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Multiple probabilistic models extract features from protein sequence data and resolve functional diversity of very different protein families

View ORCID ProfileR. Vicedomini, J.P. Bouly, E. Laine, A. Falciatore, View ORCID ProfileA. Carbone
doi: https://doi.org/10.1101/717249
R. Vicedomini
1Sorbonne Université, CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative - UMR 7238, 4 place Jussieu, 75005 Paris, France
2Sorbonne Université, Institut des Sciences du Calcul et des Données
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J.P. Bouly
1Sorbonne Université, CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative - UMR 7238, 4 place Jussieu, 75005 Paris, France
3CNRS, Sorbonne Université, Institut de Biologie Physico-Chimique, Laboratory of Chloroplast Biology and Light Sensing in Microalgae - UMR7141, Paris, France
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E. Laine
1Sorbonne Université, CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative - UMR 7238, 4 place Jussieu, 75005 Paris, France
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A. Falciatore
1Sorbonne Université, CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative - UMR 7238, 4 place Jussieu, 75005 Paris, France
3CNRS, Sorbonne Université, Institut de Biologie Physico-Chimique, Laboratory of Chloroplast Biology and Light Sensing in Microalgae - UMR7141, Paris, France
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A. Carbone
1Sorbonne Université, CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative - UMR 7238, 4 place Jussieu, 75005 Paris, France
4Institut Universitaire de France, Paris 75005, France
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  • ORCID record for A. Carbone
  • For correspondence: alessandra.carbone@lip6.fr
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Posted March 09, 2021.
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Multiple probabilistic models extract features from protein sequence data and resolve functional diversity of very different protein families
R. Vicedomini, J.P. Bouly, E. Laine, A. Falciatore, A. Carbone
bioRxiv 717249; doi: https://doi.org/10.1101/717249
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Multiple probabilistic models extract features from protein sequence data and resolve functional diversity of very different protein families
R. Vicedomini, J.P. Bouly, E. Laine, A. Falciatore, A. Carbone
bioRxiv 717249; doi: https://doi.org/10.1101/717249

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