Supporting data for "Utilizing artificial intelligence system to build the digital structural proteome of reef-building corals"

Reef-building corals play an important role in marine ecosystems, and analyzing their proteomes from a structural perspective can assist in the future exploration of their biology. Here we have integrated mass spectrometry with the newly published ColabFold to obtain digital structural proteomes of dominant reef-building corals. <br>We identified 8,382 proteins co-expressed in <i>A. muricata, M. foliosa</i> and <i>P. verrucosa,</i> and 8,166 of these had predicted structures after around 4,060 GPU hours of computation. The resulting dataset covers 83.6% of residues with a confident prediction, while 25.9% have very high confidence. <br>Our work provides insight-worthy predictions for coral research, confirms the reliability of ColabFold in practice, and is expected to be a reference case in the impending high-throughput era of structural proteomics.