Probing natural molecules with PPAR-γ to reveal potent agonist against Cancer
but.event.date | 23.04.2024 | cs |
but.event.title | STUDENT EEICT 2024 | cs |
dc.contributor.author | Špaková, Adriána | |
dc.contributor.author | Pankaj, Vaishali | |
dc.contributor.author | Bhogal, Inderjeet | |
dc.contributor.author | Roy, Sudeep | |
dc.date.accessioned | 2024-07-09T07:47:47Z | |
dc.date.available | 2024-07-09T07:47:47Z | |
dc.date.issued | 2024 | cs |
dc.description.abstract | The work focuses on searching for a molecule with potential agonistic properties against cancer. Molecules from six databases were screened and docked to peroxisome proliferatoractivated receptor gamma (PPAR-𝛾) by using computer aided drug design approach. Hits underwent further exploration, including dynamic simulation and safety verification. Piperlongumine - naturally occurring small molecule, derived from long pepper (Piper longum) showed after comparison with standards Troglitazone and Rosiglitazone promising results. | en |
dc.format | text | cs |
dc.format.extent | 65-69 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Proceedings II of the 30st Conference STUDENT EEICT 2024: Selected papers. s. 65-69. ISBN 978-80-214-6230-4 | cs |
dc.identifier.doi | 10.13164/eeict.2024.65 | |
dc.identifier.isbn | 978-80-214-6230-4 | |
dc.identifier.issn | 2788-1334 | |
dc.identifier.uri | https://hdl.handle.net/11012/249282 | |
dc.language.iso | en | cs |
dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.relation.ispartof | Proceedings II of the 30st Conference STUDENT EEICT 2024: Selected papers | en |
dc.relation.uri | https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_2.pdf | cs |
dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.rights.access | openAccess | en |
dc.subject | Cancer | en |
dc.subject | PPAR-𝛾 | en |
dc.subject | target | en |
dc.subject | natural molecules | en |
dc.subject | ligand | en |
dc.subject | virtual screening | en |
dc.subject | molecular docking | en |
dc.subject | dynamic simulation | en |
dc.subject | ADMET | en |
dc.title | Probing natural molecules with PPAR-γ to reveal potent agonist against Cancer | en |
dc.type.driver | conferenceObject | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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