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Univ.-Prof. Mag. Dr. Johannes Kirchmair
Johannes Kirchmair
T: +43-1-4277-55104
https://comp3d.univie.ac.at
Summer term 2026
301817 UE MPM 6 - Practical Course: Pharmacoinformatics and structure-based drug design
321029 VO Pharmazeutische Chemie 2 - B15
322026 VU Ausgewählte Kapitel aus der pharmazeutisch-chemischen Forschung - M13
323007 UE Experimental Methods in Drug Discovery und Preclinical Drug Development - MPS6 - (2 Courses)
323101 VU Pharmacoinformatics - MPS5
323102 VU Pharmacoinformatics Practical Course - MPS5
580006 SE Pharma Lectures
580009 SE Journal Club : Molecular Informatics
Winter term 2025
262005 VO Introduction to Computational Biology and Drug Discovery
262006 UE Introduction to Computational Biology and Drug Discovery - Exercises
301817 VO MPM 7 - Lecture course: Model systems in precision medicine - in the context of signature diseases
321004 VO Physik und Informatik für PharmazeutInnen - B3
321028 VO Pharmazeutische Chemie 1 - B15
322001 VO (Bio)pharma. mit Wirkung auf metabol. Störungen & eingeschr. Organ- und Systemfunktionen - M1
322002 VO Antiinfektiva, Antineoplastika und (Bio)pharmazeutika mit Wirkung auf das Immunsystem - M2
322026 VU Ausgewählte Kapitel aus der pharmazeutisch-chemischen Forschung - M13
323005 VO Preclinical Drug Development - MPS4
323009 PR Lab Rotation I - MPS8
323010 PR Lab Rotation II - MPS8
323011 SE Proposal Writing - MPS9 - (2 Courses)
580008 SE SE Journal Club : Molecular Informatics
580009 SE SE Lecture Series Pharma and Food
Summer term 2025
301817 UE MPM 6 - Practical Course: Pharmacoinformatics and structure-based drug design
321029 VO Pharmazeutische Chemie 2 - B15
322026 VU Ausgewählte Kapitel aus der pharmazeutisch-chemischen Forschung - M13
323007 UE Experimental Methods in Drug Discovery und Preclinical Drug Development - MPS6 - (2 Courses)
323101 VU Pharmacoinformatics - MPS5
323102 VU Pharmacoinformatics Practical Course - MPS5
580006 SE Pharma Lectures
580009 SE Journal Club : Molecular Informatics
21 - 40 out of 149
Le NTH, Janssen K, Kirchmair J, Pieters L, Tuenter E. A mini-review of the anti-SARS-CoV-2 potency of Amaryllidaceae alkaloids. Phytomedicine. 2024 Jul;129:155576. Epub 2024. doi: 10.1016/j.phymed.2024.155576
Palmacci V, Hirte S, Hernández González JE, Montanari F, Kirchmair J. Statistical approaches enabling technology-specific assay interference prediction from large screening data sets. Artificial Intelligence in the Life Sciences. 2024 Jun;5:100099. doi: 10.1016/j.ailsci.2024.100099
Fooladi H, Hirte S, Kirchmair J. Quantifying the Hardness of Bioactivity Prediction Tasks for Transfer Learning. Journal of Chemical Information and Modeling. 2024 May 27;64(10):4031-4046. doi: 10.1021/acs.jcim.4c00160
Tan L, Hirte S, Palmacci V, Stork C, Kirchmair J. Tackling assay interference associated with small molecules. Nature Reviews. Chemistry. 2024 May;8:319-339. Epub 2024 Apr 15. doi: 10.1038/s41570-024-00593-3
Chen Y, Seidel T, Jacob RA, Hirte S, Mazzolari A, Pedretti A et al. Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation. Journal of Chemical Information and Modeling. 2024 Jan 22;64(2):348-358. Epub 2024 Jan 3. doi: 10.1021/acs.jcim.3c01588
Giehler F, Ostertag MS, Sommermann T, Weidl D, Sterz KR, Kutz H et al. Epstein-Barr virus-driven B cell lymphoma mediated by a direct LMP1-TRAF6 complex. Nature Communications. 2024 Jan 10;15(1):414. doi: 10.1038/s41467-023-44455-w
