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On Approximating the pIC50 Value of COVID-19 Medicines In Silico with Artificial Neural Networks
Biomedicines, 11 (2023), 2; 1-22. https://doi.org/10.3390/biomedicines11020284


Citirajte ovaj rad

Baressi Šegota, S., Lorencin, I., Kovač, Z. i Car, Z. (2023). On Approximating the pIC50 Value of COVID-19 Medicines In Silico with Artificial Neural Networks. Biomedicines, 11. (2), 1-22. doi: 10.3390/biomedicines11020284

Baressi Šegota, Sandi, et al. "On Approximating the pIC50 Value of COVID-19 Medicines In Silico with Artificial Neural Networks." Biomedicines, vol. 11, br. 2, 2023, str. 1-22. https://doi.org/10.3390/biomedicines11020284

Baressi Šegota, Sandi, Ivan Lorencin, Zoran Kovač i Zlatan Car. "On Approximating the pIC50 Value of COVID-19 Medicines In Silico with Artificial Neural Networks." Biomedicines 11, br. 2 (2023): 1-22. https://doi.org/10.3390/biomedicines11020284

Baressi Šegota, S., et al. (2023) 'On Approximating the pIC50 Value of COVID-19 Medicines In Silico with Artificial Neural Networks', Biomedicines, 11(2), str. 1-22. doi: 10.3390/biomedicines11020284

Baressi Šegota S, Lorencin I, Kovač Z, Car Z. On Approximating the pIC50 Value of COVID-19 Medicines In Silico with Artificial Neural Networks. Biomedicines [Internet]. 2023. [pristupljeno 20.07.2024.];11(2):1-22. doi: 10.3390/biomedicines11020284

S. Baressi Šegota, I. Lorencin, Z. Kovač i Z. Car, "On Approximating the pIC50 Value of COVID-19 Medicines In Silico with Artificial Neural Networks", Biomedicines, vol. 11, br. 2, str. 1-22, 2023. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:271:218377. [Citirano: 20.07.2024.]

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