الفهرس 
Abstract
Representing Structures of Proteins in DatabasesOnly 14 pages are availabe for public view
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Abstract
In the field of molecular chemistry, proteins function, interact, and form bonds with each other based on their tertiary structures. Modulating their tertiary structures to regulate their interactions with other molecular partners is a complex task due to the natural dynamic nature of protein molecules under physiological conditions. Tertiary protein structures are large and highly complex molecules that play critical roles in various biological processes. However, these structures often contain uncharted regions or regions that require remodeling, known as missing regions of protein structure. These missing regions can pose challenges in designing protein structures, particularly in the context of loop modeling, circular permutation, and interface prediction.
The implications of accurate protein structure prediction are far-reaching. Protein structures provide critical insights into their functions, interactions, and dynamics. Accurate prediction of protein structures can aid in drug discovery, enzyme design, and understand disease mechanisms at the molecular level. It can also facilitate the design of protein-based materials with tailored properties for various applications, such as biofuels, nanotechnology, and bio-catalysis. Moreover, accurate protein structure prediction can greatly expedite the experimental determination of protein structures by providing reliable initial models for experimental methods and guiding the design of experiments.