Iobbi V, Donadio G, Lanteri AP, Maggi N, Kirchmair J, Parisi V et al. Targeted metabolite profiling of Salvia rosmarinus Italian local ecotypes and cultivars and inhibitory activity against Pectobacterium carotovorum subsp. carotovorum. Frontiers in Plant Science. 2024;15:1164859. doi: 10.3389/fpls.2024.1164859
Bajorath J, Gardner S, Grisoni F, Andrade CH, Kirchmair J, Landon M et al. First-generation themed article collections. Artificial Intelligence in the Life Sciences. 2023 Dec 15;4:100088. doi: 10.1016/j.ailsci.2023.100088
Scholz VA, Stork C, Frericks M, Kirchmair J. Computational prediction of the metabolites of agrochemicals formed in rats. Science of the Total Environment. 2023 Oct 15;895:165039. Epub 2023 Jun 22. doi: 10.1016/j.scitotenv.2023.165039
Gonzalez-Ponce K, Horta Andrade C, Hunter F, Kirchmair J, Martinez-Mayorga K, Medina-Franco JL et al. School of cheminformatics in Latin America. Journal of Cheminformatics. 2023 Sept 19;15(1):82. doi: 10.1186/s13321-023-00758-0
Resetar M, Tietcheu Galani BR, Tsamo AT, Chen Y, Schachner D, Stolzlechner S et al. Flindissone, a Limonoid Isolated from Trichilia prieuriana, Is an LXR Agonist. Journal of Natural Products. 2023 Aug 25;86(8):1901-1909. doi: 10.1021/acs.jnatprod.3c00059
Füzi B, Mathai N, Kirchmair J, Ecker GF. Toxicity prediction using target, interactome, and pathway profiles as descriptors. Toxicology Letters. 2023 May 15;381:20-26. doi: 10.1016/j.toxlet.2023.04.005
Listro R, Milli G, Pellegrini A, Motta C, Cavalloro V, Martino E et al. Structural Insights into the Ligand–LsrK Kinase Binding Mode: A Step Forward in the Discovery of Novel Antimicrobial Agents. Molecules. 2023 Mar 10;28(6):2542. doi: 10.3390/molecules28062542
Wiercioch M, Kirchmair J. DNN-PP: A novel Deep Neural Network approach and its applicability in drug-related property prediction. Expert systems with applications. 2023 Mar 1;213(B):119055. doi: 10.1016/j.eswa.2022.119055
Wasilewicz A, Kirchweger B, Bojkova D, Saad MJA, Langeder J, Butikofer M et al. Identification of Natural Products Inhibiting SARS-CoV-2 by Targeting Viral Proteases: A Combined in Silico and in Vitro Approach. Journal of Natural Products. 2023 Feb 24;86(2):264-275. Epub 2023 Jan 18. doi: 10.1021/acs.jnatprod.2c00843
Ehm P, Nelson N, Giehler S, Schaks M, Bettin B, Kirchmair J et al. Reduced expression and activity of patient-derived SHIP1 phosphatase domain mutants. Cellular signalling. 2023 Jan 1;101:110485. Epub 2022. doi: 10.1016/j.cellsig.2022.110485
Iobbi V, Donadio G, Lanteri AP, Maggi N, Kirchmair J, Parisi V et al. Metabolite profiling of "Eretto Liguria", an Italian local ecotype of Salvia rosmarinus, and antimicrobial activity against Pectobacterium carotovorum subsp. carotovorum. Planta Medica. 2023;89(14):1409-1409. doi: 10.1055/s-0043-1774222
Xue W, Wang Y, Lian X, Li X, Pang J, Kirchmair J et al. Discovery of N-quinazolinone-4-hydroxy-2-quinolone-3-carboxamides as DNA gyrase B-targeted antibacterial agents. Journal of Enzyme Inhibition and Medicinal Chemistry. 2022 Dec 31;37(1):1620-1631. doi: 10.1080/14756366.2022.2084088
Schwarz P, Perhal A, Schöberl LN, Kraus MM, Kirchmair J, Dirsch V. Identification of the Natural Steroid Sapogenin Diosgenin as a Direct Dual-Specific RORα/γ Inverse Agonist. Biomedicines. 2022 Aug;10(9). doi: 10.3390/biomedicines10092076
Kirchweger B, Wasilewicz A, Fischhuber K, Tahir A, Chen Y, Heiss EH et al. In Silico and In Vitro Approach to Assess Direct Allosteric AMPK Activators from Nature. Planta Medica. 2022 Aug;88(09/10):794-804. doi: 10.1055/a-1797-3030
21 - 40 out of 149

