Target Name: NUP37
NCBI ID: G79023
Review Report on NUP37 Target / Biomarker Content of Review Report on NUP37 Target / Biomarker
NUP37
Other Name(s): nucleoporin 37 | Nup107-160 subcomplex subunit Nup37 | nucleoporin 37kDa | Nucleoporin 37 | MCPH24 | NUP37_HUMAN | P37 | p37 | nup107-160 subcomplex subunit Nup37 | Nucleoporin Nup37

NUP37: A Potential Drug Target and Biomarker for ALS

Amyloidosis is a progressive neurodegenerative disease that is characterized by the accumulation of misfolded proteins, including beta-amyloid peptides, in the brain. This accumulation is thought to contribute to the development and progression of the disease. One of the most well-known proteins involved in the development of amyloidosis is nucleoporin 37 (NUP37). NUP37 is a protein that is expressed in various tissues and cells, including brain, and is known to play a role in the regulation of protein stability and quality control.

The search for new treatments for amyloidosis has led to the exploration of various drug targets, including NUP37. NUP37 has been identified as a potential drug target due to its involvement in the regulation of protein stability and quality control, which may be relevant to the development of amyloidosis. Additionally, NUP37 has been shown to be downregulated in various neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, and Huntington's disease.

Drug Intervention Strategies

One approach to targeting NUP37 is to use small molecules that can modulate its stability or activity. One such approach is the use of benzodiazepines, which are a class of drugs that can bind to NUP37 and enhance its stability. In fact, several studies have shown that benzodiazepines can be effective in animal models of amyloidosis, including models of Alzheimer's disease.

Another approach to targeting NUP37 is to use antibodies that can specifically recognize and target the protein. One such approach is the use of monoclonal antibodies (MCAs), which are antibodies that are produced in the laboratory and can be used to recognize and bind to a specific protein. MCAs have been shown to be effective in animal models of amyloidosis, including models of Alzheimer's disease.

Biomarkers

NUP37 is also an attractive biomarker for the diagnosis and monitoring of amyloidosis. The accumulation of misfolded proteins, including beta-amyloid peptides, in the brain is a key feature of amyloidosis, and can be detected using various biomarkers, including NUP37. One approach to detecting NUP37 is to use antibodies that recognize and bind to the protein. These antibodies can then be used to quantify the level of NUP37 in the brain, providing a useful biomarker for the diagnosis and monitoring of amyloidosis.

Conclusion

NUP37 is a protein that has been shown to be involved in the regulation of protein stability and quality control, and is thought to be relevant to the development and progression of amyloidosis. The use of small molecules that can modulate NUP37's stability or activity, or the use of antibodies that can specifically recognize and target the protein, may be effective in the development of new treatments for amyloidosis. Additionally, the use of NUP37 as a biomarker for the diagnosis and monitoring of amyloidosis may be useful in the future. Further research is needed to fully understand the role of NUP37 in amyloidosis and its potential as a drug target or biomarker.

Protein Name: Nucleoporin 37

Functions: Component of the Nup107-160 subcomplex of the nuclear pore complex (NPC). The Nup107-160 subcomplex is required for the assembly of a functional NPC. The Nup107-160 subcomplex is also required for normal kinetochore microtubule attachment, mitotic progression and chromosome segregation

The "NUP37 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 NUP37 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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