Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Michele Forlin"'
Autor:
Vasileios Stathias, Anna M. Jermakowicz, Marie E. Maloof, Michele Forlin, Winston Walters, Robert K. Suter, Michael A. Durante, Sion L. Williams, J. William Harbour, Claude-Henry Volmar, Nicholas J. Lyons, Claes Wahlestedt, Regina M. Graham, Michael E. Ivan, Ricardo J. Komotar, Jann N. Sarkaria, Aravind Subramanian, Todd R. Golub, Stephan C. Schürer, Nagi G. Ayad
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
Inherent or acquired resistance to treatment of glioblastoma (GBM) is nearly universal. Here, the authors introduce a platform to identify synergistic drug combinations for patient-specific treatment of GBM based on gene expression signatures and sma
Externí odkaz:
https://doaj.org/article/27c294a5f7c843d6a3a8dc34a08977c6
Autor:
Yu Lin, Saurabh Mehta, Hande Küçük-McGinty, John Paul Turner, Dusica Vidovic, Michele Forlin, Amar Koleti, Dac-Trung Nguyen, Lars Juhl Jensen, Rajarshi Guha, Stephen L. Mathias, Oleg Ursu, Vasileios Stathias, Jianbin Duan, Nooshin Nabizadeh, Caty Chung, Christopher Mader, Ubbo Visser, Jeremy J. Yang, Cristian G. Bologa, Tudor I. Oprea, Stephan C. Schürer
Publikováno v:
Journal of Biomedical Semantics, Vol 8, Iss 1, Pp 1-16 (2017)
Abstract Background One of the most successful approaches to develop new small molecule therapeutics has been to start from a validated druggable protein target. However, only a small subset of potentially druggable targets has attracted significant
Externí odkaz:
https://doaj.org/article/c7f21332499a4a20a9198a03f5457353
Autor:
Roberta Lentini, Noël Yeh Martín, Michele Forlin, Luca Belmonte, Jason Fontana, Michele Cornella, Laura Martini, Sabrina Tamburini, William E. Bentley, Olivier Jousson, Sheref S. Mansy
Publikováno v:
ACS Central Science, Vol 3, Iss 2, Pp 117-123 (2017)
Externí odkaz:
https://doaj.org/article/3cf21118bb864bd8961c482e08430a6b
Publikováno v:
Electronic Proceedings in Theoretical Computer Science, Vol 14, Iss Proc. PDMC 2009, Pp 47-61 (2009)
We consider the problem of verifying stochastic models of biochemical networks against behavioral properties expressed in temporal logic terms. Exact probabilistic verification approaches such as, for example, CSL/PCTL model checking, are undermined
Externí odkaz:
https://doaj.org/article/68d9643601cf448cba6cbaec4a4eb33f
Autor:
Nicholas A. Clark, Marc R. Birtwistle, Jennifer E. Van Eyk, Moshe C. Silverstein, Caitlin E. Mills, Mario Niepel, Marcin Pilarczyk, Alexander Lachmann, Elizabeth H. Williams, Simon Koplev, Nathanael S. Gray, Uzma Hussain, Albert Lee, Ajay Pillai, Edward He, Mark A. Dane, Evren U. Azeloglu, Dusica Vidovic, Jeannette Osterloh, Maria G. Banuelos, Maxim V. Kuleshov, Rick J. Koch, Stephan C. Schürer, Karen Sachs, Damir Sudar, Divya Ramamoorthy, Dhruv Sareen, Shana White, Heidi S. Feiler, Siva Sivaganesan, Kathleen M. Jagodnik, Clive N. Svendsen, Mohammad Fallahi-Sichani, Miriam Adam, Jaroslaw Meller, Todd R. Golub, Ravi Iyengar, Jennifer Stocksdale, Amar Koleti, David Wrobel, Sherry L. Jenkins, Jacob D. Jaffe, Alexandra B Keenan, Renan Escalante-Chong, Daniel J. Cooper, Loren Ornelas, Joe W. Gray, Alexander LeNail, Ritchie Ho, Alyssa Coye, Avi Ma'ayan, Steve Finkbiener, Lixia Zhang, Andrea Matlock, Eric A. Sobie, Vidya Venkatraman, Anders B. Dohlman, Jeffrey D. Rothstein, Michele Forlin, Jonathan Z. Li, Rebecca Smith, Naim Al Mahi, Kaylyn Devlin, Caty Chung, Marc Hafner, Malvina Papanastasiou, Wen Niu, Michal Kouril, Ryan G. Lim, Yan Ren, Julia A. Kaye, Malcolm Casale, Jie Wu, Mario Medvedovic, Jeremy L. Muhlich, Victoria Dardov, Jouzas Vasiliauskas, Kelly Haston, Caroline E. Shamu, Raymond Terryn, John F. Reichard, Michel Nederlof, David Kilburn, Leslie M. Thompson, Jia-Ren Lin, Vasileios Stathias, Zichen Wang, Behrouz Shamsaei, James E. Korkola, Pamela Milani, Berhan Mandefro, Terri G. Thompson, Laura M. Heiser, Gavin Daigle, Denis Torre, Ron Margolis, Aravind Subramanian, Elmar Bucher, Sean D. Erickson, Ernest Fraenkel, Jaslin Kalra, Mark A. LaBarge, Gordon B. Mills, Peter K. Sorger, Sean M. Gross, Leslie Derr, Mehdi Fazel
Publikováno v:
Cell Systems. 6:13-24
The Library of Integrated Network-Based Cellular Signatures (LINCS) is an NIH Common Fund program that catalogs how human cells globally respond to chemical, genetic, and disease perturbations. Resources generated by LINCS include experimental and co
