Virtual screening and in vitro assays of novel hits as promising DPP-4 inhibitors (2022)
- Authors:
- Autor USP: HONORIO, KÁTHIA MARIA - EACH
- Unidade: EACH
- DOI: 10.1016/j.biochi.2021.12.007
- Subjects: DIABETES MELLITUS; FÁRMACOS
- Language: Inglês
- Imprenta:
- Source:
- Título: Biochimie: an international journal of biochemistry and molecular biology
- ISSN: 0300-9084
- Volume/Número/Paginação/Ano: v. 194, p. 43-50, Mar. 2022
- Status:
- Artigo possui versão em acesso aberto em repositório (Green Open Access)
- Versão do Documento:
- Versão submetida (Pré-print)
- Acessar versão aberta:
-
ABNT
PANTALEÃO, Simone Queiroz et al. Virtual screening and in vitro assays of novel hits as promising DPP-4 inhibitors. Biochimie: an international journal of biochemistry and molecular biology, v. 194, p. 43-50, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.biochi.2021.12.007. Acesso em: 09 maio 2026. -
APA
Pantaleão, S. Q., Philot, E. A., Paula, H. de, Sairre, M. I. de, Lima, A. N., Pires, L. M., et al. (2022). Virtual screening and in vitro assays of novel hits as promising DPP-4 inhibitors. Biochimie: an international journal of biochemistry and molecular biology, 194, 43-50. doi:10.1016/j.biochi.2021.12.007 -
NLM
Pantaleão SQ, Philot EA, Paula H de, Sairre MI de, Lima AN, Pires LM, Santos RA dos, Scott AL, Honorio KM. Virtual screening and in vitro assays of novel hits as promising DPP-4 inhibitors [Internet]. Biochimie: an international journal of biochemistry and molecular biology. 2022 ; 194 43-50.[citado 2026 maio 09 ] Available from: https://doi.org/10.1016/j.biochi.2021.12.007 -
Vancouver
Pantaleão SQ, Philot EA, Paula H de, Sairre MI de, Lima AN, Pires LM, Santos RA dos, Scott AL, Honorio KM. Virtual screening and in vitro assays of novel hits as promising DPP-4 inhibitors [Internet]. Biochimie: an international journal of biochemistry and molecular biology. 2022 ; 194 43-50.[citado 2026 maio 09 ] Available from: https://doi.org/10.1016/j.biochi.2021.12.007 - MASSA Algorithm: automated rational sampling of training and test subsets for QSAR modelling
- Recent advances in the prediction of pharmacokinetics properties in drug design studies: a review
- Machine learning techniques applied to the drug design and discovery of new antivirals: a brief look over the past decade
- The importance of good practices and false hits for QSAR-driven virtual screening real application: a SARS-CoV-2 main protease (Mpro) case study
- The potential of secondary metabolites from plants as drugs or leads against trypanosoma cruzi-An Update from 2012 to 2021
- Andrographolide: a diterpenoid from cymbopogon schoenanthus identified as a new hit compound against trypanosoma cruzi using machine learning and experimental approaches
- Molecular features related to the binding mode of PPARδ agonists from QSAR and docking analyses
- Study on molecular structure, spectroscopic properties (FTIR and UV–Vis), NBO, QTAIM, HOMO-LUMO energies and docking studies of 5-fluorouracil, a substance used to treat cancer
- MD simulations and multivariate studies for modeling the antileishmanial activity of peptides
- Molecular properties of fatty acids related to PPAR binding and metabolic diseases
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Por se tratar de integração com serviço externo, podem existir diferentes versões do trabalho (como preprints ou postprints), que podem diferir da versão publicada.
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
