Unlock instant, AI-driven research and patent intelligence for your innovation.

An ensemble conformational selection strategy adaptive method for protein structure prediction

A protein structure and selection strategy technology, which is applied in the analysis of two-dimensional or three-dimensional molecular structures, instruments, artificial life, etc., can solve the problems of inaccurate energy function and low prediction accuracy, achieve low conformational energy and improve prediction accuracy , the effect of strong sampling ability

Active Publication Date: 2021-06-18
ZHEJIANG UNIV OF TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the defects of inaccurate energy function and low prediction accuracy of existing protein structure prediction methods, the present invention provides an adaptive protein structure prediction method with high prediction accuracy and an ensemble conformation selection strategy

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • An ensemble conformational selection strategy adaptive method for protein structure prediction
  • An ensemble conformational selection strategy adaptive method for protein structure prediction
  • An ensemble conformational selection strategy adaptive method for protein structure prediction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention will be further described below in conjunction with the accompanying drawings.

[0047] refer to figure 1 and figure 2 , an ensemble conformational selection strategy adaptive protein structure prediction method, comprising the following steps:

[0048] 1) Use PSIPRED (http: / / bioinf.cs.ucl.ac.uk / psipred) to predict the secondary structure information of the query sequence, and use MetaPSICOV (http: / / bioinf.cs.ucl.ac.uk / MetaPSICOV) to predict Interresidue distance contact information of the query sequence;

[0049] 2) Set the initial population size NP, the maximum number of iterations Gen, the crossover probability CR, the input query sequence, the fragment library, the number of fragment assemblies N and the number of iterations g=0;

[0050] 3) Initialize all conformations of the population, and perform N fragment assembly for each conformation in the population;

[0051] 4) Conformation crossover, the operation is as follows:

[0052] 4.1)...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

An adaptive protein structure prediction method based on an ensemble conformation selection strategy. Firstly, the secondary structure information of the query sequence and the contact information between residues are predicted, and a fragment library is constructed; secondly, a similarity scoring function based on the secondary structure information and a residue-based Inter-basic contact evaluation function, design crossover, mutation, selection strategy, design selection strategy based on secondary structure similarity and energy, use population secondary structure similarity convergence, design adaptive probability function of three selection strategies; finally according to The population secondary structure similarity scoring function value, residue contact evaluation function value and energy value realize the population update, and the adaptive protein structure prediction method using the ensemble conformation selection strategy can effectively improve the sampling ability of the algorithm, and the conformation can form a good Secondary structure, predicted low energy conformation. The invention provides an ensemble conformation selection strategy self-adaptive protein structure prediction method with high prediction accuracy.

Description

technical field [0001] The invention relates to the fields of bioinformatics, intelligent information processing, computer application, and protein structure prediction, and in particular to a protein structure prediction method adaptive to an ensemble conformation selection strategy. Background technique [0002] Protein molecules play a vital role in the process of biological and cellular chemical reactions. Their structural models and bioactive states have important implications for our understanding and cure of many diseases. Only when proteins are folded into a specific three-dimensional structure can they produce their unique biological functions. To understand the function of a protein, it is necessary to obtain its three-dimensional structure. Therefore, obtaining the three-dimensional structure of proteins is crucial to human beings. In 1961, Anfinsen proposed the innovative theory that the amino acid sequence determines the three-dimensional structure of proteins...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G16B15/20G16B40/30G06N3/00
CPCG06N3/006
Inventor 张贵军马来发谢腾宇周晓根王小奇王柳静
Owner ZHEJIANG UNIV OF TECH