Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII (2021)
- Authors:
- USP affiliated authors: MELLO, RODRIGO FERNANDES DE - ICMC ; RIOS, RICARDO ARAÚJO - ICMC ; RIOS, TATIANE NOGUEIRA - ICMC
- Unidade: ICMC
- DOI: 10.1038/s41598-021-92201-3
- Subjects: APRENDIZADO COMPUTACIONAL; BIOINFORMÁTICA; HEMOFILIA; PROTEÍNAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Scientific Reports
- ISSN: 2045-2322
- Volume/Número/Paginação/Ano: v. 11, p. 1-11, 2021
- Este artigo NÃO possui versão em acesso aberto
-
ABNT
LOPES, Tiago José da Silva et al. Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII. Scientific Reports, v. 11, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1038/s41598-021-92201-3. Acesso em: 06 mar. 2026. -
APA
Lopes, T. J. da S., Rios, R. A., Nogueira, T., & Mello, R. F. de. (2021). Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII. Scientific Reports, 11, 1-11. doi:10.1038/s41598-021-92201-3 -
NLM
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII [Internet]. Scientific Reports. 2021 ; 11 1-11.[citado 2026 mar. 06 ] Available from: https://doi.org/10.1038/s41598-021-92201-3 -
Vancouver
Lopes TJ da S, Rios RA, Nogueira T, Mello RF de. Protein residue network analysis reveals fundamental properties of the human coagulation factor VIII [Internet]. Scientific Reports. 2021 ; 11 1-11.[citado 2026 mar. 06 ] Available from: https://doi.org/10.1038/s41598-021-92201-3 - Prediction of hemophilia A severity using a small-input machine-learning framework
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