Dynamic Boolean modeling of molecular and cellular interactions in psoriasis predicts drug target candidates

Autor: Tsirvouli, Eirini, Noël, Vincent, Flobak, Åsmund, Calzone, Laurence, Kuiper, Martin

Publikováno v: In iScience 16 February 2024 27(2)

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Expanding the coverage of regulons from high-confidence prior knowledge for accurate estimation of transcription factor activities.

Autor: Müller-Dott, Sophia, Tsirvouli, Eirini, Vazquez, Miguel, Ramirez Flores, Ricardo O, Badia-i-Mompel, Pau, Fallegger, Robin, Türei, Dénes, Lægreid, Astrid, Saez-Rodriguez, Julio

Publikováno v: Nucleic Acids Research; 11/10/2023, Vol. 51 Issue 20, p10934-10949, 16p

A versatile and interoperable computational framework for the analysis and modeling of COVID-19 disease mechanisms

Autor: Niarakis, Anna, Ostaszewski, Marek, Mazein, Alexander, Kuperstein, Inna, Kutmon, Martina, Gillespie, Marc, Funahashi, Akira, Acencio, Marcio, Hemedan, Ahmed, Aichem, Michael, Klein, Karsten, Czauderna, Tobias, Burtscher, Felicia, Yamada, Takahiro, Hiki, Yusuke, Hiroi, Noriko, Hu, Finterly, Pham, Nhung, Ehrhart, Friederike, Willighagen, Egon, Valdeolivas, Alberto, Dugourd, Aurelien, Messina, Francesco, Esteban-Medina, Marina, Pena-Chilet, Maria, Rian, Kinza, Soliman, Sylvain, Aghamiri, Sara, Puniya, Bhanwar, Naldi, Aurelien, Helikar, Tomas, Singh, Vidisha, Farinas Fernandez, Marco, Bermudez, Viviam, Tsirvouli, Eirini, Montagud, Arnau, Noel, Vincent, Ponce de Leon, Miguel, Maier, Dieter, Bauch, Angela, Gyori, Benjamin, Bachman, John, Luna, Agustin, Pinero, Janet, Furlong, Laura, Balaur, Irina, Rougny, Adrien, Jarosz, Yohan, Overall, Rupert, Phair, Robert, Perfetto, Livia, Matthews, Lisa, Rex, Devasahayam, Orlic-Milacic, Marija, Monraz Gomez, Luis, de Meulder, Bertrand, Ravel, Jean, Jassal, Bijay, Satagopam, Venkata, Wu, Guanming, Golebiewski, Martin, Gawron, Piotr, Calzone, Laurence, Beckmann, Jacques, Evelo, Chris, d'Eustachio, Peter, Schreiber, Falk, Saez-Rodriguez, Julio, Dopazo, Joaquin, Kuiper, Martin, Valencia, Alfonso, Wolkenhauer, Olaf, Kitano, Hiroaki, Barillot, Emmanuel, Auffray, Charles, Balling, Rudi, Schneider, Reinhard

The COVID-19 Disease Map project is a large-scale community effort uniting 277 scientists from 130 Institutions around the globe. We use high-quality, mechanistic content describing SARS-CoV-2-host interactions and develop interoperable bioinformatic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26f407e3c68a11f2720278c05d9b19a6
https://inria.hal.science/hal-03907738

Characterisation of Colorectal Cancer Cell Lines through Proteomic Profiling of Their Extracellular Vesicles.

Autor: Heck, Kathleen A., Lindholm, Håvard T., Niederdorfer, Barbara, Tsirvouli, Eirini, Kuiper, Martin, Flobak, Åsmund, Lægreid, Astrid, Thommesen, Liv

Publikováno v: Proteomes; Mar2023, Vol. 11 Issue 1, p3, 20p