Hydrogen Bonds and Kinematic Mobility of Protein Molecules

Author:

Shahbazi Zahra1,Ilieş Horea T.1,Kazerounian Kazem1

Affiliation:

1. Department of Mechanical Engineering, University of Connecticut, Storrs, CT 06269

Abstract

Modeling protein molecules as kinematic chains provides the foundation for developing powerful approaches to the design, manipulation, and fabrication of peptide based molecules and devices. Nevertheless, these models possess a high number of degrees of freedom (DOFs) with considerable computational implications. On the other hand, real protein molecules appear to exhibit a much lower mobility during the folding process than what is suggested by existing kinematic models. The key contributor to the lower mobility of real proteins is the formation of hydrogen bonds during the folding process. In this paper, we explore the pivotal role of hydrogen bonds in determining the structure and function of the proteins from the point of view of mechanical mobility. The existing geometric criteria on the formation of hydrogen bonds are reviewed and a new set of geometric criteria is proposed. We show that the new criteria better correlate the number of predicted hydrogen bonds with those established by biological principles than other existing criteria. Furthermore, we employ established tools in kinematics mobility analysis to evaluate the internal mobility of protein molecules and to identify the rigid and flexible segments of the proteins. Our results show that the developed procedure significantly reduces the DOF of the protein models, with an average reduction of 94%. Such a dramatic reduction in the number of DOF can have enormous computational implications in protein folding simulations.

Publisher

ASME International

Subject

Mechanical Engineering

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Evolving Role of Robot Kinematics in Bio-Nanotechnology;Springer Proceedings in Advanced Robotics;2024

2. Sign Gradient Descent Algorithms for Kinetostatic Protein Folding;2023 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS);2023-10-09

3. Wave space sonification of the folding pathways of protein molecules modeled as hyper-redundant robotic mechanisms;Multimedia Tools and Applications;2023-05-30

4. Chetaev Instability Framework for Kinetostatic Compliance-Based Protein Unfolding;IEEE Control Systems Letters;2022

5. Quadratic Optimization-Based Nonlinear Control for Protein Conformation Prediction;IEEE Control Systems Letters;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3