Publication at Faculty of Mathematics and Physics |
2023
Abstract
Protein three-dimensional structure drives binding interactions, thus enabling proteins to perform their functions. However, a structure can undergo structural changes due to the changing environment.
Analysis of datasets covering these structural states is challenging in terms of complexity and time consumption. Therefore, we propose a database framework designed to store, retrieve, and visualize information about changing structure conformations.
The framework enables navigation between the series of transformations and investigation of each transformation individually via a web application. The framework sets the stage for a more accessible analysis of the dynamic molecular processes.