Our BEAM Platform offers comprehensive analysis of AI-predicted protein structures to support your research. We help you evaluate and interpret computationally generated models, assessing their quality, relevance and functional implications. A key strength of this service is the integration of experimental data with predicted structures: we can map hydrogen-deuterium exchange mass spectrometry (HDX-MS) and cross-linking mass spectrometry (XL-MS) results onto your models, providing valuable insights into protein dynamics, conformational changes, and inter- and intramolecular interactions. Building on this, we also perform integrative modelling using XL-MS data, combining experimental distance restraints with computational predictions to generate and optimize structural models of proteins and complexes. This combined approach fuses in silico predictions with experimental evidence, delivering a more complete and validated understanding of protein architecture and function.