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bioRxiv · 10.1101/2022.06.27.497859

Utilizing artificial intelligence system to build the digital structural proteome of reef-building corals

Zhu, Y.·Liao, X.·Han, T.·Chen, J.- Y.·He, C.·Lu, Z.
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Abstract

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.

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Zhu, Y., Liao, X., Han, T., Chen, J.- Y., He, C., Lu, Z.. 2022-06-30. Utilizing artificial intelligence system to build the digital structural proteome of reef-building corals. https://doi.org/10.1101/2022.06.27.497859

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