自组织临界性：蛋白质物理学的魔杖
Self-Organized Criticality: A Magic Wand for Protein Physics
摘要：
自组织临界性（SOC）是一个流行的概念，在过去的25年里，已经有超过3000篇文章的主题。在这里，我们表明，SOC可能使理论连接标准的基于网络（BLAST）的短程氨基酸（aa）的相似性，远程aa粗糙形状因子，准确地描述水膜蛋白相互作用的进化趋势。我们的方法利用基于5526个蛋白质片段的亲水性氨基酸度量，从而封装了蛋白质数据库的差分几何特征。它很容易组织人类和邻近物种之间的小aa序列差异。对于视紫红质，研究最多的与夜视相关的跨膜信号蛋白，它表明短距离和长距离aa序列特性与人类，猴子，猫，小鼠和兔子96%的成功率相关。适当的应用SOC承诺前所未有的简化指数复杂的蛋白质序列-结构-功能问题，概念和实践。
英文摘要：
Self-organized criticality (SOC) is a popular concept that has been the subject of more than 3000 articles in the last 25 years. Here we show that SOC may enable theory to connect standard Web-based (BLAST) short-range amino acid (aa) similarities to long-range aa roughening form factors that accurately describe evolutionary trends in water-membrane protein interactions. Our method utilizes a hydropathic aa metric based on 5526 protein segments and thereby encapsulates differential geometrical features of the Protein Data Bank. It easily organizes small aa sequence differences between humans and proximate species. For rhodopsin, the most studied transmembrane signaling protein associated with night vision, it shows that short- and long-range aa sequence properties correlate with 96% success for humans, monkeys, cats, mice and rabbits. Proper application of SOC promises unprecedented simplifications of exponentially complex protein sequence-structure-function problems, both conceptual and practical.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
