On Approximating the pIC50 Value of COVID-19 Medicines In Silico with Artificial Neural Networks (Englisch)
Freier Zugriff
- Neue Suche nach: Baressi Šegota, Sandi
- Neue Suche nach: Lorencin, Ivan
- Neue Suche nach: Kovač, Zoran
- Neue Suche nach: Car, Zlatan
- Neue Suche nach: Baressi Šegota, Sandi
- Neue Suche nach: Lorencin, Ivan
- Neue Suche nach: Kovač, Zoran
- Neue Suche nach: Car, Zlatan
- Aufsatz (Zeitschrift) / Elektronische Ressource
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Titel:On Approximating the pIC50 Value of COVID-19 Medicines In Silico with Artificial Neural Networks
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Beteiligte:Baressi Šegota, Sandi ( Autor:in ) / Lorencin, Ivan ( Autor:in ) / Kovač, Zoran ( Autor:in ) / Car, Zlatan ( Autor:in )
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Erscheinungsdatum:01.01.2023
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Anmerkungen:http://bib.irb.hr/1246979 ; Biomedicines ; Volume 11 ; Issue 2 ; ISSN 2227-9059 (Print)
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
- Neue Suche nach: 006
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Schlagwörter:artificial neural networks , convolutional neural networks , machine learning , pIC50 , regression modeling , SMILES , BIOMEDICINA I ZDRAVSTVO. Dentalna medicina , BIOMEDICINE AND HEALTHCARE. Dental Medicine , TEHNIČKE ZNANOSTI. Računarstvo , TECHNICAL SCIENCES. Computing , TEHNIČKE ZNANOSTI. Temeljne tehničke znanosti , TECHNICAL SCIENCES. Basic Technical Sciences , INTERDISCIPLINARNA PODRUČJA ZNANOSTI. Biotehnologija u biomedicini (prirodno područje , biomedicina i zdravstvo , biotehničko područje) , INTERDISCIPLINARY AREAS OF KNOWLEDGE. Biotechnology in Biomedicine (natural science , biomedicine and healthcare , bioethics area
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