Target Name: MIR3183
NCBI ID: G100422835
Review Report on MIR3183 Target / Biomarker Content of Review Report on MIR3183 Target / Biomarker
MIR3183
Other Name(s): hsa-mir-3183 | hsa-miR-3183 | microRNA 3183 | mir-3183 | MicroRNA 3183

MIR3183: A Potential Drug Target and Biomarker

MIR3183, a drug candidate for the treatment of various diseases, has been shown to have potential in targeting the neural transition proteins, which play a crucial role in the development and progression of neurodegenerative diseases. The neurotransition proteins are a family of transmembrane proteins that regulate the dynamics of synapses, the structural elements that connect neurons in the nervous system. MIR3183 has been shown to interact with several of these proteins, including synaptophysin, a protein that helps maintain the stability of synapses.

In addition to its potential as a drug target, MIR3183 has also been shown to be a potential biomarker for the diagnosis and monitoring of neurodegenerative diseases. The neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, and Huntington's disease, are characterized by the progressive loss of brain cells and the damage to neural circuits that support cognitive and motor function. MIR3183 has been shown to be able to cross-react with the neurotransition proteins that are affected in these diseases, which could make it a useful biomarker for the diagnosis and monitoring of these conditions.

MIR3183 is a small molecule that can be easily synthesized and has been shown to have a wide range of effects in various cellular and animal models. For example, MIR3183 has been shown to be able to increase the stability of synapses, improve the formation of new neurons, and protect against neurotoxicity. These effects make MIR3183 a promising candidate for the treatment of neurodegenerative diseases.

One of the key challenges in the development of new treatments for neurodegenerative diseases is the difficulty in identifying the underlying molecular mechanisms of the disease. MIR3183 offers some potential in helping to identify these mechanisms by its ability to interact with several neurotransition proteins. This could provide valuable insights into the underlying molecular mechanisms of neurodegenerative diseases and help to identify new potential targets for treatment.

In addition to its potential as a drug target and biomarker, MIR3183 also has potential as a diagnostic tool for the detection of neurodegenerative diseases. The development of new diagnostic tools is a critical step in the development of new treatments for neurodegenerative diseases. MIR3183 has been shown to be able to cross-react with several neurotransition proteins that are affected in neurodegenerative diseases, which could make it a useful tool for the diagnosis and monitoring of these conditions.

MIR3183 is a small molecule that has been shown to have a wide range of effects in various cellular and animal models. Its ability to interact with several neurotransition proteins makes it a promising candidate for the treatment and diagnosis of neurodegenerative diseases. Further research is needed to fully understand the molecular mechanisms of MIR3183 and its potential as a drug and biomarker for neurodegenerative diseases.

Protein Name: MicroRNA 3183

The "MIR3183 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 MIR3183 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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