DrugTargetCom 0.1.2

Genetic Algorithm Based Combination Therapy Finder

""" Please cite the app if you use it: Asfa, S. S., & Arshinchi Bonab, R. (2024). DrugTargetTool1.0.0: Genetic Algorithm Based Combination Therapy Finder (1.0.0). Zenodo. (https://doi.org/10.5281/zenodo.13274567)

DrugTargetCom is a tool for optimizing drug combinations using a genetic algorithm. Targeting the same proteins is crucial for improving treatment efficacy and reducing the likelihood of drug resistance. By simultaneously modulating the same targets, this approach can achieve a more potent therapeutic effect, especially in complex diseases like cancer.

Methods

DrugTargetCom employs a genetic algorithm to discover optimal drug combinations. By simulating evolutionary processes, the tool efficiently explores potential combinations, evaluating them based on their ability to target key proteins.

Usage

To use DrugTargetCom, you should have an excel or csv file containing two columns Drug and Target. Import and run: combination_therapy(file_path = "example.xlsx", num_top_drugs = 5)

Jupyter Notebook:

!pip install DrugTargetCom from drugtargetcom import combination_therapy combination_therapy(file_path= "drugtargets.xlsx", num_top_drugs= 2)

Google Colab Notebook:

pip install DrugTargetCom from drugtargetcom import combination_therapy combination_therapy(file_path= "drugtargets.xlsx", num_top_drugs= 2)