Target Characterization of Kaempferol against Myocardial Infarction Using Novel In Silico Docking and DARTS Prediction Strategy.
Int J Mol Sci
; 22(23)2021 Nov 29.
Article
en En
| MEDLINE
| ID: mdl-34884711
ABSTRACT
Target identification is a crucial process for advancing natural products and drug leads development, which is often the most challenging and time-consuming step. However, the putative biological targets of natural products obtained from traditional prediction studies are also informatively redundant. Thus, how to precisely identify the target of natural products is still one of the major challenges. Given the shortcomings of current target identification methodologies, herein, a novel in silico docking and DARTS prediction strategy was proposed. Concretely, the possible molecular weight was detected by DARTS method through examining the protected band in SDS-PAGE. Then, the potential targets were obtained from screening and identification through the PharmMapper Server and TargetHunter method. In addition, the candidate target Src was further validated by surface plasmon resonance assay, and the anti-apoptosis effects of kaempferol against myocardial infarction were further confirmed by in vitro and in vivo assays. Collectively, these results demonstrated that the integrated strategy could efficiently characterize the targets, which may shed a new light on target identification of natural products.
Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Familia-src Quinasas
/
Miocitos Cardíacos
/
Quempferoles
/
Infarto del Miocardio
Tipo de estudio:
Etiology_studies
/
Prognostic_studies
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Risk_factors_studies
Idioma:
En
Revista:
Int J Mol Sci
Año:
2021
Tipo del documento:
Article