Structure detection method of protein cryoelectron microscopy density map

Abstract

The invention discloses a structure detection method of a protein cryoelectron microscopy density map, which belongs to the field of bioinformatics. The method comprises the following steps of: 1) selecting an atom matching conditions in an atom model to indicate the atom model; 2) selecting a key point in a protein cryoelectron microscopy density map to be inspected and adding the key point to a set M; 3) for a point g in the set M, calculating a point g which is closest to the point p in a set M and is used as a corresponding point to the point p, and adding the point g in a set G; 4) calculating a rotation quaternion q and a translation vector t of the atom model according to the sets P and G; 5) calculating a rotation matrix R according to the rotation quaternion q, and calculating the position of each rotated atom coordinate according to R and t, so as to obtain the matching result of the atom model and the density map, and 6) obtaining the structure of the protein cryoelectron microscopy density map to be detected according to the matching result meeting the requirements. The method has the advantages that the robustness is good, the data model is not required to be coincident with density data, the calculated amount is small, and programming is easy to realize.

Description

technical field [0001] The invention relates to a protein cryo-electron microscope density map structure detection method, which belongs to the field of bioinformatics, in particular to the analysis of cryo-electron microscope density data. technical background [0002] After the drafting of the human genome work is completed, life science will enter the post-gene era, and structural biology will be in a strategically key position. After the determination of the human genome, further research will focus on the structure and function of proteins, especially the three-dimensional structure of proteins , which is a fundamental way to reveal genome function. As an important research method of structural biology, cryo-electron microscopy will play an increasingly important role. For biological samples with two-dimensional crystal structures, cryo-electron microscopy can obtain high-resolution three-dimensional reconstruction images and directly use them to analyze their Spatial ...

AI Technical Summary

Problems solved by technology

At present, the matching algorithm of the existing software is single, the amount of calculation is large, and the effect needs to be improved. To a large extent, it still relies on manual matching.

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