推进远程同源性检测：迈向理解和准确预测蛋白质功能的一步。
Advancing remote homology detection: A step toward understanding and accurately predicting protein function.
机构信息
Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115, USA.
出版信息
Cell Syst. 2022 Jun 15;13(6):435-437. doi: 10.1016/j.cels.2022.05.006.
PMID:35709700
Abstract
Identifying homologous proteins with divergent amino acid sequences can add to our understanding of protein evolution, structure, and function. A new study reports the development of a deep-network-based method to identify 6.8 million new Pfam members, a dramatic singular increase that exceeds a decade of accumulation using traditional approaches.
摘要
鉴定氨基酸序列差异较大的同源蛋白可以帮助我们深入了解蛋白质的进化、结构和功能。一项新的研究报告了一种基于深度网络的方法的开发，该方法可用于鉴定 680 万个新的 Pfam 成员，这一显著的增长超过了传统方法十多年的积累。
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