Target Name: CYP2D7
NCBI ID: G1564
Review Report on CYP2D7 Target / Biomarker Content of Review Report on CYP2D7 Target / Biomarker
CYP2D7
Other Name(s): P450C2D | Cytochrome P450 family 2 subfamily D member 7 (gene/pseudogene), transcript variant 1 | nonfunctional cytochrome P450 family 2 subfamily D polypeptide 6 | CYP2D | cytochrome P450 family 2 subfamily D member 7 (gene/pseudogene) | cytochrome P4502D6 | cytochrome P450, subfamily II (debrisoquine, sparteine, etc., -metabolising), polypeptide 7 pseudogene 1 | CYP2D7AP | CYP2D@ | P450DB1 | RNA40057 | CYP2D7P | Putative cytochrome P450 2D7 | cytochrome P450, subfamily IID (debrisoquine, sparteine, etc., -metabolizing) cluster | CYP2D7 variant 1 | CYP2D6 | cytochrome P450, family 2, subfamily D, polypeptide 7 pseudogene 1 | CYP2D7P1

Understanding The Role of CYP2D7 in Drug Metabolism and Addiction

CYP2D7 (P450C2D) is a gene that encodes for an enzyme in the cytochrome P450 (CYP) family. This enzyme is responsible for metabolizing a wide variety of drugs, including many statins, antidepressants, and opioids.

CYP2D7 is a gene that has been extensively studied because of its role in drug metabolism. Studies have shown that individuals with certain genetic variations in the CYP2D7 gene are more likely to metabolize certain drugs more quickly or more slowly than usual. This can have a significant impact on the effectiveness or safety of these drugs.

One of the most well-known effects of CYP2D7 is its role in drug metabolism of opioids. The CYP2D7 enzyme is responsible for metabolizing opioids, such as oxycodone and hydrocodone, which are used to treat pain and addiction. CYP2D7 genetic variations have been shown to affect the rate at which these drugs are metabolized, and may also affect the effectiveness of the medications.

In addition to its role in drug metabolism, CYP2D7 has also been shown to play a role in the regulation of pain perception. Studies have shown that individuals with certain CYP2D7 genetic variations may be more likely to experience chronic pain, and that these variations may also affect the effectiveness of pain medications.

CYP2D7 has also been shown to play a role in the regulation of addiction. Studies have shown that individuals with certain CYP2D7 genetic variations may be more likely to develop an addiction to drugs, and that these variations may also affect the effectiveness of treatments for addiction.

Despite the potential impact of CYP2D7 genetic variations on drug metabolism and addiction, it is important to note that not all individuals with these variations will experience these effects. The effects of CYP2D7 may vary depending on a number of factors, including the specific genetic variation, the presence of other genetic and environmental factors, and the amount of the drug being metabolized.

In conclusion, CYP2D7 is a gene that has significant implications for drug metabolism and addiction. The effects of this gene have been extensively studied, and research has shown that individuals with certain CYP2D7 genetic variations may be more likely to experience chronic pain, addiction, or other negative consequences associated with drug use. However, not all individuals with these variations will experience these effects, and further research is needed to fully understand the role of CYP2D7 in drug metabolism and addiction.

Protein Name: Cytochrome P450 Family 2 Subfamily D Member 7 (gene/pseudogene)

Functions: May be responsible for the metabolism of many drugs and environmental chemicals that it oxidizes. It may be involved in the metabolism of codeine to morphine (PubMed:15051713). However, another study could not confirm it (PubMed:18838503)

The "CYP2D7 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 CYP2D7 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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