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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 312
Li, E, Boujeddaine, N, Houtman, MJC, Maas, Sluijter, , Ecker, G, Weinzinger, A, van Ham, W & van der Heyden, M 2024, 'Development of new Kir2.1 channel openers from propafenone analogues', British Journal of Pharmacology. <https://bpspubs.onlinelibrary.wiley.com/doi/10.1111/bph.17377>
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
Activities
Showing entries 1 - 5 out of 202
In silica prediction of toxicity - from QSAR models to biological fingerprinting
Gerhard Ecker
AAPR 23 - patterns in one health
Conference,
Talk or oral contribution
25.10.2023 - 25.10.2023
Predicting chemicals' Molecular Initiating Events (MIEs) based on protein structure
Gerhard Ecker
ASPIS Open Symposium
Conference,
Talk or oral contribution
25.11.2022 - 25.11.2022
Structure-based prediction of molecular initiating events - where are we?
Gerhard Ecker
3rd In silico Toxicology Conference 2022
Conference,
Talk or oral contribution
29.9.2022 - 29.9.2022
Transporter Informatics and Computational Toxicology - from QSAR to Machine Learning and beyond
Gerhard Ecker
Advanced summer School in Drug Research and Development
Summer/Winter school,
Talk or oral contribution
7.9.2022 - 7.9.2022
Hypothesis generation for variant effects using a KNIME workflow for automatic mapping of disease-related mutations onto 3D protein structures
Jiahui Huang
,
Claire Colas
,
Gerhard Ecker
ACS Fall 2022
Conference,
Poster presentation
21.8.2022 - 21.8.2022