Computational Modeling of Signaling Networks for Eukaryotic Chemosensing

2009 ◽  
pp. 507-526 ◽  
Author(s):  
Martin Meier-Schellersheim ◽  
Frederick Klauschen ◽  
Bastian Angermann
Keyword(s):  
Computational Modeling ◽  
Signaling Networks

scholarly journals CSIG-13. COMPUTATIONAL MODELING OF GLIOBLASTOMA STEM CELL SIGNALING NETWORKS

2018 ◽  
Vol 20 (suppl_6) ◽  
pp. vi45-vi45
Author(s):  
Emilee Holtzapple ◽  
Natasa Miskov-Zivanov ◽  
Kenneth Jahan ◽  
Yahan Zhang ◽  
Steven Young ◽  
...  
Keyword(s):  
Stem Cell ◽  
Computational Modeling ◽  
Cell Signaling ◽  
Signaling Networks ◽  
Glioblastoma Stem Cell ◽  
Cell Signaling Networks

scholarly journals Computational modeling of mammalian signaling networks

2010 ◽  
Vol 2 (2) ◽  
pp. 194-209 ◽  
Author(s):  
Jacob J. Hughey ◽  
Timothy K. Lee ◽  
Markus W. Covert
Keyword(s):  
Computational Modeling ◽  
Signaling Networks

scholarly journals Quantitative mapping of protein-peptide affinity landscapes using spectrally encoded beads

2018 ◽  
Author(s):  
Huy Nguyen ◽  
Jagoree Roy ◽  
Björn Harink ◽  
Nikhil Damle ◽  
Brian Baxter ◽  
...  
Keyword(s):  
Computational Modeling ◽  
Protein Phosphatase ◽  
Therapeutic Potential ◽  
Signaling Networks ◽  
Post Translational Modifications ◽  
Inhibitory Peptides ◽  
Quantitative Measurements ◽  
Quantitative Mapping ◽  
Linear Motifs ◽  
Peptide Affinity

AbstractTransient, regulated binding of globular protein domains to Short Linear Motifs (SLiMs) in disordered regions of other proteins drives cellular signaling. Mapping the energy landscapes of these interactions is essential for deciphering and therapeutically perturbing signaling networks, but is challenging due to their weak affinities. We present a powerful technology, MRBLE-pep, that simultaneously quantifies protein binding to a library of peptides directly synthesized on beads containing unique spectral codes. Using computational modeling and MRBLE-pep, we systematically probe binding of calcineurin (CN), a conserved protein phosphatase essential for the immune response and target of immunosuppressants, to the PxIxIT SLiM. We establish that flanking residues and post- translational modifications critically contribute to PxIxIT-CN affinity, and discover CN-inhibitory peptides with unprecedented affinity and therapeutic potential. The quantitative measurements provided by this approach will improve computational modeling efforts, elucidate a broad range of weak protein-SLiM interactions, and revolutionize our understanding of signaling networks.

Computational Modeling of Cognition and Behavior

2018 ◽  
Author(s):  
Simon Farrell ◽  
Stephan Lewandowsky
Keyword(s):  
Computational Modeling ◽  
And Behavior

Computational modeling of high pressure combustion mechanism in scram accelerator

2000 ◽  
Vol 10 (PR11) ◽  
pp. Pr11-131-Pr11-141 ◽  
Author(s):  
J.-Y. Choi ◽  
B.-J. Lee ◽  
I.-S. Jeung
Keyword(s):  
High Pressure ◽  
Computational Modeling ◽  
Combustion Mechanism

In utero exposure to mainstream cigarette smoke alters neonatal pulmonary signaling networks and postnatal lung function

Pneumologie ◽  
2013 ◽  
Vol 67 (12) ◽  
Author(s):  
S Dehmel ◽  
P Nathan ◽  
K Milger ◽  
R Prungnaud ◽  
R Imker ◽  
...  
Keyword(s):  
Lung Function ◽  
Cigarette Smoke ◽  
In Utero ◽  
Signaling Networks ◽  
In Utero Exposure ◽  
Mainstream Cigarette Smoke
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