Zobrazeno 1 - 10
of 357
pro vyhledávání: '"Henning Hermjakob"'
Autor:
Baradwaj Simha Sankar, Destiny Gilliland, Jack Rincon, Henning Hermjakob, Yu Yan, Irsyad Adam, Gwyneth Lemaster, Dean Wang, Karol Watson, Alex Bui, Wei Wang, Peipei Ping
Publikováno v:
Bioengineering, Vol 11, Iss 10, p 984 (2024)
Foundation Models (FMs) are gaining increasing attention in the biomedical artificial intelligence (AI) ecosystem due to their ability to represent and contextualize multimodal biomedical data. These capabilities make FMs a valuable tool for a variet
Externí odkaz:
https://doaj.org/article/f8928af6331041819daed9979c4dbdfc
Autor:
Katharina F. Heil, Anze Zupanic, Chris T. Evelo, Carole Goble, Kristel Van Steen, Tadeja Rezen, Hans V Westerhoff, Rahuman S. Malik Sheriff, Maria Suarez Diez, Henning Hermjakob, Marco Pagni, Damjana Rozman, Barbara Szomolay, Miguel Rocha, Jasper Koehorst, Alexey Kolodkin, Victoria Dominguez Del Angel, David Šafránek, Dirk Fey, Ilja Arts, Rui Benfeitas, Vitor Martins dos Santos, Mihail Anton, Marek Ostaszewski, Ulrike Wittig, John M. Hancock, Brane Leskošek, Katherine Wolstencroft, Martin Golebiewski, Wolfgang Müller, Polonca Ferk, Kristina Gruden, William T. Scott, Elena Domínguez-Romero, Martina Kutmon, Maria I. Klapa, Sébastien Moretti, Pascal Kahlem
Publikováno v:
F1000Research, Vol 11 (2024)
In this white paper, we describe the founding of a new ELIXIR Community - the Systems Biology Community - and its proposed future contributions to both ELIXIR and the broader community of systems biologists in Europe and worldwide. The Community beli
Externí odkaz:
https://doaj.org/article/231bbdc173f041d7b339528a06d2b5e4
Autor:
Rahuman S. Malik Sheriff, Hiroki Asari, Henning Hermjakob, Wolfgang Huber, Thomas Quail, Silvia D. M. Santos, Amber M. Smith, Virginie Uhlmann
Publikováno v:
Frontiers in Systems Biology, Vol 4 (2024)
Mathematical modeling is a pivotal tool for deciphering the complexities of biological systems and their control mechanisms, providing substantial benefits for industrial applications and answering relevant biological questions. BioModels’ Model of
Externí odkaz:
https://doaj.org/article/dd1345240dee465aac7c2fc7a9327a4f
Publikováno v:
Journal of Cheminformatics, Vol 14, Iss 1, Pp 1-10 (2022)
Abstract As an alternative to one drug-one target approaches, systems biology methods can provide a deeper insight into the holistic effects of drugs. Network-based approaches are tools of systems biology, that can represent valuable methods for visu
Externí odkaz:
https://doaj.org/article/0616fa70d451455780445ea32b406b6a
Autor:
Romain David, Audrey S. Richard, Claire Connellan, Katharina B. Lauer, Maria Luisa Chiusano, Carole Goble, Martin Houde, Isabel Kemmer, Antje Keppler, Philippe Lieutaud, Christian Ohmann, Maria Panagiotopoulou, Sara Raza Khan, Arina Rybina, Stian Soiland-Reyes, Charlotte Wit, Rudolf Wittner, Rafael Andrade Buono, Sarah Arnaud Marsh, Pauline Audergon, Dylan Bonfils, Jose-Maria Carazo, Remi Charrel, Frederik Coppens, Wolfgang Fecke, Claudia Filippone, Eva Garcia Alvarez, Sheraz Gul, Henning Hermjakob, Katja Herzog, Petr Holub, Lukasz Kozera, Allyson L. Lister, José López-Coronado, Bénédicte Madon, Kurt Majcen, William Martin, Wolfgang Müller, Elli Papadopoulou, Christine M.A. Prat, Paolo Romano, Susanna-Assunta Sansone, Gary Saunders, Niklas Blomberg, Jonathan Ewbank
Publikováno v:
Data Science Journal, Vol 22, Pp 52-52 (2023)
The Horizon Europe project ISIDORe is dedicated to pandemic preparedness and responsiveness research. It brings together 17 research infrastructures (RIs) and networks to provide a broad range of services to infectious disease researchers. An efficie
Externí odkaz:
https://doaj.org/article/eb2f47806c214f36a5c71427ca52a03b
Autor:
