MMFA-DTA:多式特征注意力融合网络用于药物-标亲和力预测,用于对抗SARS-CoV-2的药物重用

Guanxing Chen1, Haohuai He1, Qiujie Lv2

  • 1Artificial Intelligence Medical Research Center, School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong 518107, China.

概括

一个新的深度学习框架,MMFA-DTA,快速选现有药物针对SARS-CoV-2目标的抗病毒潜力. 乙酸被确定为一个有前途的化合物,展示了AI在加速新兴传染病药物发现方面的力量.

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