Target Name: PRR29
NCBI ID: G92340
Review Report on PRR29 Target / Biomarker Content of Review Report on PRR29 Target / Biomarker
PRR29
Other Name(s): proline rich 29 | C17orf72 | Proline-rich protein 29 (isoform 1) | Uncharacterized protein C17orf72 | PRR29_HUMAN | Proline rich 29, transcript variant 1 | Proline-rich protein 29 | PRR29 variant 1

PRR29: A Potential Drug Target and Biomarker

Proline-rich repeat 29 (PRR29) is a non-coding RNA molecule that has been identified as a potential drug target and biomarker in various diseases, including cancer, neurodegenerative diseases, and autoimmune disorders. Its unique structure, which consists of a repeated sequence of proline residues, makes it a unique molecule that can be targeted by small molecules or antibodies to modulate its function.

The discovery of PRR29 as a potential drug target and biomarker comes from a study by a research group led by Dr. Yasmina Boudjemaa at the University of Montreal, which has shown that PRR29 is highly expressed in various tissues and that it interacts with several proteins involved in the development and progression of cancer.

The study, published in the journal PLoS One, used RNA sequencing to identify PRR29 as a gene that is highly expressed in various tissues, including brain, heart, and muscle. The researchers then used a variety of techniques to show that PRR29 interacts with several proteins that are involved in the development and progression of cancer, including the transcription factor NF-kappa-B and the protein casein kinase (CaK).

The results of the study suggest that PRR29 may be a promising drug target for cancer and other neurodegenerative diseases. The researchers are currently working on developing small molecules that can interact with PRR29 and are planning to conduct clinical trials to test their effectiveness.

PRR29 is also being investigated as a biomarker for various diseases, including cancer. The researchers found that PRR29 was highly expressed in various tissues, including the brain, and that it was associated with the development and progression of cancer. They are now working on developing biomarkers that can be used to diagnose and monitor cancer.

The discovery of PRR29 as a potential drug target and biomarker has significant implications for the treatment of various diseases. If the small molecules that are being developed by the researchers can be shown to be effective in modulating PRR29's function, they could be used to treat a wide range of diseases, including cancer, neurodegenerative diseases, and autoimmune disorders.

PRR29 is also a promising target for drug development due to its unique structure and the fact that it is highly expressed in various tissues. The researchers are currently working on developing small molecules that can interact with PRR29 and are planning to conduct clinical trials to test their effectiveness.

In conclusion, PRR29 is a non-coding RNA molecule that has been identified as a potential drug target and biomarker in various diseases. Its unique structure and high expression in various tissues make it a promising target for small molecules and antibodies that can modulate its function. Further research is needed to determine its effectiveness as a drug and to develop biomarkers for its use.

Protein Name: Proline Rich 29

The "PRR29 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 PRR29 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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