Signaling Dynamics in Osteogenesis: Unraveling Therapeutic Targets for Bone Generation.

Diseases affecting bone encompass a spectrum of disorders, from prevalent conditions such as osteoporosis and Paget's disease, collectively impacting millions, to rare genetic disorders including Fibrodysplasia Ossificans Progressiva (FOP). While several classes of drugs, such as bisphosphonates, synthetic hormones, and antibodies, are utilized in the treatment of bone diseases, their efficacy is often curtailed by issues of tolerability and high incidence of adverse effects. Developing therapeutic agents for bone diseases is hampered by the fact that numerous pathways regulating bone metabolism also perform pivotal functions in other organ systems.

Graph neural networks for the identification of novel inhibitors of a small RNA.

MicroRNAs (miRNAs) play a crucial role in post-transcriptional gene regulation and have been implicated in various diseases, including cancers and lung disease. In recent years, Graph Neural Networks (GNNs) have emerged as powerful tools for analyzing graph-structured data, making them well-suited for the analysis of molecular structures. In this work, we explore the application of GNNs in ligand-based drug screening for small molecules targeting miR-21.