Pseudoknot-carrying nucleic acid structure prediction method based on multi-target genetic algorithm
A multi-target genetic and predictive technology, applied in the analysis of two-dimensional or three-dimensional molecular structures, instruments, biostatistics, etc., can solve the problems of ineffective RNA sequences, high time and space complexity, and reduce Time complexity and space complexity, the effect of improving accuracy and reducing forecast cost
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[0044] In order to make the present invention easier to understand, the technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0045] Such as image 3 Shown, a kind of embodiment of the band pseudoknot nucleic acid structure prediction method based on multi-objective genetic algorithm of the present invention, comprises the following steps:
[0046] S100, set the minimum number of stem regions MinStem, the minimum number of bases in the loop MinLoop, the maximum number of pseudoknots MaxPesudoKnot, the population size N, the mutation rate Pc, the crossover rate Pm, and the maximum evolutionary generation Gen to initialize.
[0047] As a preferred embodiment, in this example, the minimum number of stem regions is set to 2. Since the RNA sequence cannot be folded violently, there must be at least three bases in the loop, so the minimum number of bases in the loop needs to be set to 3 by defaul...
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