Technical University of Munich (TUM) School of School of Computation, Information and Technology (CIT), Bioinformatics and Computational Biology - i12, 85748 Garching/Munich, Germany
Technical University of Munich (TUM) School of School of Computation, Information and Technology (CIT), Bioinformatics and Computational Biology - i12, 85748 Garching/Munich, Germany.
Cold Spring Harb Perspect Biol. 2024 Sep 3;16(9):a041458. doi: 10.1101/cshperspect.a041458.
From over to , the recent decade of exponential advances in artificial intelligence (AI) has been altering life. In parallel, advances in computational biology are beginning to decode the language of life: leaped forward in protein structure prediction, and protein language models (pLMs) replaced expertise and evolutionary information from multiple sequence alignments with information learned from reoccurring patterns in databases of billions of proteins without experimental annotations other than the amino acid sequences. None of those tools could have been developed 10 years ago; all will increase the wealth of experimental data and speed up the cycle from idea to proof. AI is affecting molecular and medical biology at giant steps, and the most important might be the leap toward more powerful protein design.
从过去到现在，人工智能（AI）在最近十年呈指数级发展，改变了生活。与此同时，计算生物学的进步也开始解码生命的语言：在蛋白质结构预测方面取得了飞跃，蛋白质语言模型（pLMs）取代了来自多个序列比对的专业知识和进化信息，转而使用从数十亿没有实验注释的蛋白质数据库中重复出现的模式中学习到的信息。这些工具都不可能在 10 年前开发出来；所有这些工具都将增加实验数据的丰富度，并加快从想法到证明的周期。人工智能正在以巨大的步伐影响分子和医学生物学，其中最重要的可能是朝着更强大的蛋白质设计的飞跃。
