Works by Durmaz, Vedat

Results: 5
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    Optimizing variant-specific therapeutic SARS-CoV-2 decoys using deep-learning-guided molecular dynamics simulations.

    Published in:
    Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-27636-x
    By:
    • Köchl, Katharina;
    • Schopper, Tobias;
    • Durmaz, Vedat;
    • Parigger, Lena;
    • Singh, Amit;
    • Krassnigg, Andreas;
    • Cespugli, Marco;
    • Wu, Wei;
    • Yang, Xiaoli;
    • Zhang, Yanchong;
    • Wang, Welson Wen-Shang;
    • Selluski, Crystal;
    • Zhao, Tiehan;
    • Zhang, Xin;
    • Bai, Caihong;
    • Lin, Leon;
    • Hu, Yuxiang;
    • Xie, Zhiwei;
    • Zhang, Zaihui;
    • Yan, Jun
    Publication type:
    Article
    5

    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.

    Published in:
    Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-18507-y
    By:
    • Durmaz, Vedat;
    • Köchl, Katharina;
    • Krassnigg, Andreas;
    • Parigger, Lena;
    • Hetmann, Michael;
    • Singh, Amit;
    • Nutz, Daniel;
    • Korsunsky, Alexander;
    • Kahler, Ursula;
    • König, Centina;
    • Chang, Lee;
    • Krebs, Marius;
    • Bassetto, Riccardo;
    • Pavkov-Keller, Tea;
    • Resch, Verena;
    • Gruber, Karl;
    • Steinkellner, Georg;
    • Gruber, Christian C.
    Publication type:
    Article