What are the Challenges in Using Computational Chemistry for Cancer?
Despite its advantages, computational chemistry faces several challenges:
Complexity of Biological Systems: Accurately modeling the complex and dynamic nature of biological systems remains challenging, requiring sophisticated algorithms and significant computational power. Data Quality: The reliability of computational predictions depends heavily on the quality of the input data, which can vary widely. Integration with Experimental Data: Effective integration of computational results with experimental data is essential for validation and refinement of models. Computational Resources: High-performance computing resources are often required, which can be expensive and not readily available to all research institutions.
