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Updated: Jun 11, 2025

Reverse Yeast Two-hybrid System to Identify Mammalian Nuclear Receptor Residues that Interact with Ligands and/or Antagonists
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Reverse Yeast Two-hybrid System to Identify Mammalian Nuclear Receptor Residues that Interact with Ligands and/or Antagonists

Published on: November 15, 2013

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将图形神经网络和变压器结合起来,用于为数次射击的核受体结合活性预测

Luis H M Torres1, Joel P Arrais2, Bernardete Ribeiro2

  • 1Department of Informatics Engineering, Univ Coimbra, Centre for Informatics and Systems of the University of Coimbra, Coimbra, 3030-790, Portugal. luistorres@dei.uc.pt.

Journal of cheminformatics
|September 28, 2024
PubMed
概括

本研究介绍了Meta-GTNRP,这是一种用于预测核受体 (NR) 结合活性的新型GNN-变压器模型. 它通过在多个NR中转移知识,有效地使用有限的数据识别潜在的NR药物候选者.

关键词:
药物发现 药物发现 药物发现有几次射击学习学习图形神经网络的神经网络超级学习 (Meta-Learning) 是一种学习方式.核受体结合活动预测变压器变压器变压器

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