Momentum acceleration-based missing protein interaction prediction device and method

Abstract

The invention discloses a momentum acceleration-based missing protein interaction prediction device and a method. The method comprises the following steps: S1, inputting initial protein interaction data and constructing a symmetric sparse matrix W; S2, constructing a target loss function Q and carrying out iterative optimization; S3, performing momentum acceleration on iterative optimization of the target loss function Q; and S4, calculating a predicted value of the interaction between the deleted proteins. According to the method, the momentum-accelerated symmetric non-negative implicit feature decomposition method is utilized, so that the protein interaction prediction with high accuracy can be quickly performed, and the prediction precision of the interaction between missing proteins under the condition of considering the data symmetry is improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a device and method for predicting interactions between missing proteins based on momentum acceleration. Background technique [0002] The interaction between proteins plays a very important role in people's understanding of life activities. Due to the large variety of proteins, it is difficult to completely determine all the protein-protein interactions of a species through traditional biological experiment methods. However, we can fully predict all the protein-protein interactions of a species through computer design. Therefore, how to quickly and accurately predict missing interactions between proteins through computer design has become an urgent problem to be solved in the industry. [0003] Generally speaking, due to the large number of proteins and only part of the interaction information between proteins is known, the interaction network between proteins is an und...

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Problems solved by technology

[0004] Aiming at the problem in the prior art that the prediction accuracy of missing protein interactions is low under the premise of considering data symmetry, the present invention proposes a device and method for predicting missing protein interactions based on momentum acceleration, by using the symmetry of momentum acceleration Non-negative latent feature decomposition method, which can quickly and accurately predict protein interactions, and improve the prediction accuracy of missing protein interactions considering data symmetry

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