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Physics of biological computation across scales

INVITED · T13 · ID: 785495

Presentations

  • Optimization and historical contingency in protein sequences

    ORAL · Invited

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    Publication: [1] Dietler N, Lupo U, Bitbol A-F (2022) "Impact of phylogeny on structural contact inference from protein sequence data", https://arxiv.org/abs/2209.13045<br>[2] Colavin A, Atolia E, Bitbol A-F, Huang KC (2022) "Extracting phylogenetic dimensions of coevolution reveals hidden functional signals", Scientific Reports 12(1):820<br>[3] Gerardos A, Dietler N, Bitbol A-F (2022) "Correlations from structure and phylogeny combine constructively in the inference of protein partners from sequences", PLoS Computational Biology 18(5): e1010147<br>[4] Gandarilla-Perez CA, Pinilla S, Bitbol A-F, Weigt M (2022) "Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins", https://arxiv.org/abs/2208.11626<br>[5] Lupo U, Sgarbossa D, Bitbol A-F (2022) "Protein language models trained on multiple sequence alignments learn phylogenetic relationships", https://arxiv.org/abs/2203.15465<br>[6] Sgarbossa D, Lupo U, Bitbol A-F (2022) "Generative power of a protein language model trained on multiple sequence alignments", https://arxiv.org/abs/2204.07110

    Presenters

    • Anne-Florence Bitbol

      EPFL, Ecole Polytechnique Federale de Lausanne

    Authors

    • Anne-Florence Bitbol

      EPFL, Ecole Polytechnique Federale de Lausanne

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  • Structure, function and dynamics of the C. elegans nervous system

    ORAL · Invited

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    Publication: Francesco Randi, Anuj K. Sharma, Sophie Dvali, Andrew M. Leifer, "A functional connectivity atlas of C. elegans measured by neural activation." arXiv:2208.04790 (2022)

    Presenters

    • Andrew M Leifer

      Princeton University, Physics and Princeton Neuroscience Institute, Princeton University

    Authors

    • Andrew M Leifer

      Princeton University, Physics and Princeton Neuroscience Institute, Princeton University

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  • Understanding cellular decisions in latent space

    ORAL · Invited

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    Publication: Achar et al., Universal antigen encoding of T cell activation from high-dimensional cytokine dynamics, Science, 2022, 376(6595), 880-884<br><br>Seyboldt et al., Latent space of a small genetic network: Geometry of dynamics and information, PNAS , 2022, e2113651119

    Presenters

    • Paul Francois

      McGill University

    Authors

    • Paul Francois

      McGill University

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