Zobrazeno 1 - 10
of 168
pro vyhledávání: '"Stephan C. Schürer"'
Autor:
Vincent T. Metzger, Daniel C. Cannon, Jeremy J. Yang, Stephen L. Mathias, Cristian G. Bologa, Anna Waller, Stephan C. Schürer, Dušica Vidović, Keith J. Kelleher, Timothy K. Sheils, Lars Juhl Jensen, Christophe G. Lambert, Tudor I. Oprea, Jeremy S. Edwards
Publikováno v:
PeerJ, Vol 12, p e17470 (2024)
TIN-X (Target Importance and Novelty eXplorer) is an interactive visualization tool for illuminating associations between diseases and potential drug targets and is publicly available at newdrugtargets.org. TIN-X uses natural language processing to i
Externí odkaz:
https://doaj.org/article/960d5f8e591045c1b0baec822e03ab67
Autor:
Giulia Diluvio, Tanya T. Kelley, Mohini Lahiry, Annamil Alvarez-Trotta, Ellen M. Kolb, Elena Shersher, Luisana Astudillo, Rhett A. Kovall, Stephan C. Schürer, Anthony J. Capobianco
Publikováno v:
Molecular Therapy: Oncolytics, Vol 28, Iss , Pp 307-320 (2023)
Notch activation complex kinase (NACK) is a component of the Notch transcriptional machinery critical for the Notch-mediated tumorigenesis. However, the mechanism through which NACK regulates Notch-mediated transcription is not well understood. Here,
Externí odkaz:
https://doaj.org/article/b1e16d1d943d4b45b5719482002cf0ad
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 5, p 2538 (2024)
Deep learning is a machine learning technique to model high-level abstractions in data by utilizing a graph composed of multiple processing layers that experience various linear and non-linear transformations. This technique has been shown to perform
Externí odkaz:
https://doaj.org/article/925ab5b1d2ef41f1891e79a342fe000a
Autor:
Marcin Pilarczyk, Mehdi Fazel-Najafabadi, Michal Kouril, Behrouz Shamsaei, Juozas Vasiliauskas, Wen Niu, Naim Mahi, Lixia Zhang, Nicholas A. Clark, Yan Ren, Shana White, Rashid Karim, Huan Xu, Jacek Biesiada, Mark F. Bennett, Sarah E. Davidson, John F. Reichard, Kurt Roberts, Vasileios Stathias, Amar Koleti, Dusica Vidovic, Daniel J. B. Clarke, Stephan C. Schürer, Avi Ma’ayan, Jarek Meller, Mario Medvedovic
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
There are only a few platforms that integrate multiple omics data types, bioinformatics tools, and interfaces for integrative analyses and visualization that do not require programming skills. Here the authors present an integrative web-based platfor
Externí odkaz:
https://doaj.org/article/08ffc15267ee4c3faac75343be39e39f
Publikováno v:
iScience, Vol 25, Iss 12, Pp 105621- (2022)
Summary: Renal cell carcinoma (RCC) is a fatal disease when advanced. While immunotherapy and tyrosine kinase inhibitor-based combinations are associated with improved survival, the majority of patients eventually succumb to the disease. Through a co
Externí odkaz:
https://doaj.org/article/b8b3798421ac4f39a905bab97dd4dcaf
Autor:
Derek J. Essegian, Tyler A. Cunningham, Christopher J. Zerio, Eli Chapman, Jonathan Schatz, Stephan C. Schürer
Publikováno v:
ACS Omega, Vol 6, Iss 38, Pp 24432-24443 (2021)
Externí odkaz:
https://doaj.org/article/7980bb329b004d37b04673cf8626bb3d
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
Publikováno v:
Cell Reports Medicine, Vol 1, Iss 7, Pp 100128- (2020)
Summary: The approval of the first kinase inhibitor, Gleevec, ushered in a paradigm shift for oncological treatment—the use of genomic data for targeted, efficacious therapies. Since then, over 48 additional small-molecule kinase inhibitors have be
Externí odkaz:
https://doaj.org/article/9611c9d86241428792ddeb70ba9b8b13
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:
Bryce K. Allen, Saurabh Mehta, Stuart W. J. Ember, Jin-Yi Zhu, Ernst Schönbrunn, Nagi G. Ayad, Stephan C. Schürer
Publikováno v:
ACS Omega, Vol 2, Iss 8, Pp 4760-4771 (2017)
Externí odkaz:
https://doaj.org/article/8df1dfe0be9542f4a9457d8f0863abea