MyJournals Home  

RSS FeedsComputational Prediction of Amino Acids Governing Protein-Membrane Interaction for the PIP3 Cell Signaling System (Structure)

 
 

9 december 2018 12:00:06

 
Computational Prediction of Amino Acids Governing Protein-Membrane Interaction for the PIP3 Cell Signaling System (Structure)
 


Irvine et al. present a computational method for rapid evaluation of an electrostatically optimal orientation of a protein for membrane association, and the key residues involved. Prediction and characterization of how transiently membrane-bound signaling proteins interact with the cell membrane is important for understanding and controlling cellular signal transduction networks.


 
129 viewsCategory: Biochemistry
 
Druggability Simulations and X-Ray Crystallography Reveal a Ligand-Binding Site in the GluA3 AMPA Receptor N-Terminal Domain (Structure)
Structural Characterization of Biomolecules through Atomistic Simulations Guided by DEER Measurements (Structure)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Biochemistry


Copyright © 2008 - 2024 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Nachrichten