Drug structural similarity

回答: 传统的药物发现方法主要是基于药物的结构相似性来寻找与靶标结合的化合物。这种方法假设相似的结构会结合到相同的靶标上，因此选择与靶标结合的药物的结构类似物作为候选药物。然而，现在也有一种新的基于药物反应的药物发现方法，它通过记忆生成的化合物来避免重复生成相同或相似的化合物，并增加多样性。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [ReSimNet: drug response similarity prediction using Siamese neural networks](https://blog.csdn.net/u010608296/article/details/103404751)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *2* [Chapter6 : Has Artificial Intelligence Impacted Drug Discovery?](https://blog.csdn.net/weixin_52812620/article/details/126067914)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *3* [通过深度学习增强药药反应和药食反应的预测效果](https://blog.csdn.net/qq_36518123/article/details/80064219)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
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