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Polypeptide anticancer function identification method, system, medium and equipment

A recognition method and function technology, applied in the field of bioinformatics, can solve problems such as limiting prediction performance, reducing the recognition accuracy of polypeptide anti-cancer functions, affecting the robustness of prediction models, etc., and achieving the effect of improving accuracy

Pending Publication Date: 2021-11-02
SHANDONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the inventors found that the existing method has the problem of feature engineering based on experience, which not only limits the representation ability of the model to a certain extent, but also lacks adaptability to different data, which limits the further improvement of prediction performance and affects the prediction performance. The robustness of the model, which will reduce the accuracy of the identification of the anti-cancer function of the peptide

Method used

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  • Polypeptide anticancer function identification method, system, medium and equipment
  • Polypeptide anticancer function identification method, system, medium and equipment
  • Polypeptide anticancer function identification method, system, medium and equipment

Examples

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Embodiment 1

[0064] This embodiment provides a method for identifying the anti-cancer function of a polypeptide, which specifically includes the following steps:

[0065] Step S101: obtaining the polypeptide sequence;

[0066] Step S102: Input the polypeptide sequence into the trained polypeptide drug anti-cancer function predictor to obtain whether the polypeptide has anti-cancer function.

[0067] refer to figure 2 , the polypeptide drug anticancer function predictor of this embodiment includes an embedding layer, a coding layer and a task-specific layer, and the embedding layer is used to convert each residue of the received polypeptide sequence into a low-dimensional dense vector and in the form of a matrix Output; the encoding layer is used to capture the context of each residual embedding vector in different positions from the matrix output by the embedding layer, and learn the discriminative features of anti-cancer peptides, and output a feature matrix; the task-specific layer is ...

Embodiment 2

[0130] This embodiment provides a polypeptide anticancer function recognition system, which specifically includes the following modules:

[0131] A polypeptide sequence obtaining module, which is used to obtain a polypeptide sequence;

[0132]Anti-cancer function recognition module, which is used to input the polypeptide sequence into the trained polypeptide drug anti-cancer function predictor to obtain whether the polypeptide has anti-cancer function;

[0133] Wherein, the polypeptide drug anticancer function predictor includes an embedding layer, a coding layer and a task-specific layer, and the embedding layer is used to convert each residue of the received polypeptide sequence into a low-dimensional dense vector and output it in the form of a matrix; The encoding layer is used to capture the context of each residual embedding vector at different positions from the matrix output by the embedding layer, and learn the discriminative features of anticancer peptides, and output...

Embodiment 3

[0136] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps in the above-mentioned polypeptide anti-cancer function recognition system are realized.

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Abstract

The invention belongs to the technical field of biological information, and provides a polypeptide anticancer function identification method, system, medium and equipment. The identification method comprises the following steps: acquiring a polypeptide sequence; inputting the polypeptide sequence into the trained anticancer function predictor of the polypeptide drug to obtain whether the polypeptide has an anticancer function or not; wherein the anticancer function predictor of the polypeptide drug comprises an embedding layer, a coding layer and a task specific layer, and the embedding layer is used for converting each residue of a received polypeptide sequence into a low-dimensional dense vector and outputting the low-dimensional dense vector in a matrix form; the coding layer being used for capturing contexts of each residual embedding vector at different positions from the matrix output by the embedding layer, learning identification characteristics of the anti-cancer peptide and outputting a characteristic matrix; and the task specific layer being used for judging the probability that the polypeptide sequence belongs to the anti-cancer peptide according to the characteristic matrix.

Description

technical field [0001] The invention belongs to the technical field of biological information, and in particular relates to a polypeptide anticancer function identification method, system, medium and equipment. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Anticancer peptides (ACPs) are biologically active peptides composed of 10-50 amino acids with antitumor activity, which can be used to produce new anticancer drugs because they can avoid side effects. Compared with traditional anticancer drugs, the most prominent advantage of ACPs is their high specificity. They can target cancer cells by specifically expressing some anionic components (such as phosphorylserine) on the surface of cancer cells and protect normal tissue cells from damage, making them an alternative option for cancer treatment. In addition, the anticancer mechanisms of...

Claims

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Application Information

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IPC IPC(8): G16B15/20G16B25/10G06K9/62G06N3/04G06N3/08
CPCG16B15/20G16B25/10G06N3/08G06N3/045G06F18/214Y02A90/10
Inventor 魏乐义何文嘉崔立真苏苒
Owner SHANDONG UNIV
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