**前沿科技：生物学大模型ESM3模拟蛋白质进化过程**
近日，一项关于蛋白质进化模拟的重大突破引起了科研领域的广泛关注。研究团队通过创新的生物学大模型ESM3成功模拟了蛋白质在长达5亿年地质时间尺度上的进化过程。该模型不仅能推理蛋白质的序列、结构和功能，还可以结合其多模态特点，对生物学对齐进行高度敏感的处理。
经过漫长的自然筛选过程，现存蛋白质的形态在三十亿年的自然进化历程中得以形成。ESM3模型正是对这一漫长进化过程的数字化模拟。其创新性在于能够在进化产生的标记上进行训练，成为类似于进化模拟器的工具，并生成具有全新序列但功能保持的蛋白质。研究人员以生成荧光蛋白为例，成功开发出与已知荧光蛋白序列差异巨大（仅58%同源性）的明亮荧光蛋白。这一发现标志着生物信息学和人工智能的结合取得了重大进展。这项研究的预印版文章已提交至bioRxiv预印平台，预计将为蛋白质研究乃至生物进化领域带来革命性的突破。
英语如下：
News Title: Biology Innovation Large Model ESM3: Simulating Protein Evolution to Unravel the Mystery of Life’s Diversity
Keywords: biology large model, protein inference, evolution simulation
News Content: **Frontier Technology: Biology Large Model ESM3 Simulates Protein Evolution Process**
Recently, a major breakthrough in simulating protein evolution has attracted widespread attention in the scientific research field. The research team successfully simulated the evolution of proteins over a geological time scale of 500 million years through the innovative biology large model ESM3. The model not only can infer protein sequences, structures, and functions, but also can process highly sensitive biological alignment in combination with its multi-modal characteristics.
After a long natural selection process, the current forms of proteins have been formed in the course of natural evolution over 3 billion years. The ESM3 model is a digital simulation of this long evolution process. Its innovation lies in its ability to train on evolution-generated markers, becoming a tool similar to an evolution simulator, and generating proteins with new sequences but maintaining their functions. Researchers took generating fluorescent proteins as an example and successfully developed bright fluorescent proteins that differ greatly from known fluorescent protein sequences (with only 58% homology). This discovery marks a major breakthrough in the combination of bioinformatics and artificial intelligence. The preprint of this study has been submitted to the bioRxiv preprint platform and is expected to bring revolutionary breakthroughs to protein research and even the field of biological evolution.
【来源】https://www.jiqizhixin.com/articles/2024-06-26-9
Views: 4