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Pregled bibliografske jedinice broj: 1187364

Structure-based Molecular Docking in the Identification of Novel Inhibitors Targeting SARS-CoV-2 Main Protease


Miletić, Vedran; Nikolić, Patrik; Kinkela, Dominik
Structure-based Molecular Docking in the Identification of Novel Inhibitors Targeting SARS-CoV-2 Main Protease // 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO)
Opatija: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2021. str. 435-440 doi:10.23919/MIPRO52101.2021.9596660 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1187364 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Structure-based Molecular Docking in the Identification of Novel Inhibitors Targeting SARS-CoV-2 Main Protease

Autori
Miletić, Vedran ; Nikolić, Patrik ; Kinkela, Dominik

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO) / - Opatija : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2021, 435-440

ISBN
978-953-233-101-1

Skup
44th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2021)

Mjesto i datum
Opatija, Hrvatska, 27.09.2021. - 01.10.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
SARS-CoV-2 Mpro ; natural products ; antiviral compounds ; inhibitors ; RxDock ; molecular docking ; high-throughput virtual screening ; commercial compound databases ; RDKit

Sažetak
There have been several studies of natural compounds used as SARS-CoV-2 inhibitors. Among those, we selected the most viable natural anti-viral compound, rutin, as a basis for structure-based molecular docking campaign using databases of commercially available compounds that are potential ligands. The known and well-studied SARS- CoV-2 main protease structure was used as a target and Asinex screening library was filtered to select structurally similar and pharmacokinetically feasible compounds. Before screening campaing, the protein was minimized and selected compounds were protonated and parametrized. A modified version of rDock high- throughput virtual screening tool called RxDock was used for molecular docking. RxDock was developed to enable running large molecular docking studes on modern computer systems, including supercomputers and clouds. Our approach combines traditional approach of pharmaceutical industry where natural compounds are used as a template to develop novel inhibitors while using novel high-throughput virtual screening techniques and validation tests. It promises to pave a way to develop an agnostic approach in development of novel inhibitors while keeping the cost of both the computational protocols and bioassays lower than the current drug discovery pipeline.

Izvorni jezik
Engleski

Znanstvena područja
Kemija, Računarstvo, Farmacija



POVEZANOST RADA


Ustanove:
Fakultet informatike i digitalnih tehnologija, Rijeka

Profili:

Avatar Url Vedran Miletić (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Miletić, Vedran; Nikolić, Patrik; Kinkela, Dominik
Structure-based Molecular Docking in the Identification of Novel Inhibitors Targeting SARS-CoV-2 Main Protease // 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO)
Opatija: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2021. str. 435-440 doi:10.23919/MIPRO52101.2021.9596660 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Miletić, V., Nikolić, P. & Kinkela, D. (2021) Structure-based Molecular Docking in the Identification of Novel Inhibitors Targeting SARS-CoV-2 Main Protease. U: 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO) doi:10.23919/MIPRO52101.2021.9596660.
@article{article, author = {Mileti\'{c}, Vedran and Nikoli\'{c}, Patrik and Kinkela, Dominik}, year = {2021}, pages = {435-440}, DOI = {10.23919/MIPRO52101.2021.9596660}, keywords = {SARS-CoV-2 Mpro, natural products, antiviral compounds, inhibitors, RxDock, molecular docking, high-throughput virtual screening, commercial compound databases, RDKit}, doi = {10.23919/MIPRO52101.2021.9596660}, isbn = {978-953-233-101-1}, title = {Structure-based Molecular Docking in the Identification of Novel Inhibitors Targeting SARS-CoV-2 Main Protease}, keyword = {SARS-CoV-2 Mpro, natural products, antiviral compounds, inhibitors, RxDock, molecular docking, high-throughput virtual screening, commercial compound databases, RDKit}, publisher = {Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO}, publisherplace = {Opatija, Hrvatska} }
@article{article, author = {Mileti\'{c}, Vedran and Nikoli\'{c}, Patrik and Kinkela, Dominik}, year = {2021}, pages = {435-440}, DOI = {10.23919/MIPRO52101.2021.9596660}, keywords = {SARS-CoV-2 Mpro, natural products, antiviral compounds, inhibitors, RxDock, molecular docking, high-throughput virtual screening, commercial compound databases, RDKit}, doi = {10.23919/MIPRO52101.2021.9596660}, isbn = {978-953-233-101-1}, title = {Structure-based Molecular Docking in the Identification of Novel Inhibitors Targeting SARS-CoV-2 Main Protease}, keyword = {SARS-CoV-2 Mpro, natural products, antiviral compounds, inhibitors, RxDock, molecular docking, high-throughput virtual screening, commercial compound databases, RDKit}, publisher = {Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO}, publisherplace = {Opatija, Hrvatska} }

Citati:





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