Showing 1 - 4 results of 4 for search 'Andreas Krassnigg', query time: 2.80s Refine Results
  1. 1
    AI-assisted structural consensus-proteome prediction of human monkeypox viruses isolated within a year after the 2022 multi-country outbreak

    AI-assisted structural consensus-proteome prediction of human monkeypox viruses isolated within a year after the 2022 multi-country outbreak by Lena Parigger, Andreas Krassnigg, Stefan Grabuschnig, Karl Gruber, Georg Steinkellner, Christian C. Gruber

    Published 2023-12-01
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  2. 2
    Structural bioinformatics analysis of SARS-CoV-2 variants reveals higher hACE2 receptor binding affinity for Omicron B.1.1.529 spike RBD compared to wild type reference

    Structural bioinformatics analysis of SARS-CoV-2 variants reveals higher hACE2 receptor binding affinity for Omicron B.1.1.529 spike RBD compared to wild type reference by Vedat Durmaz, Katharina Köchl, Andreas Krassnigg, Lena Parigger, Michael Hetmann, Amit Singh, Daniel Nutz, Alexander Korsunsky, Ursula Kahler, Centina König, Lee Chang, Marius Krebs, Riccardo Bassetto, Tea Pavkov-Keller, Verena Resch, Karl Gruber, Georg Steinkellner, Christian C. Gruber

    Published 2022-08-01
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  3. 3
    Recent changes in the mutational dynamics of the SARS-CoV-2 main protease substantiate the danger of emerging resistance to antiviral drugs

    Recent changes in the mutational dynamics of the SARS-CoV-2 main protease substantiate the danger of emerging resistance to antiviral drugs by Lena Parigger, Lena Parigger, Andreas Krassnigg, Tobias Schopper, Amit Singh, Amit Singh, Katharina Tappler, Katharina Köchl, Michael Hetmann, Michael Hetmann, Michael Hetmann, Karl Gruber, Karl Gruber, Karl Gruber, Karl Gruber, Georg Steinkellner, Georg Steinkellner, Georg Steinkellner, Christian C. Gruber, Christian C. Gruber, Christian C. Gruber, Christian C. Gruber

    Published 2022-12-01
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  4. 4
    Optimizing variant-specific therapeutic SARS-CoV-2 decoys using deep-learning-guided molecular dynamics simulations

    Optimizing variant-specific therapeutic SARS-CoV-2 decoys using deep-learning-guided molecular dynamics simulations by Katharina Köchl, Tobias Schopper, Vedat Durmaz, Lena Parigger, Amit Singh, Andreas Krassnigg, Marco Cespugli, Wei Wu, Xiaoli Yang, Yanchong Zhang, Welson Wen-Shang Wang, Crystal Selluski, Tiehan Zhao, Xin Zhang, Caihong Bai, Leon Lin, Yuxiang Hu, Zhiwei Xie, Zaihui Zhang, Jun Yan, Kurt Zatloukal, Karl Gruber, Georg Steinkellner, Christian C. Gruber

    Published 2023-01-01
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