Co-Scientist 找"跨物种溢出的分子开关"：把2-3年的收敛活压到6个月
Finding the molecular switches behind new infectious diseases
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导读
Google DeepMind 科研案例：多数新发传染病来自病原跨物种传播(Ebola、HIV、流感、新冠)。剑桥大学教授 Clare Bryant 用 Co-Scientist 寻找病原跨物种后引发脓毒症等重症的"分子开关"：先喂入一份禽-人流感基金申请摘要，工具生成并排序一批假设；获批后再喂完整申请，Co-Scientist 把她原先没盯的一个蛋白(与多条她关注的信号通路相连)排到前列，几轮迭代后假设从候选蛋白细化到可实验的具体氨基酸位点。其团队正构建携带这些突变的细胞系验证；Bryant 说做到"锁定精确氨基酸"通常要2-3年实验工作，现在有望6个月完成。
主体与标签
Clare BryantCo-Scientist#论文/研究#数据/训练
正文
The majority of emerging infectious diseases are caused by pathogens that jump from animals to humans, such as Ebola, HIV, flu and Covid-19. Professor Clare Bryant at the University of Cambridge is using Co-Scientist to hunt for the molecular switches that cause severe diseases, like sepsis, in humans when pathogens leap between species, and find new approaches to prevent this happening.
Testing Co-Scientist, Bryant fed it a summary of one of her grant proposals studying flu in birds and humans outlining her lab’s research questions. The tool generated and ranked a set of promising hypotheses — some she'd already considered, some she hadn't. The unfamiliar ones were the most thought-provoking.
When the grant was funded, Bryant fed in the full, detailed proposal. Later, reading through the output on a train to Brussels, she had an "a-ha!" moment: Co-Scientist had prioritised a protein that hadn’t been on her radar, connected to several signalling pathways she was already interested in. She spent the rest of the week itching to give it more data.
Back at her lab, she added unpublished material, kept confidential within Co-Scientist. With each back-and-forth, the hypotheses sharpened, moving from candidate proteins down to the specific amino acids her lab could focus its experiments on.
Bryant's team is now building cell lines containing the amino acid mutations to test the refined hypotheses. To get to the point of identifying precise amino acids would normally have taken two to three years of experimental work. But her lab is now on track to complete it in six months, she says, if the work with Co-Scientist has led them to the right targets.