Postdoc
Daniela Digles is senior lecturer at the Department of Pharmaceutical Sciences, University of Vienna. She completed her PhD studies with a DOC-fFORTE-fellowship of the Austrian Academy of Sciences at the University of Vienna, in the Pharmacoinformatics Research Group of Prof. Gerhard Ecker.
In 2012 she started her Post-doc within the Open PHACTS project (IMI), and later on within the Open PHACTS Foundation, where she was testing the developed system, creating KNIME workflows to access the data to answer research questions, as well as user support. Next, she was involved in the FAIRness for Life Science Data in Austria project as well as the RESOLUTE project (IMI). Furthermore, she is a community curator of WikiPathways.
Her main research interests are the usage and quality control of open data (especially for solute carrier proteins), classification schemes, and the application of KNIME to connect data resources.
Publications
Goldmann, U, Wiedmer, T, Garofoli, A, Sedlyarov, V, Bichler, M, Haladik, B, Wolf, G, Christodoulaki, E, Ingles-Prieto, A, Ferrada, E, Frommelt, F, Teoh, ST, Leippe, P, Onea, G, Pfeifer, M, Kohlbrenner, M, Chang, L, Selzer, P, Reinhardt, J, Digles, D, Ecker, GF, Osthushenrich, T, MacNamara, A, Malarstig, A, Hepworth, D & Superti-Furga, G 2025, 'Data- and knowledge-derived functional landscape of human solute carriers', Molecular Systems Biology, vol. 21, no. 6, 33, pp. 599-631. https://doi.org/10.1038/s44320-025-00108-2
Digles, D, Ingles-Prieto, A, Dvorak, V, Mocking, TAM, Goldmann, U, Garofoli, A, Homan, EJ, Di Silvio, A, Azzollini, L, Sassone, F, Fogazza, M, Bärenz, F, Pommereau, A, Zuschlag, Y, Ooms, JF, Tranberg-Jensen, J, Hansen, JS, Stanka, J, Sijben, HJ, Batoulis, H, Bender, E, Martini, R, IJzerman, AP, Sauer, DB, Heitman, LH, Manolova, V, Reinhardt, J, Ehrmann, A, Leippe, P, Ecker, GF, Huber, KVM, Licher, T, Scarabottolo, L, Wiedmer, T & Superti-Furga, G 2024, 'Advancing drug discovery through assay development: a survey of tool compounds within the human solute carrier superfamily', Frontiers in Pharmacology, vol. 15, 1401599. https://doi.org/10.3389/fphar.2024.1401599
Granulo, N, Sosnin, S, Digles, D & Ecker, GF 2024, 'The macrocycle inhibitor landscape of SLC‐transporter', Molecular Informatics, vol. 43, no. 5, e202300287. https://doi.org/10.1002/minf.202300287
Huang, J, Osthushenrich, T, MacNamara, A, Mälarstig, A, Brocchetti, S, Bradberry, S, Scarabottolo, L, Ferrada, E, Sosnin, S, Digles, D, Superti-Furga, G & Ecker, GF 2024, 'ProteoMutaMetrics: Machine Learning Approaches for Solute Carrier Family 6 Mutation Pathogenicity Prediction', Rsc advances, vol. 14, no. 19, 00748, pp. 13083-13094. https://doi.org/10.1039/d4ra00748d
Agrawal, A, Balcı, H, Hanspers, K, Coort, SL, Martens, M, Slenter, DN, Ehrhart, F, Digles, D, Waagmeester, A, Wassink, I, Abbassi-Daloii, T, Lopes, EN, Iyer, A, Acosta, JM, Willighagen, LG, Nishida, K, Riutta, A, Basaric, H, Evelo, CT, Willighagen, EL, Kutmon, M & Pico, AR 2024, 'WikiPathways 2024: next generation pathway database', Nucleic Acids Research, vol. 52, no. D1, pp. D679-D689. https://doi.org/10.1093/nar/gkad960
Hanspers, K, Kutmon, M, Coort, SL, Digles, D, Dupuis, LJ, Ehrhart, F, Hu, F, Lopes, EN, Martens, M, Pham, N, Shin, W, Slenter, DN, Waagmeester, A, Willighagen, EL, Winckers, LA, Evelo, CT & Pico, AR 2021, 'Ten simple rules for creating reusable pathway models for computational analysis and visualization', PLoS Computational Biology, vol. 17, no. 8, e1009226. https://doi.org/10.1371/journal.pcbi.1009226
Dvorak, V, Wiedmer, T, Ingles-Prieto, A, Altermatt, P, Batoulis, H, Bärenz, F, Bender, E, Digles, D, Dürrenberger, F, Heitman, LH, IJzerman, AP, Kell, DB, Kickinger, S, Körzö, D, Leippe, P, Licher, T, Manolova, V, Rizzetto, R, Sassone, F, Scarabottolo, L, Schlessinger, A, Schneider, V, Sijben, HJ, Steck, A-L, Sundström, H, Tremolada, S, Wilhelm, M, Wright Muelas, M, Zindel, D, Steppan, CM & Superti-Furga, G 2021, 'An Overview of Cell-Based Assay Platforms for the Solute Carrier Family of Transporters', Frontiers in Pharmacology, vol. 12, 722889. https://doi.org/10.3389/fphar.2021.722889