Marek Ostaszewski, Anna Niarakis, Alexander Mazein, Inna Kuperstein, Robert Phair, Aurelio Orta‐Resendiz, Vidisha Singh, Sara Sadat Aghamiri, Marcio Luis Acencio, Enrico Glaab, Andreas Ruepp, Gisela Fobo, Corinna Montrone, Barbara Brauner, Goar Frishman, Luis Cristóbal Monraz Gómez, Julia Somers, Matti Hoch, Shailendra Kumar Gupta, Julia Scheel, Hanna Borlinghaus, Tobias Czauderna, Falk Schreiber, Arnau Montagud, Miguel Ponce de Leon, Akira Funahashi, Yusuke Hiki, Noriko Hiroi, Takahiro G Yamada, Andreas Dräger, Alina Renz, Muhammad Naveez, Zsolt Bocskei, Francesco Messina, Daniela Börnigen, Liam Fergusson, Marta Conti, Marius Rameil, Vanessa Nakonecnij, Jakob Vanhoefer, Leonard Schmiester, Muying Wang, Emily E Ackerman, Jason E Shoemaker, Jeremy Zucker, Kristie Oxford, Jeremy Teuton, Ebru Kocakaya, Gökçe Yağmur Summak, Kristina Hanspers, Martina Kutmon, Susan Coort, Lars Eijssen, Friederike Ehrhart, Devasahayam Arokia Balaya Rex, Denise Slenter, Marvin Martens, Nhung Pham, Robin Haw, Bijay Jassal, Lisa Matthews, Marija Orlic‐Milacic, Andrea Senff-Ribeiro, Karen Rothfels, Veronica Shamovsky, Ralf Stephan, Cristoffer Sevilla, Thawfeek Varusai, Jean‐Marie Ravel, Rupsha Fraser, Vera Ortseifen, Silvia Marchesi, Piotr Gawron, Ewa Smula, Laurent Heirendt, Venkata Satagopam, Guanming Wu, Anders Riutta, Martin Golebiewski, Stuart Owen, Carole Goble, Xiaoming Hu, Rupert W Overall, Dieter Maier, Angela Bauch, Benjamin M Gyori, John A Bachman, Carlos Vega, Valentin Grouès, Miguel Vazquez, Pablo Porras, Luana Licata, Marta Iannuccelli, Francesca Sacco, Anastasia Nesterova, Anton Yuryev, Anita de Waard, Denes Turei, Augustin Luna, Ozgun Babur, Sylvain Soliman, Alberto Valdeolivas, Marina Esteban‐Medina, Maria Peña‐Chilet, Kinza Rian, Tomáš Helikar, Bhanwar Lal Puniya, Dezso Modos, Agatha Treveil, Marton Olbei, Bertrand De Meulder, Stephane Ballereau, Aurélien Dugourd, Aurélien Naldi, Vincent Noël, Laurence Calzone, Chris Sander, Emek Demir, Tamas Korcsmaros, Tom C Freeman, Franck Augé, Jacques S Beckmann, Jan Hasenauer, Olaf Wolkenhauer, Egon L Willighagen, Alexander R Pico, Chris T Evelo, Marc E Gillespie, Lincoln D Stein, Henning Hermjakob, Peter D'Eustachio, Julio Saez‐Rodriguez, Joaquin Dopazo, Alfonso Valencia, Hiroaki Kitano, Emmanuel Barillot, Charles Auffray, Rudi Balling, Reinhard Schneider, the COVID‐19 Disease Map Community
Publikováno v:
Molecular Systems Biology, Vol 17, Iss 10, Pp 1-22 (2021)
Abstract We need to effectively combine the knowledge from surging literature with complex datasets to propose mechanistic models of SARS‐CoV‐2 infection, improving data interpretation and predicting key targets of intervention. Here, we describe
Externí odkaz:
https://doaj.org/article/07d2352966634fc58ef9a394d1092d67
Autor:
Katharina F. Heil, Anze Zupanic, Chris T. Evelo, Carole Goble, Kristel Van Steen, Tadeja Rezen, Hans V Westerhoff, Rahuman S. Malik Sheriff, Maria Suarez Diez, Henning Hermjakob, Marco Pagni, Damjana Rozman, Barbara Szomolay, Miguel Rocha, Jasper Koehorst, Alexey Kolodkin, Victoria Dominguez Del Angel, David Šafránek, Dirk Fey, Ilja Arts, Rui Benfeitas, Vitor Martins dos Santos, Mihail Anton, Marek Ostaszewski, Ulrike Wittig, John M. Hancock, Brane Leskošek, Katherine Wolstencroft, Martin Golebiewski, Wolfgang Müller, Polonca Ferk, Kristina Gruden, Martina Kutmon, Maria I. Klapa, Sébastien Moretti, Pascal Kahlem
Publikováno v:
F1000Research, Vol 11 (2022)
In this white paper, we describe the founding of a new ELIXIR Community - the Systems Biology Community - and its proposed future contributions to both ELIXIR and the broader community of systems biologists in Europe and worldwide. The Community beli
Externí odkaz:
https://doaj.org/article/da5bfc6068504a22a6da45f585378940
Autor:
Krishna Tiwari, Sarubini Kananathan, Matthew G Roberts, Johannes P Meyer, Mohammad Umer Sharif Shohan, Ashley Xavier, Matthieu Maire, Ahmad Zyoud, Jinghao Men, Szeyi Ng, Tung V N Nguyen, Mihai Glont, Henning Hermjakob, Rahuman S Malik‐Sheriff
Publikováno v:
Molecular Systems Biology, Vol 17, Iss 2, Pp 1-7 (2021)