Autor:
Caty Chung, Nicholas A. Clark, Michele Forlin, John Paul Turner, Christopher C. Mader, Mehdi Fazel, Sherry L. Jenkins, Amar Koleti, Naim Al Mahi, John F. Reichard, Tanya T. Kelley, Alessandro D'Urso, Kathleen M. Jagodnik, Dusica Vidovic, Mario Medvedovic, Marcin Pilarczyk, Vasileios Stathias, Behrouz Shamsaei, Lily Wang, Wen Niu, Avi Ma'ayan, Stephan C. Schürer, Daniel J. Cooper, Denis Torre, Bryce K. Allen, Raymond Terryn, Juozas Vasiliauskas, Jarek Meller, Ajay Pillai
Publikováno v:
Nucleic Acids Research
The Library of Integrated Network-based Cellular Signatures (LINCS) program is a national consortium funded by the NIH to generate a diverse and extensive reference library of cell-based perturbation-response signatures, along with novel data analyti
Autor:
Sheref S. Mansy, Sabrina Tamburini, Olivier Jousson, Michele Cornella, Laura Martini, Luca Belmonte, William E. Bentley, Michele Forlin, Jason Fontana, Roberta Lentini, Noël Yeh Martín
Publikováno v:
ACS Central Science, Vol 3, Iss 2, Pp 117-123 (2017)
ACS Central Science
ACS Central Science
Artificial cells capable of both sensing and sending chemical messages to bacteria have yet to be built. Here we show that artificial cells that are able to sense and synthesize quorum signaling molecules can chemically communicate with V. fischeri,
Autor:
Robert Suter, Vasileios Stathias, Claude-Henry Volmar, Ricardo J. Komotar, Winston M. Walters, Marie E. Maloof, Regina M. Graham, Stephan C. Schürer, Michael A. Durante, Anna Jermakowicz, Nicholas J. Lyons, Sion L. Williams, Michele Forlin, Aravind Subramanian, Todd R. Golub, Nagi G. Ayad, Claes Wahlestedt, J. William Harbour, Jann N. Sarkaria, Michael E. Ivan
Publikováno v:
Nature Communications
Nature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
Nature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
Glioblastoma (GBM) is the most common primary adult brain tumor. Despite extensive efforts, the median survival for GBM patients is approximately 14 months. GBM therapy could benefit greatly from patient-specific targeted therapies that maximize trea
Autor:
Dusica Vidovic, Cristian Bologa, Christopher Mader, Jeremy J. Yang, Stephan C. Schürer, Tudor I. Oprea, Vasileios Stathias, Lars Juhl Jensen, Stephen L. Mathias, Yu Lin, Hande Küçük-McGinty, Nooshin Nabizadeh, Saurabh Mehta, Oleg Ursu, Rajarshi Guha, Michele Forlin, Dac-Trung Nguyen, Ubbo Visser, Jianbin Duan, Amar Koleti, John Paul Turner, Caty Chung
Publikováno v:
Lin, Y, Mehta, S, Küçük-McGinty, H, Turner, J P, Vidovic, D, Forlin, M, Koleti, A, Nguyen, D-T, Jensen, L J, Guha, R, Mathias, S L, Ursu, O, Stathias, V, Duan, J, Nabizadeh, N, Chung, C, Mader, C, Visser, U, Yang, J J, Bologa, C G, Oprea, T I & Schürer, S C 2017, ' Drug target ontology to classify and integrate drug discovery data ', Journal of Biomedical Semantics, vol. 8, no. 1, 50 . https://doi.org/10.1186/s13326-017-0161-x
Journal of Biomedical Semantics
Journal of Biomedical Semantics, Vol 8, Iss 1, Pp 1-16 (2017)
Journal of Biomedical Semantics
Journal of Biomedical Semantics, Vol 8, Iss 1, Pp 1-16 (2017)
BackgroundOne of the most successful approaches to develop new small molecule therapeutics has been to start from a validated druggable protein target. However, only a small subset of potentially druggable targets has attracted significant research a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a607e862d3e37df637108b26ea053b73
https://curis.ku.dk/portal/da/publications/drug-target-ontology-to-classify-and-integrate-drug-discovery-data(c8da5b40-158d-4821-9130-1662a4ef2cb7).html
https://curis.ku.dk/portal/da/publications/drug-target-ontology-to-classify-and-integrate-drug-discovery-data(c8da5b40-158d-4821-9130-1662a4ef2cb7).html
Autor:
Raymond Terryn, Dusica Vidovic, Caty Chung, Denis Torre, Kathleen M. Jagodnik, Mario Medvedovic, Vasileios Stathias, Nagi G. Ayad, Ajay Pillai, Amar Koleti, Michele Forlin, Daniel J. Cooper, Avi Ma'ayan, Stephan C. Schürer
Publikováno v:
Scientific Data
The NIH-funded LINCS Consortium is creating an extensive reference library of cell-based perturbation response signatures and sophisticated informatics tools incorporating a large number of perturbagens, model systems, and assays. To date, more than