Efficient biological carbon sequestration enzyme database as well as establishment method and application thereof

Abstract

The invention provides an establishment method of an efficient biological carbon sequestration enzyme database, electronic equipment and a computer readable storage medium. The method comprises the following steps: S1, constructing a carbon sequestration enzyme information source data set; s2, sorting the source data set, and performing classification, redundancy elimination and information improvement to obtain a first data set; s3, calculating the atom economy of each reaction formula of the first data set, and obtaining a second data set based on a theoretical atom economy calculation formula; s4, creating a Web application program; s5, establishing a biological carbon sequestration enzyme database screening mechanism, and screening out a target carbon sequestration enzyme and a carbon sequestration reaction with high atom economy through system screening conditions; and S6, establishing an efficient biological carbon sequestration enzyme database, and visually displaying related information of the carbon sequestration enzyme through a big data visualization technology. The problem that carbon sequestration enzyme related information in an existing enzyme database is much and miscellaneous is solved, and reasonable utilization and conversion of one-carbon resources are accelerated.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of biological carbon fixation and carbon fixation enzyme screening, specifically a high-efficiency biological carbon fixation enzyme database establishment method based on big data. BACKGROUND

[0002] Global warming is becoming increasingly serious, and the consumption of fossil fuels is one of the important reasons for the increase in the concentration of carbon dioxide in the Earth's atmosphere. Green biological manufacturing is considered to be a supporting technology for achieving "carbon neutrality". Compared with traditional petrochemical refining, biological synthesis not only can improve production efficiency, but also can reduce energy consumption and carbon emissions.

[0003] Biological carbon fixation refers to the process by which microorganisms convert simple one-carbon compounds into organic carbon compounds such as glucose. This process is crucial for the Earth's carbon cycle and helps reduce the concentration of CO2 in the atmosphere, thereby regulating global climate. Modern industrial chemistry focuses on atomic economy for economic benefits. According to the definition of atomic economy, biological carbon fixation inherently follows the principle of atomic conservation, reducing CO2 emissions while synthesizing high-value chemicals. Using atomic economy as a screening indicator is beneficial for evaluating the efficiency of carbon fixation reactions.

[0004] In the various complex enzyme reaction systems of carbon fixation pathways, different enzymes from different sources exhibit different activities, which makes the actual designed carbon fixation pathways often fail to achieve the expected results. The establishment of a high-efficiency biological carbon fixation enzyme database provides a centralized, systematic, and reliable resource for searching and finding information related to efficient one-carbon compound fixation processes.

[0005] By collecting, organizing, and classifying information and data related to efficient one-carbon conversion biological catalysis, the field of cooperation and exchange can be promoted, and cooperation and innovation among researchers can be facilitated. This can accelerate the application of biological catalysis technology in mitigating climate change, transforming waste, and sustainable development, and promote the research and development of efficient one-carbon conversion biological catalysis. Systematically recording and organizing information and data of various efficient one-carbon conversion biological catalysis processes can provide accurate and reliable data support for researchers, helping them design and optimize biological catalysis reactions more accurately, improve their efficiency and selectivity, and reduce the time and cost of trial and error. At the same time, the database will help the industry and policymakers better understand, evaluate, and utilize the potential of biological catalysis technology in addressing carbon dioxide emissions and resource utilization, and provide a platform for promoting the industrialization and marketization of technology. SUMMARY

[0006] The application provides a high-efficiency biological carbon fixation enzyme database establishment method, a database and a computer readable storage medium, and aims to provide a solution or at least partial solution to the problem of too much and miscellaneous carbon fixation enzyme related information in the existing enzyme database, and to accelerate the rational use and conversion of carbon resources.

