, Anja (Comentor)
Files:.pdf MAG_Serianz_Zala_2023.pdf (5,32 MB)
MD5: 5D3E6E0F7A1A6179871F88E05831FEDD
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FKKT - Faculty of Chemistry and Chemical Engineering
Abstract:Neuropilin 1 je eden najpomembnejših koreceptorjev vaskularnega endotelijskega rastnega faktorja A. Vključen je v številne fiziološke in patološke procese, med drugim sodeluje pri vezavi virusa SARS-CoV-2. Zaradi nujne potrebe po inovativnih strategijah boja proti virusu SARS-CoV-2 je magistrsko delo usmerjeno na računalniško pot odkrivanja potencialnih zaviralcev neuropilina 1 za preprečevanje vezave virusa SARS-CoV-2. Za uporabo tandemskega pristopa farmakofornega modeliranja in virtualnega rešetanja smo uporabili znano kristalno strukturo neuropilina 1 v kompleksu z zaviralcem EG01377 ter uveljavljene aktivne spojine iz znanstvene literature z določeno stopnjo zaviranja vezave različnih ligandov na neuropilin 1, s čimer smo pridobili dva različna farmakoforna modela. Z uporabo teh modelov pri virtualnem rešetanju smo uspešno identificirali 20 spojin zadetkov kot potencialnih zaviralcev neuropilina 1, ki bi jih bilo potrebno eksperimentalno preveriti za potrditev njihove vezavne afinitete in aktivnosti. Identificirane spojine smo primerjali z že znanimi aktivnimi spojinami za boljši vpogled v njihove strukturne podobnosti in z njimi povezane interakcije ligand-neuropilin 1.
Keywords:Neuropilin 1, SARS-CoV-2, zaviralci, farmakoforno modeliranje, virtualno rešetanje
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[Z. Serianz]
Year of publishing:2023
Number of pages:1 spletni vir (1 datoteka PDF (X, 58 f.))
PID:20.500.12556/DKUM-86184 New window
UDC:577(043.2)
COBISS.SI-ID:185513219 New window
Publication date in DKUM:24.11.2023
Views:752
Downloads:106
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FKKT
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:19.10.2023

Secondary language

Language:English
Title:Search for new inhibitors that prevent SARS-CoV-2 binding to neuropilin 1
Abstract:Neuropilin 1 is one of the most important co-receptors of vascular endothelial growth factor. It is involved in many physiological and pathological processes, including SARS-CoV-2 binding. Due to the urgent need for innovative strategies against SARS-CoV-2, the master thesis focuses on a computational pathway for the discovery of potential neuropilin 1 inhibitors to prevent the binding of SARS-CoV-2 virus. To apply a tandem approach of pharmacophore modelling and virtual screening, we used the known crystal structure of neuropilin 1 in complex with inhibitor EG01377 as well as known active compounds from the scientific literature with a certain degree of inhibition of different ligands binding to neuropilin 1, to obtain two distinct pharmacophore models. Applying these models in the virtual screening, we successfully identified 20 hit compounds as potential inhibitors of neuropilin 1 that should be experimentally tested to confirm their binding affinity and activity. Identified compounds were further compared with already known active compounds to gain additional insight into their structural similarities and associated ligand-NRP1 interactions.
Keywords:Neuropilin 1, SARS-CoV-2, inhibitors, pharmacophore modeling, virtual screening


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