Subjects: MICROBIOLOGIA, ANTIVIRAIS, COVID-19, CORONAVIRUS, INIBIDORES DE ENZIMAS, MEDICAMENTO
ABNT
SOUZA, Anacleto Silva de et al. Antagonistic trends between binding affinity and drug-Likeness in SARS-CoV-2 Mpro inhibitors revealed by machine learning. Viruses, v. 17, n. 7. art. 935, p. 25 , 2025Tradução . . Disponível em: https://doi.org/10.3390/v17070935. Acesso em: 17 abr. 2026.APA
Souza, A. S. de, Amorim, V. M. de F., Soares, E. P., Guzzo, C. R., & Souza, R. F. de. (2025). Antagonistic trends between binding affinity and drug-Likeness in SARS-CoV-2 Mpro inhibitors revealed by machine learning. Viruses, 17( 7. art. 935), 25 . doi:10.3390/v17070935NLM
Souza AS de, Amorim VM de F, Soares EP, Guzzo CR, Souza RF de. Antagonistic trends between binding affinity and drug-Likeness in SARS-CoV-2 Mpro inhibitors revealed by machine learning [Internet]. Viruses. 2025 ; 17( 7. art. 935): 25 .[citado 2026 abr. 17 ] Available from: https://doi.org/10.3390/v17070935Vancouver
Souza AS de, Amorim VM de F, Soares EP, Guzzo CR, Souza RF de. Antagonistic trends between binding affinity and drug-Likeness in SARS-CoV-2 Mpro inhibitors revealed by machine learning [Internet]. Viruses. 2025 ; 17( 7. art. 935): 25 .[citado 2026 abr. 17 ] Available from: https://doi.org/10.3390/v17070935