[0007] In a first aspect, the application provides a high-efficiency biological carbon fixation enzyme database establishment method, comprising the following steps:

[0008] S1: Constructing a carbon fixation enzyme information source dataset, collecting carbon fixation enzyme related information from open source databases and literature by using Python crawler technology, database interface SOAP technology and manual network search;

[0009] S2: Arranging the source dataset, classifying, eliminating redundancy and perfecting the information to obtain a first dataset;

[0010] S3: Calculating the atomic economy of each reaction formula of the first dataset, and obtaining a second dataset based on a theoretical atomic economy calculation formula;

[0011] S4: Developing a database Web application program by using Java language, using a Spring Boot+MyBatis integrated framework, combining Vue and Element UI front-end technology, and using a MySQL database to create a Web application program;

[0012] S5: Establishing a biological carbon fixation enzyme database screening mechanism, and screening target carbon fixation enzymes and high-atomic-economy carbon fixation reactions through system screening conditions;

[0013] S6: Establishing a high-efficiency biological carbon fixation enzyme database, and directly displaying carbon fixation enzyme related information through big data visualization technology.

[0014] In the above embodiment of the application, the carbon fixation enzyme related information collected in the S1 step includes carbon fixation enzyme name, substrate, product, European Community number, reaction equation, source, enzyme activity, Michaelis constant, catalytic efficiency, optimum temperature and pH value.

[0015] In the above embodiment of the application, in the S2 step, the same substrate carbon fixation enzyme data is classified, and repeated and partially missing data is removed, and detailed information such as cofactor, reaction type, operating condition, amino acid sequence is supplemented.

[0016] In the above embodiment of the application, in the S3 step, the atomic economy calculation formula is formula (1):

[0017]

[0018] In the above-mentioned embodiments of the present application, optionally, the web application developed in the S4 step has user authentication, data display, filtering and analysis functions.

[0019] In a second aspect, the present application provides a high-efficiency carbon fixation enzyme database established by the above-mentioned method, which contains carbon fixation enzyme data screened and calculated for atomic economy, and provides user access and data display through a web application.

[0020] In the above-mentioned embodiments of the present application, optionally, the database supports searching according to "Product", "Substrate", "Enzyme name", "EC number" and other conditions.

[0021] In the above-mentioned embodiments of the present application, optionally, the data in the database is displayed through big data visualization technology, including carbon fixation enzyme name, carbon fixation enzyme distribution source, carbon fixation enzyme atomic economy and other distribution proportions.

[0022] In the above-mentioned embodiments of the present application, optionally, the data updating and maintenance of the database is realized through the web application, ensuring the timeliness and accuracy of the data.

[0023] In a third aspect, the present application provides a database system established by the above-mentioned method, which contains carbon fixation enzyme data screened and calculated for atomic economy, and provides user access and data display through a web application.

[0024] In the above-mentioned embodiments of the present application, optionally, the database management module, the search and filtering module and the user interface module.

[0025] The database management module is used to store and manage the preprocessed collected carbon fixation enzyme related data, and provides functions of adding, deleting, updating and querying the stored data.

[0026] The search and filtering module allows users to search and filter data in the database management module according to specific parameters, including enzyme name, substrate, product, European Community number, and includes the logical condition filtering mechanism of "AND", "OR" and "NOT". The set of filtering logic is converted into a computer program to obtain accurate target carbon fixation enzyme data.

[0027] The user interface module provides a user interaction interface, allowing users to conveniently access and search information in the database, and more conveniently search for the required carbon fixation enzyme related information, including carbon fixation enzyme name, substrate, product, European Community number, reaction equation, source, enzyme activity, Michaelis constant, catalytic efficiency, optimum temperature, pH value, cofactor, coenzyme and amino acid sequence information, and intuitively and simply presents the search and filtering module results.

[0028] In the above-mentioned embodiments of the present application, optionally, the system of the database supports retrieval according to the conditions of "Product", "Substrate", "Enzyme name", and "EC number".

[0029] In the above-mentioned embodiments of the present application, optionally, the data in the system of the database is displayed through big data visualization technology, including the names of carbon fixation enzymes, the distribution sources of carbon fixation enzymes, and the distribution proportion of the atomic economy of carbon fixation enzymes.

