预测|英国两院院士领衔，中外专家畅谈AI药物发现（上）( 五 )_问题|刘大鹏博|药物|领域|结构

be found more accurately using RNA than proteins? In such case, how will the pharmaceutical landscape changes in the future?
Answer:
I am not sure that the 4 bases in RNA versus 20 amino acids makes RNA 3D structure prediction easier. There are other constraints like how the structures are formed – in the case of RNA by multiple base-base interactions. I also think that the power of the AI is in some senses determined by the “training data sets” available. Nevertheless, I suspect that there will be similar progress driven by AI in the RNA structure area. This will be important for drug discovery as it may inform the design of small molecules that act directly at the level of mRNAs. While there has been some work in this area, it is still rare compared to drugs targeting proteins. So I think you are correct – this may pave the way forward to opening new exciting drug discovery possibilities at the mRNA level.
本文中的观点仅代表受访者个人观点，并不一定反映安永全球机构或其成员机构的观点。

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*安永研究院是应用于安永商务技能培训（上海）有限公司的知识枢纽品牌概念
【预测|英国两院院士领衔，中外专家畅谈AI药物发现（上）】本文是为提供一般信息的用途所撰写，并非旨在成为可依赖的会计、税务、法律或其他专业意见。请向您的顾问获取具体意见。

预测|英国两院院士领衔，中外专家畅谈AI药物发现（上）( 五 )

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