Article
Deep representation learning of chemical-induced transcriptional profile for phenotype-based drug discovery.
Nature communications - 25 Jun 2024
Tong Xiaochu, Qu Ning, Kong Xiangtai, Ni Shengkun, Zhou Jingyi, Wang Kun, Zhang Lehan, Wen Yiming, Shi Jiangshan, Zhang Sulin, Li Xutong, Zheng Mingyue
Abstract excerpt
Artificial intelligence transforms drug discovery, with phenotype-based approaches emerging as a promising alternative to target-based methods, overcoming limitations like lack of well-defined targets. While chemical-induced transcriptional profiles offer a comprehensive view of drug mechanisms, inherent noise often obscures the true signal, hindering their potential for meaningful insights. Here, we highlight...
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