[0030] In the above-mentioned embodiments of the present application, optionally, the data updating and maintenance of the system of the database are realized through a Web application, ensuring the timeliness and accuracy of the data.

[0031] In a fourth aspect, the present application provides a computer-readable storage medium storing computer-executable instructions for executing the method of any one of the above-mentioned first aspect.

[0032] After the above technical solution is adopted in the present application, the following effects are mainly achieved:

[0033] (1) The carbon fixation enzyme database of the present application can realize big data acquisition through computer programming, and automatically retrieve the target carbon fixation enzyme by inputting "Product", "Substrate", "Enzyme name", and "EC number".

[0034] (2) The method for establishing the carbon fixation enzyme database of the present application further calculates and supplements the atomic economy of the carbon fixation enzyme pathway, and uses it as an important index to screen the required carbon fixation enzyme, thereby truly solving the problem of more accurately designing and optimizing biological catalytic reactions in colleges and enterprises, improving the efficiency and selectivity thereof, and reducing the time and cost of trial and error.

[0035] (3) The method for establishing the carbon fixation enzyme database of the present application can more conveniently retrieve the required carbon fixation enzyme related information, helping relevant personnel better understand, evaluate, and utilize the potential of biological catalytic technology in solving carbon dioxide emission and resource utilization, and promoting the industrialization process of such technology.

[0036] The existing enzyme database screening mechanism does not consider atomic economy, or the key indicator cannot be found in the database. The present application calculates the atomic economy, provides this indicator, and at the same time, screens the carbon fixation reaction and calculates the retained reaction to establish a carbon fixation enzyme database focusing on carbon fixation enzymes. Therefore, the retrieval is more convenient and fast, and has an advantage over the existing technology. BRIEF DESCRIPTION OF DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort on the basis of these drawings.

[0038] Figure 1 A flow chart of establishing a biological carbon fixation enzyme database is shown.

[0039] Figure 2 A flow chart of Java program development is shown.

[0040] Figure 3 A web page interface diagram of database web page search is shown.

[0041] Figure 4 A data visualization interface diagram of database related data is shown.

[0042] Figure 5 A carbon fixation enzyme data plane percentage diagram is shown.

[0043] Figure 6 A result diagram of searching "formaldehyde" to obtain "formolase" is shown.

[0044] Figure 7 A block diagram of an electronic device according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0045] In order to better understand the technical solutions of the present application, the embodiments of the present application will be described in detail below with reference to the drawings.

[0046] It should be clear that the described embodiments are only some embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative effort belong to the scope of protection of the present application.

[0047] The terms used in the embodiments of the present application are only for the purpose of describing the specific embodiments, and are not intended to limit the present application. The singular forms "a", "said" and "the" used in the embodiments of the present application and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise.

[0048] The present application proposes a method for establishing a high-efficiency biological carbon fixation enzyme database to solve the above problems, as shown in Figure 1The biological carbon fixation enzyme database construction flowchart is shown. To solve or at least partially solve the problem of too much and miscellaneous information about carbon fixation enzymes in existing enzyme databases, and to accelerate the rational use and conversion of carbon resources.

[0049] Example 1 carbon fixation enzyme database construction method

[0050] Referring to the accompanying Figures 1-7 , the present application provides a carbon fixation enzyme database construction method, the database construction method is as shown in Figure 1 , specifically comprising the following steps:

[0051] S1: using Python crawler technology, database interface Soap technology, artificial network search technology, etc., collect related carbon fixation enzyme information from open internet channels such as Branda, NCBI, etc., such as name, European community number, reaction equation, source, enzyme activity, Michaelis constant, catalytic efficiency (Kcat / Km), optimum temperature, pH value, etc. Preliminary screening, sorting and saving, and establishing a preliminary carbon fixation enzyme related source database.