Computational approaches for predicting assay interference

Kirchmair, J. (Speaker)

23 May 2024

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Computational methods for early drug discovery

Kirchmair, J. (Speaker)

5 Apr 2024

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Activity Cliffs Go Smooth: Graph Siamese Neural Networks for Molecular Activity Prediction

Mqawass, G. (Speaker), Hirte, S. (Speaker), Kirchmair, J. (Speaker) & Kriege, N. M. (Speaker)

8 Dec 2023

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Maximizing the performance of similarity-based virtual screening methods

Kirchmair, J. (Speaker)

19 Apr 2023

Activity: Talks and presentations › Talk or oral contribution › Science to Science

In silico methods for flagging compounds that are likely to interfere with biological assays

Kirchmair, J. (Invited speaker)

16 Dec 2022

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Cheminformatics in natural product-based drug discovery

Kirchmair, J. (Invited speaker)

24 Nov 2022

Activity: Talks and presentations › Talk or oral contribution › Science to Science

From in silico to in vivo - Psychotria nemorosa alkaloids counter protein toxicity in Caenorhabditis elegans

Kirchweger, B. (Speaker), Klein-Junior, L. C. (Contributor), Pretsch, D. (Contributor), Chen, Y. (Contributor), Cretton, S. (Contributor), de Gasper, A. L. (Contributor), Heyden, Y. V. (Contributor), Christen, P. (Contributor), Kirchmair, J. (Contributor), Henriques, A. T. (Contributor) & Rollinger, J. M. (Contributor)

31 Aug 2022

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Natural products against SARS-CoV-2 or how to catch a butterfly?

Wasilewicz, A. (Speaker), Kirchweger, B. (Contributor), Bojkova, D. (Contributor), Abi Saad, M. J. (Contributor), Langeder, J. (Contributor), Grienke, U. (Contributor), Cinatl, J. (Contributor), Orts, J. (Contributor), Kirchmair, J. (Contributor), Rabenau, H. F. (Contributor) & Rollinger, J. M. (Contributor)

31 Aug 2022

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Cheminformatics in Natural Product-Based Drug Discovery

Kirchmair, J. (Keynote speaker)

30 Aug 2022

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Computerbasierte Vorhersage des Metabolismus von Wirkstoffen

Kirchmair, J. (Invited speaker)

12 Jul 2022

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Cheminformatics in natural product-based drug discovery

Kirchmair, J. (Invited speaker)

30 Jun 2022

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Introduction to machine learning in early drug discovery

Kirchmair, J. (Invited speaker)

21 Jun 2022

Activity: Talks and presentations › Talk or oral contribution › Science to Science

In silico and in vitro Approach to Assess Direct Allosteric AMPK Activators from Nature

Kirchweger, B. (Speaker), Wasilewicz, A. (Contributor), Fischhuber, K. (Contributor), Tahir, A. (Contributor), Chen, Y. (Contributor), Heiß, E. (Contributor), Langer, T. (Contributor), Kirchmair, J. (Contributor) & Rollinger, J. M. (Contributor)

20 May 2022

Activity: Talks and presentations › Talk or oral contribution › Science to Science

In silico prediction of xenobiotic metabolism

Kirchmair, J. (Invited speaker)

19 May 2022

Activity: Talks and presentations › Talk or oral contribution › Science to Science

In silico prediction of drug metabolism

Kirchmair, J. (Invited speaker)

4 May 2022

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Computational prediction of the metabolic fate of small molecules

Kirchmair, J. (Speaker)

28 Sept 2021

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Computational methods for flagging compounds likely to cause false outcomes in biological assays

Kirchmair, J. (Speaker)

7 Jun 2021

Activity: Talks and presentations › Talk or oral contribution › Science to Science

In silico prediction of the macromolecular targets of natural products

Kirchmair, J. (Speaker)

9 Mar 2021

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Computational prediction of xenobiotic metabolism (focus on AI/machine learning methods)

Kirchmair, J. (Speaker)

27 Jan 2021

Activity: Talks and presentations › Talk or oral contribution › Science to Science

Anti-Infectives Drug Discovery

Rollinger, J. M. (Project Lead), Dailey, L. A. (Co-Lead), Orts, J. (Co-Lead), Böttcher, T. (Co-Lead), Schmidt, M. (Co-Lead), Rademacher, C. J. H. (Co-Lead), Schützenmeister, N. (Co-Lead), Zotchev, S. (Co-Lead), Kirchmair, J. (Co-Lead) & Ortmayr, K. (Co-Lead)

1/07/25 → 31/01/30

Project: Research funding

AIDD: Advanced Machine Learning for Innovative Drug Discovery

Kirchmair, J. (Project Lead)

1/01/21 → 31/12/24

Project: Research funding

Department of Pharmaceutical Sciences

Josef-Holaubek-Platz 2 (UZA II)
1090 Wien
Room: 2G353

T: +43-1-4277-55104

johannes.kirchmair@univie.ac.at