The NDE1P2 gene is a pseudogene related to NDE1 (Nuclear Distribution Gene E Homolog 1), which plays roles in cell division and neuronal development. Pseudogenes are segments of DNA that resemble functional genes but are typically non-coding or have lost their protein-coding ability.

### Additional Information:

1. **Associated Genes:**
   - **NDE1:** The functional homolog, which participates in neurogenesis and may be implicated in neurodevelopmental disorders.
   - **Other related genes:** There may be associations with other genes involved in neuronal function or mitotic processes. However, specific associations are less documented due to the pseudogene nature of NDE1P2 and its limited functional studies.

2. **Aging and Age-Related Diseases:**
   - Currently, specific associations between NDE1P2 and aging or age-related diseases have not been extensively documented in scientific literature. However, since it is a pseudogene associated with NDE1, any indirect roles in neurodegeneration, age-related cognitive decline, or cell division imbalances might merit further investigation.

3. **Drug Interactions:**
   - As a pseudogene, NDE1P2 is not typically involved in direct drug interactions. There are unlikely to be specific drugs or drug classes targeting this pseudogene, but any related pathways influenced by the functional NDE1 might be indirectly affected by drugs targeting neurodevelopmental or mitotic pathways.

4. **Pathways and Biological Processes:**
   - Given its relationship to NDE1, NDE1P2 may play a role in:
     - **Cell Division:** Influencing spindle orientation and chromosomal arrangements during mitosis.
     - **Neurogenesis:** Potential impacts on neuronal differentiation and development, indirectly influencing neurodevelopmental pathways.
   - However, being categorized as a pseudogene implies that its direct contribution to these pathways is limited or non-existent.

In summary, while NDE1P2 is connected with the functional NDE1, detailed exploration regarding its indirect impacts on aging, disease associations, drug interactions, and metabolic pathways remains an area that could benefit from more empirical research.