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Autonomous Directed Rotation of a Minimal Knotted Cyclopeptide

  • Jianmei Wang
  • , Yinghao Luo
  • , Juan Li*
  • *此作品的通讯作者
  • Beijing Institute of Technology
  • Shenzhen MSU-BIT University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Knotted cyclopeptides have significant research value in the field of drug design due to their unique topological structures and superior stability. It is particularly noteworthy that they can convert individual atom thermal vibrations into a directed rotational motion of an entire molecule. Appling this property to the design of drug molecular scaffolds would greatly improve the probability of drug-Target binding and the efficiency of drug delivery systems. However, the minimal molecular complexity required to achieve this directed rotation and its core physical mechanism remain unclear. Therefore, we designed a trefoil knotted cyclopeptide chain composed of nine alanines (9-ALA), which is the shortest knotted cyclopeptide that can be constructed without atomic steric collision. Using all-Atom molecular dynamics simulations, we systematically studied its dynamic behaviors in both vacuum and explicit solvent. The results indicate that 9-ALA can achieve directed rotation of the entire molecule through atomic thermal vibrations in both environments, thereby establishing the minimal molecular complexity required for this phenomenon and verifying the physical mechanism that a simple topological knot is sufficient to convert disordered atomic thermal vibrations into ordered directed rotation of the molecule. Finally, we suggest 9-ALA as the minimal physical model for functionalized molecules. Combining the research framework of the "atomic vibration to molecule rotation"transformation mechanism with intelligent optimization algorithms, provides a new research perspective for design of functionalized knotted cyclopeptides with specific rotation.

源语言英语
主期刊名Proceedings of 2026 International Symposium on Biological Neural Networks and Intelligent Optimization, BNNIO 2026
出版商Association for Computing Machinery, Inc
17-21
页数5
ISBN(电子版)9798400722325
DOI
出版状态已出版 - 14 5月 2026
活动2026 International Symposium on Biological Neural Networks and Intelligent Optimization, BNNIO 2026 - Zhuhai, 中国
期限: 16 1月 202618 1月 2026

出版系列

姓名Proceedings of 2026 International Symposium on Biological Neural Networks and Intelligent Optimization, BNNIO 2026

会议

会议2026 International Symposium on Biological Neural Networks and Intelligent Optimization, BNNIO 2026
国家/地区中国
Zhuhai
时期16/01/2618/01/26

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