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Updated: May 20, 2025

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
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Published on: December 1, 2020

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预测和解释:通过人工智能转化药物发现,以实现高精度的受体-连接体相互作用建模和结合分析

Nissrine Hatibi1, Hassan Ait Benhassou2, Mounia Abik3

  • 1Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes (ENSIAS), Mohammed V University in Rabat, Rabat, Morocco; Prevention and Therapeutics Center, Moroccan Foundation of Advanced Science Innovation and Research (MAScIR), Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco.

Computers in biology and medicine
|May 17, 2025
PubMed
概括

这项研究引入了一种机器学习框架,用于预测受体-连接体相互作用,加速药物发现. 分子表示的早期融合显著提高了预测准确性,并确定了关键的结合特征.

关键词:
人工智能的人工智能是人工智能.药物发现 药物发现分子表示的分子表示.预测建模的预测建模.受体-联结体相互作用

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