Abstract Reproducibility of scientific results is a key element of science and credibility. The lack of reproducibility across many scientific fields has emerged as an important concern. In this piece, we assess mathematical model reproducibility and
Externí odkaz:
https://doaj.org/article/9e30a87294f04fefb03170ad85c3f298
Autor:
Pablo Porras, Elisabet Barrera, Alan Bridge, Noemi del-Toro, Gianni Cesareni, Margaret Duesbury, Henning Hermjakob, Marta Iannuccelli, Igor Jurisica, Max Kotlyar, Luana Licata, Ruth C. Lovering, David J. Lynn, Birgit Meldal, Bindu Nanduri, Kalpana Paneerselvam, Simona Panni, Chiara Pastrello, Matteo Pellegrini, Livia Perfetto, Negin Rahimzadeh, Prashansa Ratan, Sylvie Ricard-Blum, Lukasz Salwinski, Gautam Shirodkar, Anjalia Shrivastava, Sandra Orchard
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
The IMEx consortium provides one of the largest resources of curated, experimentally verified molecular interaction data. Here, the authors review how IMEx evolved into a fundamental resource for life scientists and describe how IMEx data can support
Externí odkaz:
https://doaj.org/article/1dcc4fce40a042d9b98ea3d25e21c5d2
Autor:
Sarah M Keating, Dagmar Waltemath, Matthias König, Fengkai Zhang, Andreas Dräger, Claudine Chaouiya, Frank T Bergmann, Andrew Finney, Colin S Gillespie, Tomáš Helikar, Stefan Hoops, Rahuman S Malik‐Sheriff, Stuart L Moodie, Ion I Moraru, Chris J Myers, Aurélien Naldi, Brett G Olivier, Sven Sahle, James C Schaff, Lucian P Smith, Maciej J Swat, Denis Thieffry, Leandro Watanabe, Darren J Wilkinson, Michael L Blinov, Kimberly Begley, James R Faeder, Harold F Gómez, Thomas M Hamm, Yuichiro Inagaki, Wolfram Liebermeister, Allyson L Lister, Daniel Lucio, Eric Mjolsness, Carole J Proctor, Karthik Raman, Nicolas Rodriguez, Clifford A Shaffer, Bruce E Shapiro, Joerg Stelling, Neil Swainston, Naoki Tanimura, John Wagner, Martin Meier‐Schellersheim, Herbert M Sauro, Bernhard Palsson, Hamid Bolouri, Hiroaki Kitano, Akira Funahashi, Henning Hermjakob, John C Doyle, Michael Hucka, SBML Level 3 Community members, Richard R Adams, Nicholas A Allen, Bastian R Angermann, Marco Antoniotti, Gary D Bader, Jan Červený, Mélanie Courtot, Chris D Cox, Piero Dalle Pezze, Emek Demir, William S Denney, Harish Dharuri, Julien Dorier, Dirk Drasdo, Ali Ebrahim, Johannes Eichner, Johan Elf, Lukas Endler, Chris T Evelo, Christoph Flamm, Ronan MT Fleming, Martina Fröhlich, Mihai Glont, Emanuel Gonçalves, Martin Golebiewski, Hovakim Grabski, Alex Gutteridge, Damon Hachmeister, Leonard A Harris, Benjamin D Heavner, Ron Henkel, William S Hlavacek, Bin Hu, Daniel R Hyduke, Hidde de Jong, Nick Juty, Peter D Karp, Jonathan R Karr, Douglas B Kell, Roland Keller, Ilya Kiselev, Steffen Klamt, Edda Klipp, Christian Knüpfer, Fedor Kolpakov, Falko Krause, Martina Kutmon, Camille Laibe, Conor Lawless, Lu Li, Leslie M Loew, Rainer Machne, Yukiko Matsuoka, Pedro Mendes, Huaiyu Mi, Florian Mittag, Pedro T Monteiro, Kedar Nath Natarajan, Poul MF Nielsen, Tramy Nguyen, Alida Palmisano, Jean‐Baptiste Pettit, Thomas Pfau, Robert D Phair, Tomas Radivoyevitch, Johann M Rohwer, Oliver A Ruebenacker, Julio Saez‐Rodriguez, Martin Scharm, Henning Schmidt, Falk Schreiber, Michael Schubert, Roman Schulte, Stuart C Sealfon, Kieran Smallbone, Sylvain Soliman, Melanie I Stefan, Devin P Sullivan, Koichi Takahashi, Bas Teusink, David Tolnay, Ibrahim Vazirabad, Axel von Kamp, Ulrike Wittig, Clemens Wrzodek, Finja Wrzodek, Ioannis Xenarios, Anna Zhukova, Jeremy Zucker
Publikováno v:
Molecular Systems Biology, Vol 16, Iss 8, Pp 1-21 (2020)
Abstract Systems biology has experienced dramatic growth in the number, size, and complexity of computational models. To reproduce simulation results and reuse models, researchers must exchange unambiguous model descriptions. We review the latest edi
Externí odkaz:
https://doaj.org/article/86e517962df24b21af078b7f951f7487