Protein structure ab initio prediction method based on bacterial oraging optimization algorithm

The invention provides a protein structure ab initio prediction method based on a oraging optimization algorithm. The method comprises the steps of making a conformation dihedral angle advance in the random direction according to the property that a bacteria swarm has chemotaxis and aggregation and a natural law of survival of the fittest of the bacteria swarm, and accepting low-energy conformations; eliminating half high-energy conformations after the conformation are aggregated, and using the low-energy conformations to conduct propagation and generate the filial generation; in addition, adopting a migration mechanism to conduct segment assembly on an individual to avoid the situation that the individual falls into local minimum and premature convergence as much as possible, so that the diversity of a group is guaranteed, and therefore the conformation space sampling capacity is effectively improved. The protein structure ab initio prediction method based on the oraging optimization algorithm not only is hi