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Showing 1–2 of 2 results
Advanced filters: Author: Igor Kozlovskii Clear advanced filters

  • Kozlovskii and Popov present BiteNet, a new computational method utilizing deep learning principles for rapid detection of binding sites. BiteNet considers proteins as 3D images, enabling rapid detection of allosteric sites from either static protein structures or its dynamic ensembles.

    • Igor Kozlovskii
    • Petr Popov
    ResearchOpen Access
    Communications Biology
    Volume: 3, P: 1-12

  • Two below-threshold surface code memories on superconducting processors markedly reduce logical error rates, achieving high efficiency and real-time decoding, indicating potential for practical large-scale fault-tolerant quantum algorithms.

    • Rajeev Acharya
    • Dmitry A. Abanin
    • Nicholas Zobrist
    ResearchOpen Access
    Nature
    Volume: 638, P: 920-926