Univ.-Prof. Mag. Dr. Johannes Kirchmair
Johannes Kirchmair
101 - 120 out of 149
Thelemann J, Illarionov B, Barylyuk K, Geist J, Kirchmair J, Schneider P et al. Aryl Bis-Sulfonamide Inhibitors of IspF from Arabidopsis thaliana and Plasmodium falciparum. ChemMedChem. 2015;10(12):2090-2098. doi: 10.1002/cmdc.201500382

Braun H, Kirchmair J, Williamson MJ, Makarov VA, Riabova OB, Glen RC et al. Molecular mechanism of a specific capsid binder resistance caused by mutations outside the binding pocket. Antiviral Research. 2015;123:138-145. doi: 10.1016/j.antiviral.2015.09.009

Tyzack JD, Mussa HY, Williamson MJ, Kirchmair J, Glen RC. Cytochrome P450 site of metabolism prediction from 2D topological fingerprints using GPU accelerated probabilistic classifiers. Journal of Cheminformatics. 2014 May 27;6(1):29. doi: 10.1186/1758-2946-6-29

Rechfeld F, Gruber P, Kirchmair J, Boehler M, Hauser N, Hechenberger G et al. Thienoquinolines as novel disruptors of the PKCε/RACK2 protein-protein interaction. Journal of Medicinal Chemistry. 2014 Apr 24;57(8):3235-3246. doi: 10.1021/jm401605c

Mak L, Liggi S, Tan L, Kusonmano K, Rollinger JM, Koutsoukas A et al. Anti-cancer drug development: Computational strategies to identify and target proteins involved in cancer metabolism. Current Pharmaceutical Design. 2013;19(4):532-577. doi: 10.2174/138161213804581855

Kirchmair J, Williamson MJ, Afzal AM, Tyzack JD, Choy APK, Howlett A et al. FAst MEtabolizer (FAME): A Rapid and Accurate Predictor of Sites of Metabolism in Multiple Species by Endogenous Enzymes. Journal of Chemical Information and Modeling. 2013;53(11):2896–2907. doi: 10.1021/ci400503s

Kirchmair J, Howlett A, Peironcely JE, Murrell DS, Williamson MJ, Adams SE et al. How Do Metabolites Differ from Their Parent Molecules and How Are They Excreted? Journal of Chemical Information and Modeling. 2013;53(2):354–367. doi: 10.1021/ci300487z

Xuan S, Wang M, Kang H, Kirchmair J, Tan L, Yan A. Support Vector Machine (SVM) Models for Predicting Inhibitors of the 3 ' Processing Step of HIV-1 Integrase. Molecular Informatics. 2013;32(9-10):811-826. doi: 10.1002/minf.201300107

Kirchmair J, Williamson MJ, Tyzack JD, Tan L, Bond PJ, Bender A et al. Computational Prediction of Metabolism: Sites, Products, SAR, P450 Enzyme Dynamics, and Mechanisms. Journal of Chemical Information and Modeling. 2012;52(3):617–648. doi: 10.1021/ci200542m

Santos-Sierra S, Kirchmair J, Perna A, Reiss D, Kemter K, Roeschinger W et al. DISCOVERY OF NOVEL PHARMACOLOGICAL CHAPERONES FOR PKU THAT CORRECT PHENYLKETONURIA IN VIVO. Journal of Inherited Metabolic Disease. 2012;35(S1):S3.

Distinto S, Esposito F, Kirchmair J, Cardia MC, Gaspari M, Maccioni E et al. Identification of HIV-1 reverse transcriptase dual inhibitors by a combined shape-, 2D-fingerprint- and pharmacophore-based virtual screening approach. European Journal of Medicinal Chemistry. 2012;50:216-229. doi: 10.1016/j.ejmech.2012.01.056

Santos-Sierra S, Kirchmair J, Perna AM, Reiss D, Kemter K, Roeschinger W et al. Novel pharmacological chaperones that correct phenylketonuria in mice. Human Molecular Genetics. 2012;21(8):1877–1887. doi: 10.1093/hmg/dds001

Distinto S, Yanez M, Alcaro S, Cardia MC, Gaspari M, Sanna ML et al. Synthesis and biological assessment of novel 2-thiazolylhydrazones and computational analysis of their recognition by monoamine oxidase B. European Journal of Medicinal Chemistry. 2012;48:284-295. doi: 10.1016/j.ejmech.2011.12.027

Gleeson MP, Modi S, Bender A, Robinson RLM, Kirchmair J, Promkatkaew M et al. The Challenges Involved in Modeling Toxicity Data In Silico: A Review. Current Pharmaceutical Design. 2012;18(9):1266-1291. doi: 10.2174/138161212799436359

Schuster D, Kowalik D, Kirchmair J, Laggner C, Markt P, Aebischer-Gumy C et al. Identification of chemically diverse, novel inhibitors of 17 beta-hydroxysteroid dehydrogenase type 3 and 5 by pharmacophore-based virtual screening. The Journal of Steroid Biochemistry and Molecular Biology. 2011 May;125(1-2):148-161. doi: 10.1016/j.jsbmb.2011.01.016

Kirchmair J, Spitzer GM, Liedl KR. Consideration of Water and Solvation Effects in Virtual Screening. In Virtual Screening: Principles, Challenges, and Practical Guidelines. Weinheim: Wiley - V C H. 2011. p. 263-289. (Methods and Principles in Medicinal Chemistry, Vol. 48).

