Multimodal Data Acquisition and Preprocessing

Identify and gather example datasets for small molecules (e.g., SMILES), protein targets (e.g., FASTA sequences), and associated biological activity or disease information. Design and implement a Python-based pipeline to preprocess and clean these diverse data types, converting them into formats suitable for a multimodal AI model. Document your data sources and preprocessing steps.