Martens, M, Ammar, A, Riutta, A, Waagmeester, A, Slenter, DN, Hanspers, K, Miller, R, Digles, D, Lopes, E, Ehrhart, F, Dupuis, L, Winckers, L, Coort, SL, Willighagen, EL, Evelo, CT, Pico, AR & Kutmon, M 2021, 'WikiPathways: Connecting Communities', Nucleic Acids Research, vol. 49, no. D1, pp. D613–D621. https://doi.org/10.1093/nar/gkaa1024
Superti-Furga, G, Lackner, D, Wiedmer, T, Ingles-Prieto, A, RESOLUTE consortium & Steppan, C 2020, 'The RESOLUTE consortium: unlocking SLC transporters for drug discovery', Nature Reviews. Drug Discovery, vol. 19, no. 7, pp. 429-430. https://doi.org/10.1038/d41573-020-00056-6
Hemmerich, J, Gurinova, J & Digles, D 2020, 'Accessing public compound databases with KNIME', Current Medicinal Chemistry, vol. 27, no. 38, pp. 6444-6457. https://doi.org/10.2174/0929867326666190801152317
Miller, RA, Woollard, P, Willighagen, EL, Digles, D, Kutmon, M, Loizou, A, Waagmeester, A, Senger, S & Evelo, CT 2018, 'Explicit interaction information from WikiPathways in RDF facilitates drug discovery in the Open PHACTS Discovery Platform', F1000Research, vol. 7, 75. https://doi.org/10.12688/F1000RESEARCH.13197.2
Kotsampasakou, E, Jain, S, Digles, D & Ecker, GF 2018, Transporters in Hepatotoxicity. in Computational Toxicology: Risk Assessment for Chemicals. Wiley, pp. 145-174. https://doi.org/10.1002/9781119282594.ch6
Slenter, DN, Kutmon, M, Hanspers, K, Riutta, A, Windsor, J, Nunes, N, Mélius, J, Cirillo, E, Coort, SL, Digles, D, Ehrhart, F, Giesbertz, P, Kalafati, M, Martens, M, Miller, R, Nishida, K, Rieswijk, L, Waagmeester, A, Eijssen, LMT, Evelo, CT, Pico, AR & Willighagen, EL 2018, 'WikiPathways: a multifaceted pathway database bridging metabolomics to other omics research', Nucleic Acids Research, vol. 46, no. D1, pp. D661–D667. https://doi.org/10.1093/nar/gkx1064
Goldmann, D, Zdrazil, B, Digles, D & Ecker, GF 2017, 'Empowering pharmacoinformatics by linked life science data', Journal of Computer-Aided Molecular Design, vol. 31, no. 3, pp. 319-328. https://doi.org/10.1007/s10822-016-9990-4
Montanari, F, Zdrazil, B, Digles, D & Ecker, GF 2016, 'Selectivity profiling of BCRP versus P-gp inhibition: from automated collection of polypharmacology data to multi-label learning', Journal of Cheminformatics, vol. 8, no. 1, 7, pp. 7. https://doi.org/10.1186/s13321-016-0121-y
Digles, D, Zdrazil, B, Neefs, JM, Van Vlijmen, H, Herhaus, C, Caracoti, A, Brea, J, Roibás, B, Loza, MI, Queralt-Rosinach, N, Furlong, LI, Gaulton, A, Bartek, L, Senger, S, Chichester, C, Engkvist, O, Evelo, CT, Franklin, NI, Marren, D, Ecker, GF & Jacoby, E 2016, 'Open PHACTS computational protocols for in silico target validation of cellular phenotypic screens: Knowing the knowns', MedChemComm, vol. 7, no. 6, pp. 1237-1244. https://doi.org/10.1039/c6md00065g
Chichester, C, Digles, D, Siebes, R, Loizou, A, Groth, P & Harland, L 2015, 'Drug discovery FAQs: Workflows for answering multidomain drug discovery questions', Drug Discovery Today, vol. 20, no. 4, pp. 399-405. https://doi.org/10.1016/j.drudis.2014.11.006
Ratnam, J, Zdrazil, B, Digles, D, Cuadrado-Rodriguez, E, Neefs, J-M, Tipney, H, Siebes, R, Waagmeester, A, Bradley, G, Chau, CH, Richter, L, Brea, J, Evelo, CT, Jacoby, E, Senger, S, Loza, MI, Ecker, GF & Chichester, C 2014, 'The Application of the Open Pharmacological Concepts Triple Store (Open PHACTS) to Support Drug Discovery Research', PLoS ONE, vol. 9, no. 12, e115460. https://doi.org/10.1371/journal.pone.0115460
Pinto, M, Digles, D & Ecker, GF 2014, 'Computational models for predicting the interaction with ABC transporters', Drug Discovery Today: Technologies, vol. 12, pp. e69-e77. https://doi.org/10.1016/j.ddtec.2014.03.007
Viereck, M, Gaulton, A, Digles, D & Ecker, GF 2014, 'Transporter taxonomy - a comparison of different transport protein classification schemes', Drug Discovery Today: Technologies, vol. 12, pp. e37-e46. https://doi.org/10.1016/j.ddtec.2014.03.004