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1.
Acta Pharmaceutica Sinica B ; (6): 54-67, 2023.
Artículo en Inglés | WPRIM | ID: wpr-971706

RESUMEN

Prediction of the interactions between small molecules and their targets play important roles in various applications of drug development, such as lead discovery, drug repurposing and elucidation of potential drug side effects. Therefore, a variety of machine learning-based models have been developed to predict these interactions. In this study, a model called auxiliary multi-task graph isomorphism network with uncertainty weighting (AMGU) was developed to predict the inhibitory activities of small molecules against 204 different kinases based on the multi-task Graph Isomorphism Network (MT-GIN) with the auxiliary learning and uncertainty weighting strategy. The calculation results illustrate that the AMGU model outperformed the descriptor-based models and state-of-the-art graph neural networks (GNN) models on the internal test set. Furthermore, it also exhibited much better performance on two external test sets, suggesting that the AMGU model has enhanced generalizability due to its great transfer learning capacity. Then, a naïve model-agnostic interpretable method for GNN called edges masking was devised to explain the underlying predictive mechanisms, and the consistency of the interpretability results for 5 typical epidermal growth factor receptor (EGFR) inhibitors with their structure‒activity relationships could be observed. Finally, a free online web server called KIP was developed to predict the kinome-wide polypharmacology effects of small molecules (http://cadd.zju.edu.cn/kip).

2.
China Journal of Chinese Materia Medica ; (24): 1888-1896, 2022.
Artículo en Chino | WPRIM | ID: wpr-928185

RESUMEN

Angong Niuhuang Pills(AGNHP) are effective in clearing heat, removing the toxin, and eliminating phlegm for resuscitation. Clinically, it is widely used to treat various diseases such as febrile convulsion due to heat attacking pericardium, but its therapeutic effects on heart failure(HF) have not been well recognized. In this study, the profiles of differential metabolites regulated by AGNHP were identified by ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS). The underlying mechanism of AGNHP against HF was illustrated based on the integrated analysis of pharmacological data and metabolic molecular network. The HF model was induced by isoproterenol in mice. After oral administration of AGNHP for one week, cardiac functions in HF mice were evaluated by echocardiography, and serum samples of mice were collected for metabolomics analysis. Eight differential metabolites of AGNHP against HF were screened out through partial least square discriminant analysis(PLS-DA) and input into MetaboAnalyst for the analysis of metabolic pathways. Moreover, the critical metabolic pathways regulated by AGNHP were enriched according to the potential targets of major compounds in AGNHP. After AGNHP treatment, the recovered index of relative content of some metabolites underwent cross-scale fusion analysis with therapeutic efficacy data, followed by "compound-reaction-enzyme-gene" network analysis. It is inferred that the anti-HF effects of AGNHP may be attributed to the metabolism of arachidonic acid, amino acid, glycerophospholipid, and linoleic acid. The cross-scale polypharmacological analysis method developed in this study provides a new method to interpret scientific principles of AGNHP against HF with modern technologies.


Asunto(s)
Animales , Ratones , Biomarcadores , Cromatografía Líquida de Alta Presión , Medicamentos Herbarios Chinos , Insuficiencia Cardíaca/tratamiento farmacológico , Metabolómica
3.
Journal of International Pharmaceutical Research ; (6): 471-479,486, 2017.
Artículo en Chino | WPRIM | ID: wpr-617470

RESUMEN

Bromodomain and extra-terminal domain(BET)Bromodomain has become a new target for the treatment of cancers and other human disorders. Nowadays,several classes of its potent and selective small-molecule inhibitors have been identified,many of which are in clinical trials. Preclinical and clinical data have shown that BET Bromodomain inhibitors have good prospects. Howev-er,there are potential therapeutic deficiencies,such as drug resistance. At present,attempts are being made to develop BET Bromodo-main inhibitors and degraders based on polypharmacology,combining BET Bromodomain with other targets of different mechanisms. In this paper,small-molecule kinase/BET inhibitors,small-molecule histone deacetylases(HDAC)/BET inhibitors and BET protein degraders are reviewed,which may provide guidance for further research on BET protein.

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