PDB1CD431690

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The PDB1CD431690 (protein domain database model) is a powerful resource that can be used by both scientists and non-scientists. This tool is based on a well-known protein family database called protein domain database (PDB). With the help of PDB1CD431690, researchers can search for homologous domains from a large number of protein domains. This tool is used widely in many different fields such as protein engineering, drug development, and biochemistry.

The PDB1CD431690 application field mainly covers two areas: antigen-binding domain (e.g. immunoglobulin and T-cell receptors) and enzyme-catalytic domains (e.g. metalloenzymes, lyases and oxidases). The applications of PDB1CD431690 have been widely explored in drug discovery, nanotechnology and bioinformatics. This powerful tool is also used in protein engineering to analyze the effect of single mutations on the protein’s stability and activity. It is also used in biocatalyst design, immunology, and in understanding the structure-function relationships of proteins.

The working principle of PDB1CD431690 is based on the 3D structure of proteins and their domains. Through a combination of 3D structural data and machine learning techniques, this system can classify proteins according to their family or sub-family similarity, based on measured levels of similarity. By using this information, researchers can accurately assign proteins to the right family or sub-family. Additionally, the PDB1CD431690 system can also generate potential drug targets by combining structural information and evolutionary data.

The PDB1CD431690 is an effective and powerful resource that is used in various scientific and non-scientific fields. This model is based on the 3D structure of proteins and their domains, and with the help of machine learning techniques, it can accurately assign proteins to the right family or sub-family. This tool has been widely used in protein engineering, drug discovery, and nanotechnology. Additionally, it can also be used in biocatalyst design, immunology, and in understanding the structure-function relationships of proteins.

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