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Updated: Feb 27, 2026

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多样化的数据库和机器学习模型来缩小RNA结构预测中的概括差距.

Albéric A de Lajarte1, Yves J Martin des Taillades2, Justin Aruda1

  • 1Department of Microbiology, Harvard Medical School, Boston, MA, USA.

Science advances
|February 25, 2026
PubMed
概括

研究人员开发了eFold,这是一种用于RNA二级结构预测的深度学习模型. 这种在各种化学探测数据上训练的模型通过结合结构复杂性,而不仅仅是数据库大小,提高了预测准确性.

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