BP Neural Network Prediction Calculation Method of Dipeptide Model Multipole Expansion Attributes
A BP neural network and calculation method technology, which is applied in the field of combining quantum mechanics and molecular mechanics calculations, can solve problems such as unreachable levels, and achieve the effects of short time consumption, reduced calculation amount, and high precision
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[0065] Below in conjunction with example the present invention is described in further detail.
[0066] The content of the present invention is to provide an algorithm method for predicting the multi-pole expansion properties of dipeptide model based on BP neural network. Among them, the properties of multipole expansion include charge, dipole moment, and quadrupole moment of atoms. Non-multipolar distance attributes include the energy of the dipeptide model.
[0067] Such as figure 1 Shown, the present invention comprises the following steps:
[0068] First, the quantum mechanical calculation software Gaussian is used to optimize the structure of different dipeptide conformations under the premise of fixing the dihedral angle of the dipeptide conformation, and calculate the physical and chemical parameters such as the energy and multipolar expansion properties of the dipeptide conformation. Then, the interatomic distances of partial dipeptide conformations and the physicoc...
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