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An AI-generated proteome-scale dataset of predicted protein structures for the ctenophore Mnemiopsis leidyi.


ABSTRACT: 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.

SUBMITTER: Moreland RT 

PROVIDER: S-EPMC11296891 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature

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An AI-generated proteome-scale dataset of predicted protein structures for the ctenophore Mnemiopsis leidyi.

Moreland R Travis RT   Zhang Suiyuan S   Barreira Sofia N SN   Ryan Joseph F JF   Baxevanis Andreas D AD  

Proteomics 20240208 15


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 demonstr  ...[more]

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