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From data to biological processes: interactions, networks and analyses, to understand cellular functions

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Authors : Brun, Christine (Author of the conference)
CIRM (Publisher )

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Abstract : Basics on the biology of molecular interactions and interaction data will be given all along the presentation of some of our research projects.

Keywords : clustering; biological molecular network

MSC Codes :
92E10 - Molecular structure (graph-theoretic methods, methods of differential topology, etc.)
92C42 - Systems biology, networks

    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 23/03/2020
    Conference Date : 02/03/2020
    Subseries : Research talks
    arXiv category : Quantitative Biology
    Mathematical Area(s) : Mathematics in Science & Technology
    Format : MP4 (.mp4) - HD
    Video Time : 01:08:59
    Targeted Audience : Researchers
    Download : https://videos.cirm-math.fr/2020-03-02_Brun.mp4

Information on the Event

Event Title : Thematic Month Week 5: Networks and Molecular Biology / Mois thématique Semaine 5 : Réseaux et biologie moléculaire
Event Organizers : Baudot, Anais ; Hubert, Florence ; Mossé, Brigitte ; Rémy, Elisabeth ; Tichit, Laurent ; Vignes, Matthieu
Dates : 02/03/2020 - 06/03/2020
Event Year : 2020
Event URL : https://conferences.cirm-math.fr/2305.html

Citation Data

DOI : 10.24350/CIRM.V.19619603
Cite this video as: Brun, Christine (2020). From data to biological processes: interactions, networks and analyses, to understand cellular functions. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19619603
URI : http://dx.doi.org/10.24350/CIRM.V.19619603

See Also

Bibliography

  • BECKER, Emmanuelle, ROBISSON, Benoît, CHAPPLE, Charles E., et al. Multifunctional proteins revealed by overlapping clustering in protein interaction network. Bioinformatics, 2012, vol. 28, no 1, p. 84-90. - https://doi.org/10.1093/bioinformatics/btr621

  • CHAPPLE, Charles E., HERRMANN, Carl, et BRUN, Christine. PrOnto database: GO term functional dissimilarity inferred from biological data. Frontiers in genetics, 2015, vol. 6, p. 200. - https://doi.org/10.3389/fgene.2015.00200

  • CHAPPLE, Charles E., ROBISSON, Benoit, SPINELLI, Lionel, et al. Extreme multifunctional proteins identified from a human protein interaction network. Nature communications, 2015, vol. 6, no 1, p. 1-9. - http://dx.doi.org/10.1038/ncomms8412

  • ZANZONI, Andreas, RIBEIRO, Diogo M., et BRUN, Christine. Understanding protein multifunctionality: from short linear motifs to cellular functions. Cellular and Molecular Life Sciences, 2019, p. 1-6. - http://dx.doi.org/10.1007/s00018-019-03273-4

  • BALTZ, Alexander G., MUNSCHAUER, Mathias, SCHWANHÄUSSER, Björn, et al. The mRNA-bound proteome and its global occupancy profile on protein-coding transcripts. Molecular cell, 2012, vol. 46, no 5, p. 674-690. - https://doi.org/10.1016/j.molcel.2012.05.021

  • BECKMANN, Benedikt M., CASTELLO, Alfredo, et MEDENBACH, Jan. The expanding universe of ribonucleoproteins: of novel RNA-binding proteins and unconventional interactions. Pflügers Archiv-European Journal of Physiology, 2016, vol. 468, no 6, p. 1029-1040. - https://doi.org/10.1007/s00424-016-1819-4

  • HENTZE, Matthias W., CASTELLO, Alfredo, SCHWARZL, Thomas, et al. A brave new world of RNA-binding proteins. Nature Reviews Molecular Cell Biology, 2018, vol. 19, no 5, p. 327. - https://doi.org/10.1038/nrm.2017.130

  • RIBEIRO, António J. M., HOLLIDAY, Gemma L., FURNHAM, Nicholas, et al. Mechanism and Catalytic Site Atlas (M-CSA): a database of enzyme reaction mechanisms and active sites. Nucleic acids research, 2018, vol. 46, no D1, p. D618-D623. - https://doi.org/10.1093/nar/gkx1012



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