Welcome!
Our laboratory consists of interacting scientists that are interested in improving our basic understanding and manipulation of interactions between proteins.
This embraces different levels of resolution and scale: starting from the basic atom - level details of interactions; continuing to prediction and characterization of specific interactions; and finally addressing the ultimate question of their role within the context of a cell and a whole organism.
We use computational tools, including structure-based computational prediction and manipulation of specific interactions, analysis of evolutionary signals hidden in sequences, and large-scale integration of this data by machine-learning approaches.
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News!
FlexPepDock is featured in Science!!
You can view it here:
http://www.sciencemag.org/content/333/6046/1164.short
Check out our new papers:
Binding Specificity Prediction
London, Lamphear, Hougland, Fierke & Schueler-Furman (2011).
Identification of a novel class of farnesylation targets by structure-based modeling of binding specificity. PLoS Comput Biol 7:e1002170.
Al-Quadan, Price, London, Schueler-Furman & Abukwaik (2011).
Anchoring of bacterial effectors to host membranes through host-mediated lipidation by prenylation: a common paradigm. Trends Microbiol.
FlexPepDock
London, Raveh, Cohen, Fathi & Schueler-Furman (2011).
Rosetta FlexPepDock web server--high resolution modeling of peptide-protein interactions.Nucleic Acids Res 39(Web Server issue):W249-53.
Raveh, London, Zimmerman & Schueler-Furman (2011). Rosetta FlexPepDock ab-initio: Simultaneous Folding, Docking and Refinement of Peptides onto Their Receptors. PLoS One 6:e18934.
Belitsky, Avshalom, Erental, Yelin, Kumar, London, Sperber, Schueler-Furman & Engelberg-Kulka.
(2011).
The Escherichia coli extracellular death factor EDF induces the endoribonucleolytic activities of the toxins MazF and ChpBK. Mol Cell 41:625-35.