A Population Protein Structure Prediction Method Based on Dynamic Fragment Length
A protein structure and prediction method technology, applied in the field of population protein structure prediction based on dynamic fragment length, can solve the problems of low prediction accuracy and search efficiency, and achieve the effect of maintaining diversity, speeding up the interaction process, and speeding up the search speed.
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[0031] The present invention will be further described below in conjunction with the accompanying drawings.
[0032] refer to Figure 1 ~ Figure 3 , a population protein structure prediction method based on dynamic fragment length, comprising the following steps:
[0033] 1) Input the sequence information of the protein to be tested, and obtain the fragment library from the ROBETTA server (http: / / www.robetta.org / );
[0034] 2) Parameter setting: set the population size NP, the crossover probability CR, the temperature factor KT, and the maximum number of iterations G max , fragment length set l={l 1 , l 2 ,...,l M}, the selection probability p of each segment length m , m=1,2,...,M, and initialize the number of iterations g=0, where M is the scale of the segment length set;
[0035] 3) Randomly select fragments from the fragment library corresponding to each residue to assemble to generate the initial conformation population P initial ={C 1 ,C 2 ,...,C NP}, where C ...
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