This Dataset Brief describes the computational prediction of protein structures for the ctenophore Mnemiopsis leidyi. Here, we report the proteome-scale generation of 15,333 protein structure predictions using AlphaFold, as well as an updated implementation of publicly available search, manipulation, and visualization tools for these protein structure predictions through the Mnemiopsis Genome Project Portal (https://research.nhgri.nih.gov/mnemiopsis). The utility of these predictions is demonstrated by highlighting comparisons to experimentally determined structures for the light-sensitive protein mnemiopsin 1 and the ionotropic glutamate receptor (iGluR). The application of these novel protein structure prediction methods will serve to further position non-bilaterian species such as Mnemiopsis as powerful model systems for the study of early animal evolution and human health.

中文翻译：

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AI 生成的栉水母 Mnemiopsis leidyi 预测蛋白质结构的蛋白质组规模数据集

该数据集简介描述了栉水母Mnemiopsis leidyi蛋白质结构的计算预测。在这里，我们报告了使用 AlphaFold 生成的 15,333 个蛋白质结构预测的蛋白质组规模，以及通过Mnemiopsis基因组项目门户 (https://research .nhgri.nih.gov/mnemiopsis）。通过强调与实验确定的光敏蛋白 mnemiopsin 1 和离子型谷氨酸受体 (iGluR) 结构的比较，证明了这些预测的实用性。这些新颖的蛋白质结构预测方法的应用将有助于进一步将非对称动物物种（例如Mnemiopsis）定位为研究早期动物进化和人类健康的强大模型系统。