Our upcoming web-based tool provides a solution for biologists or bioinformaticians, including those without a background in programming, to extract crucial features from Drug SMILES that can be used for AI-based drug development. Our user-friendly web interface, built using our open-source Python library drug-smile-fet, streamlines the feature extraction process and allows for easy upload and download of extracted features in CSV format.
With the ability to extract both traditional molecular descriptors and NLP-based features, our tool has the potential to significantly facilitate the drug discovery process and accelerate the development of new and effective drugs. Researchers can utilize the extracted features to feed machine learning algorithms, potentially making a significant impact on drug development and the healthcare industry.
Stay tuned for more updates on our tool’s release, and how it can help researchers extract crucial features for AI-based drug development using our open source library and user-friendly web interface