关于在预测蛋白质分子功能时需要包括多种类型的证据的必要性
bioRxiv : the preprint server for biology
|January 8, 2024
概括
分子生物学中的人工智能可以预测蛋白质功能,但与真正的新奇性作斗争. 对大肠杆菌中YciO蛋白的AI预测进行了批判性分析,强调了过度预测的风险.
科学领域:
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
- 人工智能的人工智能是人工智能.
背景情况:
- 机器学习平台正在改变分子生物学,帮助完成诸如蛋白质结构预测和功能分析等任务.
- 当前的人工智能模型是根据现有数据进行训练的,这限制了它们对真正科学发现和新性的能力.
结论:
- 声称人工智能发现了新的蛋白质功能,需要仔细审查.
- 对大肠杆菌中YciO蛋白质预测的分析表明了过度依赖AI的潜在陷.
- 研究人员必须对人工智能产生的假设保持谨慎,这些假设超出了既定知识.
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