RT Journal Article
SR Electronic
T1 Utilizing artificial intelligence system to build the digital structural proteome of reef-building corals
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2022.06.27.497859
DO 10.1101/2022.06.27.497859
A1 Yunchi Zhu
A1 Xin Liao
A1 Tingyu Han
A1 J.-Y. Chen
A1 Chunpeng He
A1 Zuhong Lu
YR 2022
UL http://biorxiv.org/content/early/2022/06/30/2022.06.27.497859.abstract
AB Reef-building corals play an important role in the marine ecosystem, and analyzing their proteomes from a structural perspective will exert positive effects on exploring their biology. Here we integrated mass spectrometry with newly published ColabFold to obtain digital structural proteomes of dominant reef-building corals. 8,382 proteins co-expressed in A. muricata, M. foliosa and P. verrucosa were identified, then 8,166 of them got 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. 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.Competing Interest StatementThe authors have declared no competing interest.