A protein structure prediction method based on secondary structure similarity selection strategy
A protein structure and secondary structure technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of inaccurate energy function and low prediction accuracy, and achieve strong sampling ability, high precision, and reduced The effect of the conformational search space
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[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]...
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