Salmonella-resistant nano material screening system

Abstract

The invention discloses an anti-salmonella nanometer material screening system. The system comprises the following steps: designing a candidate material structure through molecular dynamics simulation; performing comparative observation on the synthetic material and antibiotics, and collecting drug sensitivity test images to form a data set; training a computer vision model to automatically distinguish the antibacterial effect; carrying out high-throughput automatic testing on the candidate material by using a microfluidic platform; efficient screening is carried out according to the test effect; the system can realize automatic mining of the anti-salmonella nanometer material.

Description

Technical Field

[0001] The invention relates to the field of pathogenic bacteria drug development, and in particular to an anti-Salmonella nanomaterial screening system. Background Art

[0002] Salmonella is a common foodborne pathogen with strong pathogenicity and wide distribution. Food contamination caused by it has become a global public safety and health issue. Salmonella infection can cause severe gastroenteritis, typhoid fever, sepsis and other diseases, posing a serious threat to human health. Therefore, the development of effective anti-Salmonella drugs and detection methods is of great significance to ensure food safety and public health.

[0003] However, although nanomaterials have shown great potential in pathogen detection and drug screening, the screening system for anti-Salmonella nanomaterials is still faced with many challenges. How to efficiently and accurately screen out nanomaterials with excellent antibacterial properties is a problem to be solved urgently. Therefore, the present invention aims to provide an anti-Salmonella nanomaterial screening system to overcome the deficiencies of the prior art and provide new technical means for the development of anti-Salmonella drugs. Summary of the invention

[0004] The present invention is made in view of the above situation, and its purpose is to provide an anti-Salmonella nanomaterial screening system, which designs the candidate material structure through molecular dynamics simulation; trains the computer vision model to automatically distinguish the antibacterial effect; uses a microfluidic platform to perform high-throughput testing, realizes efficient screening, and completes the automated discovery of Salmonella nanomaterials.

[0005] The present invention provides an anti-Salmonella nanomaterial screening system, the system comprising:

[0006] Design of candidate anti-Salmonella nanomaterials using molecular dynamics simulations;

[0007] Training computer vision models for automatic identification of antimicrobial effects;

[0008] High-throughput screening of antibacterial materials was performed using microfluidic chips and the computer vision model.

[0009] In one possible implementation, a large number of directed generation of random nanomaterial structures is performed via molecular dynamics simulations.

[0010] In a possible implementation, the molecular dynamics simulation is aimed at the interaction between the two-dimensional nanomaterial and the Salmonella cell membrane.

[0011] In a possible implementation, the computer vision model is trained to perform automatic recognition, and the output result is a score of the direct effect of the nanomaterial on Salmonella.

[0012] In a possible implementation, the structure of the microfluidic chip is a microwell array that simultaneously accommodates Salmonella and separates and stores candidate nanomaterials.

[0013] In a possible implementation, the output result of the high-throughput screening is a composite data structure indicating the position, nanomaterial number and drug sensitivity score.

[0014] The present invention provides an anti-Salmonella nanomaterial screening system, which forms candidate nanomaterial structures through molecular dynamics simulation, trains a visual system for automatic drug sensitivity recognition, and performs high-throughput screening through a microfluidic chip to achieve efficient anti-Salmonella nanomaterial discovery. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a processing flow chart of the anti-Salmonella nanomaterial screening system of the present invention. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present invention.

[0017] Figure 1 It is a processing flow chart of the anti-Salmonella nanomaterial screening system of the present invention.

[0018] like Figure 1 As shown, a system for screening anti-Salmonella nanomaterials comprises the following steps:

[0019] Step 101, randomly generate a two-dimensional nanomaterial structure and arrange atoms according to crystallographic theory.

[0020] Step 102, a molecular dynamics simulation is performed on the interaction between the nanomaterial and Salmonella, mainly studying the interaction relationship between the nanomaterial and the Salmonella cell wall and cell membrane.

[0021] Among them, molecular dynamics simulation technology is used to conduct a large number of guided simulations and optimizations on randomly generated nanomaterial structures. This step pays special attention to the interaction between two-dimensional nanomaterials and Salmonella cell membranes, and predicts their potential antibacterial properties by simulating the effects of different nanomaterial structures on cell membranes.

[0022] Step 103, compare with the effect of antibiotics and establish an image data set as a labeling basis for training data.

[0023] Step 104, training the visual model by annotating the data to obtain an intelligent model with drug sensitivity evaluation capability.

[0024] Among them, a computer vision model is trained to automatically identify the antibacterial effect of nanomaterials. The model is trained with a large amount of labeled image data of the interaction between nanomaterials and Salmonella to learn how to accurately judge the antibacterial properties of nanomaterials. After training, the model can receive new nanomaterial images and output a direct effect score to evaluate its antibacterial properties.

[0025] Step 105, based on the microfluidic chip, multiple candidate materials are introduced simultaneously to perform high-throughput drug sensitivity testing.

[0026] The microfluidic chip is a microwell array chip that can simultaneously accommodate Salmonella and candidate nanomaterials that are stored separately. Each microwell contains a certain amount of Salmonella and a candidate nanomaterial for independent antibacterial effect testing.

[0027] Step 106, automatically identifying and screening the antibacterial effect through the visual model, so as to achieve effective discovery of anti-Salmonella nanomaterials.

[0028] Among them, the visual model is used to automatically identify and score the nanomaterials in the micropores. At the same time, the system records the location, material number and drug sensitivity score of each micropore to generate a composite data structure. This step realizes high-throughput screening of a large number of candidate nanomaterials and quickly screens out nanomaterials with excellent antibacterial properties.

[0029] It should be understood that the above specific embodiments of the present invention are only used to illustrate or explain the principles of the present invention, and do not constitute a limitation of the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. In addition, the appended claims of the present invention are intended to cover all changes and modifications that fall within the scope and boundaries of the appended claims, or the equivalent forms of such scope and boundaries.

Claims

1. An anti-Salmonella nanomaterial screening system, characterized in that: The system comprises: Design of candidate anti-Salmonella nanomaterials using molecular dynamics simulations; Training computer vision models for automatic identification of antimicrobial effects; High-throughput screening of antibacterial materials was performed using microfluidic chips and the computer vision model.

2. The system according to claim 1, characterized in that: Large-scale guided generation of random nanomaterial structures via molecular dynamics simulations.

3. The system according to claim 2, characterized in that: The molecular dynamics simulations were performed on the interaction between two-dimensional nanomaterials and the Salmonella cell membrane.

4. The system according to claim 1, characterized in that: The computer vision model is trained to perform automatic recognition, and the output result is a score of the direct effect of the nanomaterial on Salmonella.

5. The system according to claim 1, characterized in that: The structure of the microfluidic chip is a microwell array that can simultaneously accommodate Salmonella and separate and store candidate nanomaterials.

6. The system according to claim 1, characterized in that: The output result of the high-throughput screening is a composite data structure indicating the position, nanomaterial number and drug sensitivity score.

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