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标题：HyperBeta: characterizing the structural dynamics of proteins and self-assembling peptides
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作者：Marco S. Nobile ; Federico Fontana ; Luca Manzoni 等
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2021
卷号：11
DOI：10.1038/s41598-021-87087-0
语种：English
出版社：Springer Nature
摘要：Self-assembling processes are ubiquitous phenomena that drive the organization and the hierarchical formation of complex molecular systems. The investigation of assembling dynamics, emerging from the interactions among biomolecules like amino-acids and polypeptides, is fundamental to determine how a mixture of simple objects can yield a complex structure at the nano-scale level. In this paper we present HyperBeta, a novel open-source software that exploits an innovative algorithm based on hyper-graphs to efficiently identify and graphically represent the dynamics of \documentclass[12pt