Publications, Patents, Books and Book Chapters
Showing entries 11 - 20 out of 262
2023
Smajić, A, Grandits, M & Ecker, GF 2023, 'Privacy-preserving techniques for decentralized and secure machine learning in drug discovery', Drug Discovery Today, vol. 28, no. 12, 103820, pp. 1-8. https://doi.org/10.1016/j.drudis.2023.103820
Grillberger, K, Cöllen, E, Trivisani, CI, Blum, J, Leist, M & Ecker, G 2023, 'Structural Insights into Neonicotinoids and N-Unsubstituted Metabolites on Human nAChRs by Molecular Docking, Dynamics Simulations, and Calcium Imaging', International Journal of Molecular Sciences, vol. 24, no. 17, 13170. https://doi.org/10.3390/ijms241713170
Smajić, A, Rami, I, Sosnin, S & Ecker, GF 2023, 'Identifying Differences in the Performance of Machine Learning Models for Off-Targets Trained on Publicly Available and Proprietary Data Sets', Chemical Research in Toxicology, vol. 36, no. 8, pp. 1300-1312. https://doi.org/10.1021/acs.chemrestox.3c00042
Dvorak, V, Casiraghi, A, Colas, C, Koren, A, Tomek, T, Offensperger, F, Rukavina, A, Tin, G, Hahn, E, Dobner, S, Frommelt, F, Boeszoermenyi, A, Bernada, V, Hannich, JT, Ecker, GF, Winter, GE, Kubicek, S & Superti-Furga, G 2023, 'Paralog-dependent isogenic cell assay cascade generates highly selective SLC16A3 inhibitors', Cell Chemical Biology, vol. 30, no. 8, pp. 953-964.e9. https://doi.org/10.1016/j.chembiol.2023.06.029
Sanz, F, Pognan, F, Steger-Hartmann, T, Díaz, C, Asakura, S, Amberg, A, Bécourt-Lhote, N, Blomberg, N, Bosc, N, Briggs, K, Bringezu, F, Brulle-Wohlhueter, C, Brunak, S, Bueters, R, Callegaro, G, Capella-Gutierrez, S, Centeno, E, Corvi, J, Cronin, MTD, Drew, P, Duchateau-Nguyen, G, Ecker, GF, Escher, S, Felix, E, Ferreiro, M, Frericks, M, Furlong, LI, Geiger, R, George, C, Ivanov-Draganov, D, Kilgour-Christie, J, Kiziloren, T, Kors, JA, Koyama, N, Kreuchwig, A, Leach, AR, Mayer, M-A, Monecke, P, Muster, W, Nakazawa, CM, Nicholson, G, Parry, R, Piñero, J, Oberhauser, N, Ramírez-Anguita, JM, Rodrigo, A, Smajic, A, Schaefer, M, Schieferdecker, S, Soininen, I, Terricabras, E, Trairatphisan, P, Turner, SC, Valencia, A, van de Water, B, van der Lei, JL, van Mulligen, EM, Vock, E & Wilkinson, D 2023, 'eTRANSAFE: data science to empower translational safety assessment', Nature Reviews. Drug Discovery, vol. 22, no. 8, pp. 605-606. https://doi.org/10.1038/d41573-023-00099-5
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
Sosnina, E, Sosnin, S & Fedorov, M 2023, 'Improvement of multi‑task learning by data enrichment: application for drug discovery', Journal of Computer-Aided Molecular Design, vol. 37, no. 4, pp. 183-200. https://doi.org/10.1007/s10822-023-00500-w
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
2022
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