Despite great progress in our understanding of central nervous system (CNS) structure and function, the discovery of new therapeutics has been problematically characterized by high attrition rates. It is increasingly recognized that CNS insults involve complex interactions amongst multiple cell types.
Here, we discuss tractable models that better recapitulate complex cell-to-cell interactions that can be used to interrogate CNS biology and facilitate the drug discovery process. Multicellular tissue models can facilitate target validation for novel targets, however, there are not always suitable tool compounds available to investigate the biology further. We discuss a novel biophysical fragment-based library which can be used to identify novel inhibitors and modulators of CNS targets delivering lead-like compounds for neuroscience drug discovery projects.