Kirchmair J, Distinto S, Liedl KR, Markt P, Rollinger JM, Schuster D et al. Development of anti-viral agents using molecular modeling and virtual screening techniques. Infectious Disorders, Drug Targets. 2011;11(1):64-93. doi: 10.2174/187152611794407782

Maenz B, Goetz V, Wunderlich K, Eisel J, Kirchmair J, Stech J et al. Disruption of the Viral Polymerase Complex Assembly as a Novel Approach to Attenuate Influenza A Virus. Journal of Biological Chemistry. 2011;286(10):8414-8424. doi: 10.1074/jbc.M110.205534

Koutsoukas A, Simms B, Kirchmair J, Bond PJ, Whitmore AV, Zimmer S et al. From in silico target prediction to multi-target drug design: Current databases, methods and applications. Journal of Proteomics. 2011;74(12):2554-2574. doi: 10.1016/j.jprot.2011.05.011

Rechfeld F, Gruber P, Hofmann J, Kirchmair J. Modulators of Protein-Protein Interactions - Novel Approaches in Targeting Protein Kinases and Other Pharmaceutically Relevant Biomolecules. Current Topics in Medicinal Chemistry. 2011;11(11):1305-1319. doi: 10.2174/156802611795589610

101 - 120 out of 149

Computational approaches for predicting assay interference

Kirchmair, J. (Speaker)

23 May 2024

Activity: Talks and presentationsTalk or oral contributionScience to Science


Computational methods for early drug discovery

Kirchmair, J. (Speaker)

5 Apr 2024

Activity: Talks and presentationsTalk or oral contributionScience 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 presentationsTalk or oral contributionScience to Science


Maximizing the performance of similarity-based virtual screening methods

Kirchmair, J. (Speaker)

19 Apr 2023

Activity: Talks and presentationsTalk or oral contributionScience 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 presentationsTalk or oral contributionScience to Science


Cheminformatics in natural product-based drug discovery

Kirchmair, J. (Invited speaker)

24 Nov 2022

Activity: Talks and presentationsTalk or oral contributionScience 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 presentationsTalk or oral contributionScience 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 presentationsTalk or oral contributionScience to Science


Cheminformatics in Natural Product-Based Drug Discovery

Kirchmair, J. (Keynote speaker)

30 Aug 2022

Activity: Talks and presentationsTalk or oral contributionScience to Science


Computerbasierte Vorhersage des Metabolismus von Wirkstoffen

Kirchmair, J. (Invited speaker)

12 Jul 2022

Activity: Talks and presentationsTalk or oral contributionScience to Science


Cheminformatics in natural product-based drug discovery

Kirchmair, J. (Invited speaker)

30 Jun 2022

Activity: Talks and presentationsTalk or oral contributionScience to Science


Introduction to machine learning in early drug discovery

Kirchmair, J. (Invited speaker)

21 Jun 2022

Activity: Talks and presentationsTalk or oral contributionScience 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 presentationsTalk or oral contributionScience to Science


In silico prediction of xenobiotic metabolism

Kirchmair, J. (Invited speaker)

19 May 2022

Activity: Talks and presentationsTalk or oral contributionScience to Science


In silico prediction of drug metabolism

Kirchmair, J. (Invited speaker)

4 May 2022

Activity: Talks and presentationsTalk or oral contributionScience to Science


Computational prediction of the metabolic fate of small molecules

Kirchmair, J. (Speaker)

28 Sept 2021

Activity: Talks and presentationsTalk or oral contributionScience to Science


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

Kirchmair, J. (Speaker)

7 Jun 2021

Activity: Talks and presentationsTalk or oral contributionScience to Science


In silico prediction of the macromolecular targets of natural products

Kirchmair, J. (Speaker)

9 Mar 2021

Activity: Talks and presentationsTalk or oral contributionScience to Science


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

Kirchmair, J. (Speaker)

27 Jan 2021

Activity: Talks and presentationsTalk or oral contributionScience 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)

1/07/2531/01/30

Project: Research funding


AIDD: Advanced Machine Learning for Innovative Drug Discovery

Kirchmair, J. (Project Lead)

1/01/2131/12/24

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