[0052] Open data content includes:

[0053] Branda, NCBI database: carbon fixation enzyme data characteristics with CO2, HCO3 - , methanol, formaldehyde, formic acid and other one-carbon units as substrates, enzyme name, product, European community number, reaction formula, source, reaction type, enzyme activity, Michaelis constant, catalytic efficiency (Kcat / Km), optimum temperature, pH, etc. Establish the automatic operation mechanism of Soap interface and crawler, automatically crawl and convert related keyword data, and obtain preliminary database information. The steps of realizing the database interface Soap technology interface crawling program are as follows:

[0054] Program start - use Python to first install Zeep - connect database - register an account on the database with an email - select crawling keywords - call program to get data - get data - continue to change keyword conditions and loop crawler - program end.

[0055] S2: classify the carbon fixation enzyme data for the same substrate, eliminate duplicate and partially missing data, and again use Python crawler technology, database interface Soap technology and artificial network search to obtain detailed information from related existing enzyme or protein databases, supplement detailed cofactors, reaction types, operating conditions, amino acid sequences and other related information, and obtain the first data set.

[0056] In order to establish a complete and practical carbon fixation enzyme database, more comprehensive carbon fixation enzyme related data is needed. In this step, the database interface Soap technology is used to crawl the corresponding cofactor, reaction type, operating condition and amino acid sequence information by using accurate keywords. The specific crawler and interface implementation method can refer to the content in S1.

[0057] S3: According to the collected reaction formula, the atomic economy of each reaction is calculated. AE is the atomic economy of the biological carbon fixation reaction equation, and formula (1) is:

[0058]

[0059] For example, the reaction formula: pyruvic acid + carbon dioxide + reduced nicotinamide adenine dinucleotide = malic acid + oxidized nicotinamide adenine dinucleotide, the molecular weight of pyruvic acid is 88.06, the molecular weight of carbon dioxide is 44, the molecular weight of reduced nicotinamide adenine dinucleotide is 663.43, the molecular weight of malic acid is 132.07, and the atomic economy of the target product malic acid is:

[0060] AE 苹果酸 = 132.07 / (88.06+44+663.43) x 100% = 0.166

[0061] According to this formula, the atomic economy of all the reaction formulas in step 2 is calculated.

[0062] S4: Develop a database Web application using Java, as shown in the Java program development flowchart. Based on the Java programming language, use the Spring Boot+MyBatis integration framework, combined with Vue and Element UI, and MySQL database, to create a Web application that is comprehensive in function, user-friendly and high in security. Figure 2

[0063] ​Spring Boot provides simplified configuration and automatic dependency management, while MyBatis simplifies database operations as an object-relational mapping tool. The front-end interface can be developed using Vue.js combined with Element UI, which provides a series of beautiful and practical components to quickly build responsive user interfaces. For data storage, MySQL is chosen as the database. During development, data persistence is achieved through MyBatis, front-end display is realized through Vue.js combined with Element UI, and data interaction between the front-end and back-end is achieved through Axios. In terms of security, the project is packaged through Maven or Gradle, and deployed to a server or cloud platform. In addition, Spring Boot Actuator is used for application monitoring to ensure the stability and maintainability of the application. The entire development process focuses on code modularity, service decoupling, and user interaction experience to achieve a high-efficiency, secure, and easy-to-maintain web application.

[0064] S5: Establish a database screening mechanism. Through the system, establish a mechanism for screening conditions such as "Product", "Substrate", "Enzyme name", "EC number", and use the program to reasonably screen target carbon fixation enzymes to obtain more atomically economic carbon fixation reactions.

[0065] Establish a database screening mechanism, the logic includes "AND", "OR", "NOT" and other condition screening mechanisms, and convert this set of screening logic into a computer program. The second step is to establish a "Product", "Substrate", "Enzyme name", "EC number" keyword search program to obtain accurate target carbon fixation enzyme data.

