Target Name: Propionyl-CoA Carboxylase
NCBI ID: P18526
Review Report on Propionyl-CoA Carboxylase Target / Biomarker Content of Review Report on Propionyl-CoA Carboxylase Target / Biomarker
Propionyl-CoA Carboxylase
Other Name(s): Propionyl coenzyme A carboxylase | Propanoyl-CoA:carbon-dioxide ligase (ADP-forming) | PCC

A Promising Drug Target: The Target of Propionyl-CoA Carboxylase

The liver is a vital organ that performs a wide range of functions, including the production and breakdown of various compounds. One of the essential enzymes involved in the metabolism of fatty acids is the propionyl-coA carboxylase (Propionyl-CoA Carboxylase, PC). This enzyme converts propionyl-coA to acetyl-CoA, which is a crucial step in the citric acid cycle, also known as the Krebs cycle or tricarboxylic acid (TCA) cycle. The PC enzyme is located in the mitochondria and has been identified as a potential drug target in the treatment of various diseases.

History of PC Research

The discovery of PC as a drug target dates back to the 1950s when researchers identified that inhibiting the activity of the PC enzyme could prevent the formation of toxic intermediates in the TCA cycle. Since then, numerous studies have further investigated the role of PC in various diseases, including cancer, diabetes, and neurodegenerative disorders.

Diseases Associated with PC Inhibition

Inhibition of the PC enzyme has been shown to be effective in treating several diseases, including cancer, neurodegenerative disorders, and diabetes.

1. Cancer: Several studies have shown that inhibiting PC can be an effective way to treat various types of cancer, including breast, ovarian, and colorectal cancer. This is because PC is involved in the production of ketones, which can contribute to the development and progression of cancer cells.
2. Neurodegenerative Disorders: PC has been shown to be involved in the development and progression of several neurodegenerative disorders, including Alzheimer's disease, Parkinson's disease, and Huntington's disease. In these conditions, the accumulation of toxic intermediates in the TCA cycle can contribute to the progression of neurodegeneration.
3. Diabetes: PC has also been shown to be involved in the metabolism of fatty acids and has been identified as a potential drug target for treating diabetes. In this context, PC inhibition has been shown to improve insulin sensitivity and lower blood glucose levels in individuals with diabetes.

Mechanisms of PC Inhibition

Several mechanisms have been identified as underlying the effects of PC inhibition in diseases associated with the PC enzyme.

1. inhibition of the PC enzyme: This mechanism involves direct inhibition of the PC enzyme, leading to a decrease in its activity.
2. modulation of the activity of other enzymes: Some studies have shown that PC inhibition can modulate the activity of other enzymes involved in the TCA cycle, such as the succinyl-CoA synthetase and the malate synthase.
3. alteration of cellular metabolism: PC inhibition has been shown to alter cellular metabolism, including the production of ketones and the decrease in the production of acetyl-CoA.

Conclusion

In conclusion, PC has been identified as a potential drug target in the treatment of various diseases, including cancer, neurodegenerative disorders, and diabetes. The inhibition of PC has been shown to be effective in treating these conditions by reducing the production of toxic intermediates in the TCA cycle. Further research is needed to fully understand the mechanisms of PC inhibition and to develop safe and effective drugs that can be used to treat these diseases.

Protein Name: Propionyl-CoA Carboxylase

The "Propionyl-CoA Carboxylase Target / Biomarker Review Report" is a customizable review of hundreds up to thousends of related scientific research literature by AI technology, covering specific information about Propionyl-CoA Carboxylase comprehensively, including but not limited to:
•   general information;
•   protein structure and compound binding;
•   protein biological mechanisms;
•   its importance;
•   the target screening and validation;
•   expression level;
•   disease relevance;
•   drug resistance;
•   related combination drugs;
•   pharmacochemistry experiments;
•   related patent analysis;
•   advantages and risks of development, etc.
The report is helpful for project application, drug molecule design, research progress updates, publication of research papers, patent applications, etc. If you are interested to get a full version of this report, please feel free to contact us at BD@silexon.ai

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