From data to biological processes: interactions, networks and analyses, to understand cellular functions | Vidéo | Carmin.tv

00:00:00 / 00:00:00

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

By Christine Brun

Appears in collection : Thematic Month Week 5: Networks and Molecular Biology / Mois thématique Semaine 5 : Réseaux et biologie moléculaire

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

Information about the video

Date of recording 02/03/2020
Date of publication 23/03/2020
Institution CIRM
Licence CC BY NC ND
Language English
Audience Researchers
Director(s) Guillaume Hennenfent
Format MP4

Citation data

DOI 10.24350/CIRM.V.19619603
Cite this video Brun, Christine (02/03/2020). From data to biological processes: interactions, networks and analyses, to understand cellular functions. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.19619603
URL https://dx.doi.org/10.24350/CIRM.V.19619603

Domain(s)

Quantitative Biology

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

MSC codes

Last related questions on MathOverflow

You have to connect your Carmin.tv account with mathoverflow to add question

Ask a question on MathOverflow

Copyright Carmin.tv 2024

Give feedback