Google DeepMind发布AlphaGenome 2预测DNA变异影响
Beside all the frontier releases, this sadly gets too little attention. But its…
DeepMind发布AlphaGenome 2,在药物靶点发现的生物计算领域取得显著进展,性能大幅提升,值得关注。
Beside all the frontier releases, this sadly gets too little attention. But its super significant what Google released today:
在所有前沿发布中,这个 sadly 得到的关注太少了。但谷歌今天发布的超级重要:
Google DeepMinds AlphaGenome 2 could help researchers find better targets for new drugs by predicting how DNA changes affect specific cells.
Google DeepMind 的 AlphaGenome 2 可以通过预测 DNA 变化如何影响特定细胞,帮助研究人员找到更好的新药靶点。
The same genetic change can have different effects depending on the cell. Knowing where it acts could help scientists identify which gene or biological process to investigate.
同样的基因变化可能因细胞不同而产生不同的影响。知道它在哪里起作用,可以帮助科学家确定应该调查哪个基因或生物过程。
In a test across 28 immune cell types, DeepMind says AlphaGenome 2 identified 30% of variants that causally affect gene activity, compared with 16% for an adapted version of its first model.
在针对 28 种免疫细胞类型的测试中,DeepMind 表示 AlphaGenome 2 识别出了 30% 对基因活性有因果影响的变异,而经过适配的第一代模型版本仅为 16%。
It also reproduced a known finding linking a DNA variant to inflammation in gut immune cells. That gives researchers a more specific starting point for testing potential treatments in the lab.
它还重现了一个已知发现,即一种 DNA 变异与肠道免疫细胞的炎症有关。这为研究者在实验室中测试潜在疗法提供了更具体的起点。
So tl;dr AlphaGenome 2 could help researchers find better drug targets by predicting how DNA changes affect specific cells. Which is super helpful. And since many people asked me recently when we see real value created with the help of AI: Here you go guys.
所以简而言之:AlphaGenome 2 可以通过预测 DNA 变化如何影响特定细胞,帮助研究人员找到更好的药物靶点。这非常有用。而且由于最近很多人问我何时能看到 AI 带来的真正价值:看这里,伙计们。
Congrats @GoogleDeepMind !
恭喜 @GoogleDeepMind !
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看懂新闻只是起点——沿量化金融路径,把它变成能交付的工程能力