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A lightweight visualization tool for protein unfolding by collision detection and elimination

Authors :
Hua Qian
Yu Chen
Yelu Jiang
Source :
Frontiers in Computer Science, Vol 6 (2024)
Publication Year :
2024
Publisher :
Frontiers Media S.A., 2024.

Abstract

The experiments involving protein denaturation and refolding serve as the foundation for predicting the three-dimensional spatial structures of proteins based on their amino acid sequences. Despite significant progress in protein structure engineering, exemplified by AlphaFold2 and OmegaFold, there remains a gap in understanding the folding pathways of polypeptide chains leading to their final structures. We developed a lightweight tool for protein unfolding visualization called PUV whose graphics design is mainly implemented by OpenGL. PUV leverages principles from molecular biology and physics, and achieves rapid visual dynamics simulation of protein polypeptide chain unfolding through mechanical force and atom-level collision detection and elimination. After a series of experimental validations, we believe that this method can provide essential support for investigating protein folding mechanisms and pathways.

Details

Language :
English
ISSN :
26249898
Volume :
6
Database :
Directory of Open Access Journals
Journal :
Frontiers in Computer Science
Publication Type :
Academic Journal
Accession number :
edsdoj.177d22e2e13b40e2a2e2ceb1d38ba14f
Document Type :
article
Full Text :
https://doi.org/10.3389/fcomp.2024.1415648