[0066] Collect and prepare the second data set stored in the database in S1-S3 to ensure consistency in data structure and field naming. According to the requirements and logical relationships, write programs to implement the screening mechanism, and use programming SQL language to implement it. According to the conditions input by the user, the program will filter the data in the database according to the logical relationship, and then return the results that meet the conditions. Finally, the screening results are presented to the user in a readable form, usually in the form of visual tables or lists. At the same time, optimize and test the program to ensure its performance and accuracy when processing large amounts of data.

[0067] Subsequent improvements to the database include, but are not limited to, the following measures:

[0068] (1) Data cleaning and standardization: Ensure that the data in the database is clean, consistent, and standardized. This includes removing duplicate data, filling in missing values, unifying units and formats, etc.

[0069] (2) Data expansion: Expanding the database through literature research and other means, adding new carbon fixation enzyme information. This can increase the coverage and value of the database;

[0070] (3) Performance optimization: Including the creation of indexes, query performance tuning, etc., to improve data retrieval and processing efficiency;

[0071] (4) User interface development: Develop a user-friendly interface to allow users to easily query and browse information in the carbon fixation enzyme database. Web applications or desktop applications can be considered;

[0072] (5) Regular updates: Regularly update the carbon fixation enzyme database, including adding new data, correcting errors, and updating existing information, to maintain the effectiveness of the database;

[0073] S6: Based on the above data, an intelligent database for efficient biological carbon fixation catalysis is established. Through big data visualization, the distribution of carbon fixation enzyme name, carbon fixation enzyme distribution source, carbon fixation enzyme atomic economy, etc. is directly displayed, and macro and micro analysis is provided.

[0074] As shown in Figure 3 , the database web page search web interface. For example, click "Substrate", enter "CO2" in the navigation bar, and click to search, you can search for carbon fixation enzyme results with CO2 as substrate; For example, click "Enzyme name", enter "Carbonic anhydrase" in the navigation bar, and click to search, you can search for carbon fixation enzyme Carbonic anhydrase (carbonic anhydrase) results. As shown in Figure 4 , the database introduction interface. The interface introduces the purpose, function and application range of establishing the database in detail. The content is as follows: In various carbon sequestration pathways, there are various key enzymes, and their activities are different due to different sources. This often leads to the actual design of carbon sequestration pathways not achieving the expected results. In order to realize the double carbon strategy and green development project, the Greenase database can directly input the target product, substrate and enzyme name in the navigation bar to search for related information of carbon sequestration pathways. Greenase can provide centralized, systematic and reliable resources to help researchers more accurately design and optimize biological catalytic reactions, reduce trial and error time and cost.

[0075] Macroscopic presentation of various information of carbon fixation enzymes, statistics of substrate, product, atomic economy, Km, etc. Statistics of substrate, product, atomic economy, Km, etc. Ranking and percentage, and intuitive display through plane percentage chart. Establish carbon fixation enzyme database, query substrate such as CO2, HCO3 -, methanol, formaldehyde, formic acid, etc., to obtain different substrate carbon fixation enzyme related data. Statistics of its substrate, product, atomic economy, Km and proportion, through the broken line chart, Ndinggel rose chart and other visualization methods for intuitive display, such as Figure 5 As shown in the database related data visualization interface. Figure 5 As shown in the carbon fixation enzyme data plane percentage bar chart.

[0076] Example 2 takes formaldehyde as the substrate, retrieves the carbon fixation enzyme for synthesizing chemicals with formaldehyde as one-carbon substrate

[0077] From the established database, input "formaldehyde" in the substrate search bar, and select "formolase" with atomic economy, which can catalyze three molecules of formaldehyde to form one molecule of dihydroxyacetone, with a reaction atomic economy of 1.0, as shown in the search results. Figure 7 As shown in the search results of "formaldehyde" to obtain "formolase".

