Скачать или смотреть Bioinformatics Project from Scratch PART 2 - Preparing the Data Set

In this video, you'll learn how to prepare and clean bioactivity data for the aromatase inhibitors in Python using the RDKit library. We'll cover the process of loading data from the CHEMBL database, removing duplicate molecules, and standardizing SMILES notations (a string representation of a molecule) in order to create a high-quality, non-redundant dataset suitable for machine learning model building and further data analysis.

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