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PlantPTM combines protein language models and multi-view features to predict modification sites in plants

Cell Press News identifies the paper as Molecular Plant's October featured resource article.

Cell PressCP
1 Source, 16h ago, first seen 16h ago

TLDR

Cell Press News highlights PlantPTM, a deep-learning framework described as combining protein language models with multi-view features to predict diverse post-translational modification sites in plants. It identifies the Molecular Plant paper as an October featured resource article.

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1 Source

Cell Press@CellPressNewsPlantPTM: A deep-learning framework integrating protein language models with multi-view features for predicting diverse post-translational modification sites in plants https://www.cell.com/molecular-plant/abstract/S1674-2052(26)00260-1?hss_channel=tw-18477428&utm_campaign=Society%3A+Molecular+Plant&utm_medium=social&dgcid=STMJ_1791276432329_CP_ALT&utm_content=387046468&utm_source=twitter October featured resource article from #MolecularPlant (@MPlantPCom)16h
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    1 Source

    Cell Press@CellPressNewsPlantPTM: A deep-learning framework integrating protein language models with multi-view features for predicting diverse post-translational modification sites in plants https://www.cell.com/molecular-plant/abstract/S1674-2052(26)00260-1?hss_channel=tw-18477428&utm_campaign=Society%3A+Molecular+Plant&utm_medium=social&dgcid=STMJ_1791276432329_CP_ALT&utm_content=387046468&utm_source=twitter October featured resource article from #MolecularPlant (@MPlantPCom)16h
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