[0078] According to the amino acid sequence information obtained by searching, the fls gene encoding it is synthesized, and the fls is cloned into the vector pET-28a(+), and then it is transferred into the competent cells of Escherichia coli BL21(DE3) for overnight culture of 12h, and the next day a single colony is inoculated in 4mL of LB liquid medium containing 1‰ kanamycin, and is cultured for 12-16h to obtain a seed liquid, which is inoculated into 100mL of LB medium containing 1‰ kanamycin, and is cultured in a constant temperature incubator at 37℃, 180rpm to OD600=0.6, then 0.5mM IPTG is added, and is induced at 16℃ overnight. After induction, centrifuge at 4℃, 6000r / min for 10min, collect the bacteria, wash with PBS buffer (pH 7.0) twice, centrifuge at 4℃, 6000r / min for 5min, and collect the bacteria.

[0079] According to the catalytic conditions obtained by searching, the whole cell catalyst 10g / L, 5mL PBS buffer system is added with 0.3M formaldehyde, 2mM MgSO4, 0.1mM TPP, 30℃, pH 8 whole cell conversion for 1h, and the concentration of dihydroxyacetone in the system is detected.

[0080] The content of dihydroxyacetone in the reaction solution is determined by high performance liquid chromatography. The chromatographic conditions are: HPLC (ultraviolet detector), C18 chromatographic column (ShimNex CS, 4.6x250mm, 5μm), double mobile phase (methanol: 0.05% phosphoric acid in ultrapure water = 5:95 (V:V), column temperature 25℃, wavelength 272nm, flow rate 1.0mL·min -1 , injection volume 10μL, detection time 15min.

[0081] According to the method, the concentration of dihydroxy acetone in the final 5 mL whole cell catalytic system is 2.4 g / L.

[0082] Figure 7 A block diagram of an electronic device according to an embodiment of the present application is shown.

[0083] As Figure 7 shown, the electronic device 400 of one embodiment of the present application includes at least one memory 402; and a processor 404 connected with the at least one memory 402 in communication; wherein the memory stores instructions executable by the at least one processor 404, and the instructions are configured to perform the scheme described in any of the above embodiments. Therefore, the electronic device 400 has the same technical effects as any of the above embodiments, and will not be described here.

[0084] The electronic device of the embodiments of the present application exists in various forms, including but not limited to:

[0085] (1) Mobile communication device: This type of device is characterized by having mobile communication function, and providing voice and data communication as the main target. This type of terminal includes: smart phone (such as iPhone), multimedia phone, functional phone, and low-end phone, etc.

[0086] (2) Ultra-mobile personal computer device: This type of device belongs to the category of personal computers, and has computing and processing functions, and generally also has the characteristics of mobile Internet. This type of terminal includes: PDA, MID and UMPC devices, such as iPad.

[0087] (3) Portable entertainment device: This type of device can display and play multimedia content. This type of device includes: audio and video player (such as iPod), handheld game console, electronic book, and smart toy and portable car navigation device.

[0088] (4) Server: A device that provides computing services. The components of a server include a processor, a hard disk, a memory, a system bus, etc. The server is similar in architecture to a general-purpose computer, but requires higher processing power, stability, reliability, security, scalability, manageability, etc. due to the need to provide high-reliability services.

[0089] (5) Other electronic devices with data interaction function.

[0090] In addition, the embodiments of the present application provide a computer readable storage medium, which stores computer executable instructions, and the computer executable instructions are used to execute the method process described in any of the above embodiments.

[0091] The technical scheme of the present application is described in detail above in combination with the drawings. By combining the high-order perturbation with the sampling method to calculate the control rod worth and its uncertainty, more accurate and reliable calculation results can be obtained, which is beneficial to the in-depth understanding and effective control of the chain reaction.

[0092] Depending on the context, the word "if" as used herein can be interpreted to mean "when" or "while" or "in response to determining" or "in response to detecting." Similarly, the phrase "if determined" or "if detecting (a stated condition or event)" can be interpreted to mean "when determined" or "in response to determining" or "when detecting (a stated condition or event)" or "in response to detecting (a stated condition or event)," depending on the context.

