Identification of electrostatic epitopes in flavivirus by computer simulations: the PROCEEDpKa method (2019)
- Authors:
- USP affiliated authors: ETCHEBEST, CATHERINE JEANNE CHANTAL - BIOINFORMÁTICA ; SILVA, FERNANDO LUIS BARROSO DA - FCFRP ; CUEVAS, SERGIO ALEJANDRO POVEDA - BIOINFORMÁTICA
- Unidades: BIOINFORMÁTICA; FCFRP
- DOI: 10.1021/acs.jcim.9b00895
- Subjects: ANTÍGENOS; IMUNOLOGIA; FLAVIVIRUS
- Keywords: Antigens; Immunology; Monomers; Peptides and proteins; X-rays
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Washington
- Date published: 2019
- Source:
- Título: Journal of Chemical Information and Modeling
- ISSN: 1549-9596
- Volume/Número/Paginação/Ano: v. 60, n. 2, p. 944-963, 2019
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
POVEDA CUEVAS, Sergio Alejandro e ETCHEBEST, Catherine e SILVA, Fernando Luís Barroso da. Identification of electrostatic epitopes in flavivirus by computer simulations: the PROCEEDpKa method. Journal of Chemical Information and Modeling, v. 60, n. 2, p. 944-963, 2019Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.9b00895. Acesso em: 05 out. 2024. -
APA
Poveda Cuevas, S. A., Etchebest, C., & Silva, F. L. B. da. (2019). Identification of electrostatic epitopes in flavivirus by computer simulations: the PROCEEDpKa method. Journal of Chemical Information and Modeling, 60( 2), 944-963. doi:10.1021/acs.jcim.9b00895 -
NLM
Poveda Cuevas SA, Etchebest C, Silva FLB da. Identification of electrostatic epitopes in flavivirus by computer simulations: the PROCEEDpKa method [Internet]. Journal of Chemical Information and Modeling. 2019 ; 60( 2): 944-963.[citado 2024 out. 05 ] Available from: https://doi.org/10.1021/acs.jcim.9b00895 -
Vancouver
Poveda Cuevas SA, Etchebest C, Silva FLB da. Identification of electrostatic epitopes in flavivirus by computer simulations: the PROCEEDpKa method [Internet]. Journal of Chemical Information and Modeling. 2019 ; 60( 2): 944-963.[citado 2024 out. 05 ] Available from: https://doi.org/10.1021/acs.jcim.9b00895 - How the strain origin of Zika Virus NS1 protein impacts its dynamics and implications to their differential virulence
- Coarse-grained modeling with constant pH of the protein complexation phenomena
- Structural Bioinformatics studies of the Zika virus non-structural protein 1 and its molecular interactions
- Estudo do efeito de diferentes campos de força na interação ligante biomolécula utilizando o modelo de tanford-kirkwood modificado
- Macroion-polyelectrolyte complexes: an initial study of methodological issues
- Application of Poisson-Boltzmann approach on structural biology: an initial study of the complex trypsin-BPTI
- Statistical analysis of mutational effects on calbindin 'D IND.9k' by computer simulations
- Análise do efeito de diferentes protocolos para cálculos de propriedades eletrostáticas de biomoléculas através de soluções numéricas da Equação de Poisson-Boltzmann
- Polyelectrolyte-protein complexation driven by charge regulation
- On the interactions of the receptor-binding domain of SARS-CoV-1 and SARS-CoV-2 spike proteins with monoclonal antibodies and the receptor ACE2
Informações sobre o DOI: 10.1021/acs.jcim.9b00895 (Fonte: oaDOI API)
Download do texto completo
Tipo | Nome | Link | |
---|---|---|---|
003089754.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas