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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 26 - 30 out of 326
Füzi, B, Mathai, N, Kirchmair, J & Ecker, GF 2023, 'Toxicity prediction using target, interactome, and pathway profiles as descriptors', Toxicology Letters, vol. 381, pp. 20-26. https://doi.org/10.1016/j.toxlet.2023.04.005
Huang, J & Ecker, G 2023, 'A Structure-Based View on ABC-Transporter Linked to Multidrug Resistance', Molecules, vol. 28, no. 2, 495. https://doi.org/10.3390/molecules28020495
van der Noord, VE, van der Stel, W, Louwerens, G, Verhoeven, D, Kuiken, HJ, Lieftink, C, Grandits, M, Ecker, GF, Beijersbergen, RL, Bouwman, P, Le Dévédec, SE & van de Water, B 2023, 'Systematic screening identifies ABCG2 as critical factor underlying synergy of kinase inhibitors with transcriptional CDK inhibitors', Breast Cancer Research, vol. 25, no. 1, 51, pp. 51. https://doi.org/10.1186/s13058-023-01648-x
Schrempf, A, Bernardo, S, Arasa Verge, EA, Ramirez Otero, MA, Wilson, J, Kirchhofer, D, Timelthaler, G, Ambros, AM, Kaya, A, Wieder, M, Ecker, GF, Winter, GE, Costanzo, V & Loizou, JI 2022, 'POLθ processes ssDNA gaps and promotes replication fork progression in BRCA1-deficient cells', Cell Reports, vol. 41, no. 9, 111716. https://doi.org/10.1016/j.celrep.2022.111716
Smajic, A, Grandits, M & Ecker, GF 2022, 'Using Jupyter Notebooks for re-training machine learning models', Journal of Cheminformatics, vol. 14, no. 1, 54. https://doi.org/10.1186/s13321-022-00635-2
Projects
Molecular Drug Targets
Hering, S. (Project Lead), Ecker, G. (Co-Lead), Maulide, N. (Co-Lead), Weinzinger, A. (Co-Lead) & Gonzalez Herrero, L. (Co-Lead)
1/12/10 → 31/12/22
Project: Research funding