Unmodified methodologies in target discovery for small molecule drugs: A rising star

Ou, Meng; Zheng, Qiuling; Ding, Ya

doi:10.1016/j.cclet.2022.04.013

Cited by 3 publications

(3 citation statements)

References 60 publications

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“…The other approach implies direct target identification (Figure 15). Classical approaches, affinity-based methods (including photo-affinity chromatography) [85,86], various methods of studying unmodified proteins in interaction with small molecules (including those based on protein stability), mass spectrometry [87] and omics approaches [88] still have wide application in the search for and validation of protein targets [84].…”

Section: Protein Target Identificationmentioning

confidence: 99%

“…It efficiently identifies antibiotics with a specific target, enabling the discovery of dihydrofolate reductase inhibitors in Mycobacterium tuberculosis [89]. Recently, a biosensor based on Actinomyces oris was developed to identify sortase Classical approaches, affinity-based methods (including photo-affinity chromatography) [85,86], various methods of studying unmodified proteins in interaction with small molecules (including those based on protein stability), mass spectrometry [87] and omics approaches [88] still have wide application in the search for and validation of protein targets [84].…”

Section: Protein Target Identificationmentioning

confidence: 99%

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Sensing of Antibiotic–Bacteria Interactions

Baranova,

Tyurin,

Korshun

et al. 2023

Antibiotics

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Sensing of antibiotic–bacteria interactions is an important area of research that has gained significant attention in recent years. Antibiotic resistance is a major public health concern, and it is essential to develop new strategies for detecting and monitoring bacterial responses to antibiotics in order to maintain effective antibiotic development and antibacterial treatment. This review summarizes recent advances in sensing strategies for antibiotic–bacteria interactions, which are divided into two main parts: studies on the mechanism of action for sensitive bacteria and interrogation of the defense mechanisms for resistant ones. In conclusion, this review provides an overview of the present research landscape concerning antibiotic–bacteria interactions, emphasizing the potential for method adaptation and the integration of machine learning techniques in data analysis, which could potentially lead to a transformative impact on mechanistic studies within the field.

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Section: Protein Target Identificationmentioning

confidence: 99%

Section: Protein Target Identificationmentioning

confidence: 99%

Sensing of Antibiotic–Bacteria Interactions

Baranova,

Tyurin,

Korshun

et al. 2023

Antibiotics

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“…In recent years, chemoproteomic methods have rapidly developed and emerged as effective target screening tools. − They have made significant progress in drug target discovery and identification compared with other methods, such as substrate assays and phenotype-based screening , due to their high throughput, accuracy, and sensitivity. Notably, affinity-based proteomics , is one of the most commonly used methods for drug target identification owing to the expanded target protein range and preservation of protein’s physical and chemical properties .…”

mentioning

confidence: 99%

Virus-like Iron-Gold Heterogeneous Nanoparticles for Drug Target Screening

Tang,

Sun,

Xie

et al. 2023

Anal. Chem.

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Drug-target recognition has great impacts on revealing mechanisms of pharmacological activities, especially drug resistance and off-target effects. In recent years, chemoproteomics has been widely used for drug target screening and discovery due to its high-throughput, high accuracy, and sensitivity. However, there still remain challenges on how to efficiently and unambiguously track target proteins from complex biological matrices. Herein, we report a drug target screening method based on virus-like iron-gold heterogeneous nanoparticles (Au@Fe3O4 NPs). The unique structure of Au@Fe3O4 NPs not only maintains the magnetism of Fe3O4 NPs to facilitate protein enrichment and purification, but also increases drug modification by introducing more active sites on the surface of Au NPs. After coincubating the drug modified NPs with the cell lysate, the high loading of drug on the surface of Au@Fe3O4 NPs was beneficial for capturing target proteins with low abundance. This well-designed heterogeneous nanomaterial provides a novel strategy for improving the efficiency and accuracy of affinity-based proteomics.

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