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Head of Group
Director of Corporate Program
His main research interests are ligand- and structure-based drug design with focus on transmembrane transport proteins, prediction of on- and off-kinetics, as well as semantic data integration.
Publications
Showing entries 1 - 5 out of 311
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
Ferrada, E, Wiedmer, T, Wang, WA, Frommelt, F, Steurer, B, Klimek, C, Lindinger, S, Osthushenrich, T, Garofoli, A, Brocchetti, S, Bradberry, S, Huang, J, MacNamara, A, Scarabottolo, L, Ecker, GF, Malarstig, A & Superti-Furga, G 2024, 'Experimental and Computational Analysis of Newly Identified Pathogenic Mutations in the Creatine Transporter SLC6A8', Journal of Molecular Biology, vol. 436, no. 2, 168383. https://doi.org/10.1016/j.jmb.2023.168383
Helmke, P, Füzi, B & Ecker, GF 2024, 'Bioactivity descriptors for in vivo toxicity prediction: now and the future', Expert Opinion on Drug Metabolism and Toxicology, vol. 20, no. 7, pp. 541-543. https://doi.org/10.1080/17425255.2024.2334308
Activities
Showing entries 26 - 30 out of 202
Leveraging linked open data - from transporter interaction profiling to toxicity prediction and beyond
Gerhard Ecker
Janssen internal computational chemistry meeting
Lecture series, colloquium,
Talk or oral contribution
15.3.2017 - 15.3.2017
Exploiting semantically integrated life science data - from transporter profiling to toxicity prediction
Gerhard Ecker
1st MuTaLig COST Action Training School
Summer/Winter school,
Talk or oral contribution
9.2.2017 - 9.2.2017
The power of open data - linking transporter interaction profiles to in vivo toxicity
Gerhard Ecker
Talk or oral contribution
3.2.2017 - 3.2.2017
Leveraging linked open data - from transporter interaction profiles to toxicity prediction
Gerhard Ecker
Talk or oral contribution
19.1.2017 - 19.1.2017
Open Innovation in the Age of Big Data
Gerhard Ecker
Open Innovation
Conference,
Talk or oral contribution
17.11.2016 - 17.11.2016