A Protein Structure Prediction Method Based on Tree-structured Copy Exchange and Fragment Assembly

Abstract

A protein structure prediction method based on tree structure copy exchange and fragment assembly, including the following steps: the protein conformation is based on the idea of ​​copy exchange, so as to enhance the search for the protein conformation space on the basis of retaining the information of multiple copies, and use the tree structure The advantages of the data structure, coupled with the use of energy hierarchy and shape information of protein intermediate conformations, and the use of specific weight functions to select a certain probability for the entire protein conformation space as a copy of the compilation, guide the protein conformation towards the energy The path stepping is low, and the diversity of protein conformation is preserved as much as possible, so as to finally predict the natural state of protein. The invention can greatly reduce the amount of calculation, shorten the calculation time, and at the same time ensure that the conformation with lower energy is searched.

Description

technical field [0001] The invention relates to the field of computer application, bioinformatics, algorithm optimization, optimization theory, molecular informatics, and in particular to a three-dimensional structure prediction method of protein structure. Background technique [0002] Bioinformatics reveals the biological mysteries endowed by large and complex biological data through the integrated use of biology, computer science and information technology. is a hotspot of current research. Bioinformatics research results have been widely used in sequence alignment, protein alignment, gene recognition analysis, molecular evolution, sequence contig assembly, genetic code, drug design, biological systems, protein structure prediction, etc. Among them, protein structure prediction is an important branch in the field of bioinformatics. [0003] Protein molecules play an important role in the cellular activities of organisms, and many activities of organisms are based on the...

AI Technical Summary

Problems solved by technology

However, using computer computing power and optimization algorithms to predict the three-dimensional structure of proteins through protein sequence information, that is to say, the problem of protein folding is still a difficult problem.

[0006] The difficulty of protein structure prediction is mainly in two aspects, firstly, the energy model used for protein structure prediction is not accurate, and secondly, the conformational space of protein is extremely large and complex

Images