[0093] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for establishing a high-efficiency biological carbon fixation enzyme database, characterized in that, It comprises the following steps: S1: Constructing a carbon fixation enzyme information source dataset, collecting carbon fixation enzyme related information from open source databases and literature using Python crawler technology, SOAP technology of database interface and manual network search; S2: Organizing the source dataset, classifying, eliminating redundancy and improving information to obtain the first dataset; S3: Calculate the atomic economy of each reaction formula in the first dataset, and obtain the second dataset based on the theoretical atomic economy calculation formula; S4: Open the database application program, for example, develop a database Web application program using Java language, use Spring Boot+MyBatis integration framework, combine Vue and Element UI front-end technology, and MySQL database to create a Web application program; S5: Establish a biological carbon fixation enzyme database screening mechanism, and screen out target carbon fixation enzymes and high atomic economy carbon fixation reactions through system screening conditions; S6: Establish an efficient biological carbon fixation enzyme database, and visually display carbon fixation enzyme related information through big data visualization technology.

2. The method according to claim 1, wherein, The carbon fixation enzyme related information collected in the S1 step includes carbon fixation enzyme name, substrate, product, European Community number, reaction equation, source, enzyme activity, Michaelis constant, catalytic efficiency, optimum temperature and pH value.

3. The method according to claim 1 or 2, wherein, In the S2 step, the same substrate carbon fixation enzyme data is classified, and the repeated and partially missing data are removed, and the detailed information of cofactor, reaction type, operating condition and amino acid sequence is supplemented.

4. The method according to claim 1, wherein, The calculation formula of atomic economy in the S3 step is formula (1):

5. The method of claim 1, wherein the method further comprises: The Web application program developed in the S4 step has user authentication, data display, screening and analysis functions. ​ 6. A system of high efficient bio-sequestration enzyme database established by the method of any one of claims 1 to 5, characterized in that, The system of the database contains carbon fixation enzyme data screened and calculated for atomic economy, and provides user access and data display through the Web application program.

7. The system of claim 6, wherein the high-efficiency biological carbon fixation enzyme database is a database of enzymes that are capable of catalyzing the conversion of carbon dioxide into a carbon compound. It includes a database management module, a retrieval and screening module, and a user interface module; The database management module is used to store and manage the preprocessed collected carbon fixation enzyme related data, and provides functions of adding, deleting, updating and querying the stored data; The retrieval and screening module allows users to search and screen data in the database management module according to specific parameters, including enzyme name, substrate, product, European Community number, including "AND", "OR", "NOT" logic condition screening mechanism, converts the set of screening logic into computer program, and obtains accurate target carbon fixation enzyme data; The user interface module provides a user interaction interface, so that users can conveniently access and retrieve information in the database, more conveniently retrieve the required carbon fixation enzyme related information, including carbon fixation enzyme name, substrate, product, European Community number, reaction equation, source, enzyme activity, Michaelis constant, catalytic efficiency, optimum temperature, pH value, cofactor, coenzyme and amino acid sequence information, and intuitively and simply present the retrieval and screening module results.

8. The system of databases according to claim 6, characterized in that, The database system includes searching according to "Product", "Substrate", "Enzyme name", "EC number".

9. The system of databases according to claim 6, characterized in that, The data in the system of the database is displayed through big data visualization technology, including the names of carbon fixation enzymes, the distribution sources of carbon fixation enzymes, and the distribution proportion of carbon fixation enzyme atom economy.

10. A system of databases as recited in claim 6, wherein, The data updating and maintenance of the database system is realized through a Web application, ensuring the timeliness and accuracy of the data. 11.A computer readable storage medium storing computer executable instructions for performing the method for establishing a high-efficiency biological carbon fixation enzyme database according to any one of claims 1 to 5.

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