# Online Database for Retrieval Information about Prebiotics and Their Activity
## 4 Conclusions  
In this paper, we present the ODRAP database, which is based on the information of articles by various researchers and implemented using MS Office Access 2013 [54; 55]. The implemented database is specific and it was assigned for the scientists working in microbiology and biotechnology. This database allows to search for necessary information concerning prebiotics and their activity by definite parameters. The advantage of using MS Office Access 2013 is its integration into desktop PCs, ability to export and convert data, and a wide range generation of forms, reports, and queries which can be used to sort data and enter it in a convenient manner [56]. This data structure is unique, as it contains information about the assessment of prebiotic activities _in vitro_ and the different methods used to define them. A Web-application, with a user-friendly Web-interface, was implemented for convenient user access to the database, which provides the ability to search for information in a specific direction and priorities in the fields prebiotics and their activity [57; 58]. A Web-interface passed the test period and was approved by our colleagues. It is planned to update this version of ODRAP database after receive sufficient statistics on navigation adjustments and recommendations. The implemented database will be updated depending on the accumulation of data on research in this field. The ability to upload new information in the database by users or researchers has great prospects and allows to increase speed of data update. However, the significant redesign of the interface and the development of data verification system are required. Currently, ODRAP collects information 25 bacteria genera or their combinations, 59 bacteria species, 140 prebiotic substances, 61 prebiotic production companies, 2 methods of fermentation, and 271 analyzed articles from 2001 till 2019. Criteria such as PI, PAS or SF can be compared using ODRAP database for the same prebiotic substances, but for different probiotic bacteria, or for substances of a similar nature obtained from different sources. In addition, such important information for the scientist working in microbiology as the production of metabolites (organic acids), which largely determine the suppression of the growth  
Figure 9: Example of search: symbiotic factor SF obtained from the quantitative model of co-culture suggested for comparison of symbiotic activity against pathogens in different conditions [35].  
of pathogens, can be taken into account. In present version of the DB _in vitro_ studies of prebiotic activity are included, as they are more numerous. In the future the DB can be expanded with data obtained in animals and humans studies _in vivo_.  
Conceptualization, E.G.; Formal analysis, B.K. and N.M.; Funding acquisition, B.K.; Investigation, B.K.; Methodology, B.K. and D.B.; Project administration, B.K.; Software, D.B.; Supervision, E.G.; Validation, N.M. and V.P.; Visualization, D.B.; Writing--original draft, E.G., B.K., and D.B.; Writing--review & editing, E.G., B.K., and D.B All authors have read and agreed to the published version of the manuscript.  
Present study was supported by Russian Science Foundation (Project N\({}^{\text{o}}\) 17-79-20365).  
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  
The following abbreviations are used in this manuscript:  
PAS Prebiotic activity score  
MPE Measure of the prebiotic effect  
PI Prebiotic Index  
SI Synbiotic index  
SF Synbiotic factor