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Semen protein prediction method based on convolutional neural network

A technology of convolutional neural network and prediction method, which is applied to the analysis of two-dimensional or three-dimensional molecular structure, sequence analysis, instruments, etc., to achieve the effect of improving accuracy

Inactive Publication Date: 2020-02-21
JILIN UNIV
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  • Application Information

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Problems solved by technology

However, currently, there is still a gap in the known computational methods for predicting semen proteins

Method used

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  • Semen protein prediction method based on convolutional neural network
  • Semen protein prediction method based on convolutional neural network
  • Semen protein prediction method based on convolutional neural network

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Experimental program
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Embodiment Construction

[0050] The prediction method of the semen protein based on convolutional neural network, comprises the following steps:

[0051] 1. The establishment of the data set

[0052] (1) Positive sample data set collection

[0053] By searching biologically relevant literature and existing databases, the protein information in semen that has been verified by biological experiments is entered into the computer as a positive sample for model training.

[0054](2) Negative sample data set collection

[0055] Delete the protein family information corresponding to the positive sample in step 1 in the Pfam protein family information database, search for protein families with more than 5 proteins in the family in the remaining protein family information database, and randomly select 5 protein information from these protein families Enter the computer as negative samples for model training.

[0056] (3) Model training data set segmentation

[0057] The sample data of all positive samples ...

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Abstract

The invention discloses a semen protein prediction method based on a convolutional neural network, and belongs to the technical field of big data and artificial intelligence. According to the method,a protein list verified by biological experiments in semen of existing literatures and databases is used as a positive sample for model training; protein family information corresponding to the positive sample is deleted from a Pfam protein family information database, protein families with the number of proteins exceeding 5 in the families are searched for in the remaining protein family information database, and five pieces of protein information are randomly selected from the protein families to serve as negative samples for model training. The method also comprises the steps of dividing the positive sample data and the negative sample data into a training set, a verification set and a test set; carrying out feature selection on protein features, building a model, training the model byusing the training set, carrying out parameter adjustment on the verification set, and carrying out performance evaluation on the test set. The input is a protein feature, and the output is a prediction result, so that the semen prediction accuracy is improved, and finally, semen protein prediction is realized.

Description

technical field [0001] The invention belongs to the technical fields of big data and artificial intelligence, and in particular relates to a prediction method of semen protein based on a convolutional neural network. Background technique [0002] Normal semen is a viscous liquid mixture consisting of spermatozoa and seminal plasma, which accounts for more than 90% of the volume of semen. The study of semen protein has potential significance for the etiology analysis and research target of male infertility, the exploration of the mechanism of male infertility, and the exploration of new targets for male contraception. However, currently, there is still a gap in the known computational methods for predicting semen proteins. [0003] Therefore, there is an urgent need for a novel technical solution in the prior art to solve this problem. Contents of the invention [0004] The technical problem to be solved by the present invention is to provide a method for predicting semen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B40/20G16B30/00G16B15/00
CPCG16B15/00G16B30/00G16B40/20
Inventor 黄岚邵丹王岩何凯杨森白天
Owner JILIN UNIV
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