返回
Designed with interactome-based deep learning
DOI:10.1038/s41589-024-01754-7.png)
摘要
En 中文
Predicting prospective drug-like molecules quickly and accurately is a considerable challenge for de novo drug design. An interactome-based deep learning method has been developed that outperforms standard chemical language models.
期刊
IF:
13.7
论文数:
4.8K
被引数:
3.3W
机构
引用论文
Transformer neural network for protein-specific de novo drug generation as a machine translation problem用于蛋白质特异性从头生成药物的Transformer神经网络作为机器翻译问题
SCIENTIFIC REPORTS
IF3.9
Verapamil therapy of atrial fibrillation and atrial flutter following cardiac operation维拉帕米治疗心脏手术后心房颤动和心房扑动
没有更多内容

