Integrated experimental and computational approaches to analyze TNF superfamily ligand-receptor interactions

The TNF superfamily, composed of cytokines and their receptors, plays a central role in regulating immune responses, apoptosis, inflammation, and tissue regeneration. TNF itself is a key orchestrator of the cytokine cascade in many diseases and is often described as a "master regulator." It engages in complex ligand-receptor interactions, making the study of these dynamics essential for the development of new therapeutic strategies. This review summarizes the current experimental and computational tools used to study ligand-receptor interactions within the TNF superfamily, highlighting both their strengths and limitations. Particular attention is given to methods for analyzing protein-protein interactions, which are fundamental to deciphering the regulatory functions of this family. While traditional in vitro, in vivo, and in situ approaches have confirmed numerous authentic ligand-receptor pairs, in silico analyses reveal a much broader landscape of predicted interactions. These computational predictions do not represent experimentally validated binding events; rather, they indicate possible ligand-receptor compatibilities based on structural homology, interface similarity, and docking-derived binding energies. Such predictions suggest that the TNF interaction network may be more extensive than previously recognized, underscoring the need for systematic experimental validation to uncover additional biologically relevant interactions.