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      DIA-DB: A Database and Web Server for the Prediction of Diabetes Drugs.

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          Abstract

          The DIA-DB is a web server for the prediction of diabetes drugs that uses two different and complementary approaches: (a) comparison by shape similarity against a curated database of approved antidiabetic drugs and experimental small molecules and (b) inverse virtual screening of the input molecules chosen by the users against a set of therapeutic protein targets identified as key elements in diabetes. As a proof of concept DIA-DB was successfully applied in an integral workflow for the identification of the antidiabetic chemical profile in a complex crude plant extract. To this end, we conducted the extraction and LC-MS based chemical profile analysis of Sclerocarya birrea and subsequently utilized this data as input for our server. The server is open to all users, registration is not necessary, and a detailed report with the results of the prediction is sent to the user by email once calculations are completed. This is a novel public domain database and web server specific for diabetes drugs and can be accessed online through http://bio-hpc.eu/software/dia-db/.

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          Author and article information

          Journal
          J Chem Inf Model
          Journal of chemical information and modeling
          American Chemical Society (ACS)
          1549-960X
          1549-9596
          September 28 2020
          : 60
          : 9
          Affiliations
          [1 ] Bioinformatics and High Performance Computing Research Group (BIO-HPC), Computer Engineering Department, Universidad Católica de Murcia (UCAM), Guadalupe 30107, Spain.
          [2 ] Villapharma Research S.L., Parque Tecnológico de Fuente Álamo, Ctra. El Estrecho-Lobosillo, Km. 2.5, Av. Azul 30320 Fuente Álamo de Murcia, 30320 Murcia, Spain.
          [3 ] Research and Development of Functional Food Centre (CIDAF), PTS Granada, Avda. Del Conocimiento s/n, Edificio BioRegión, 18016 Granada, Spain.
          [4 ] Department of Analytical Chemistry, University of Granada, Avda. Fuentenueva s/n, 18071 Granada, Spain.
          [5 ] Herbafor SL, Calle Purísima, 52, 30620 Fortuna, Murcia, Spain.
          [6 ] Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria Hillcrest 0083, South Africa.
          [7 ] Department of Chemistry, University of Ioannina, Ioannina 45110, Greece.
          [8 ] Department of Immunology, Institute for Biological Research "Sinisa Stankovic", University of Belgrade, Bulevar despota Stefana 142, 11060 Belgrade, Serbia.
          Article
          10.1021/acs.jcim.0c00107
          32692571
          3de7e661-bdc3-4329-a3a9-09d2ed5f71de
          History

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