A Protein Structure Prediction Method Based on Secondary Structure Similarity Selection Strategy
A protein structure and secondary structure technology, applied in proteomics, genomics, instruments, etc., can solve the problems of inaccurate energy function and low prediction accuracy, achieve strong sampling ability, high accuracy, and reduce the conformational search space. Effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0031] The present invention will be further described below in conjunction with the accompanying drawings.
[0032] refer to figure 1 and figure 2 , a protein structure prediction method based on a secondary structure similarity selection strategy, comprising the following steps:
[0033] 1) Set population size NP, iteration number G, crossover probability CR, Boltzmann temperature factor KT, input query sequence, fragment library, predicted secondary structure information, iteration number g=0;
[0034] 2) Initialize all conformations of the population, and assemble fragments for each conformation in the population until the dihedral angle of each residue of the conformation has been replaced at least once;
[0035] 3) Conformation crossover, the operation is as follows:
[0036] 3.1) Select the i-th, i∈[1,NP] conformation C i For the target conformation, generate a random number r, r∈[0,1], if r is less than CR, then skip to 3.2), otherwise, skip to step 4);
[0037]...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More