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Computational Design of TNF Ligand-Based Protein Therapeutics

  • Almer M. van der Sloot
  • Wim J. Quax
Conference paper
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 691)

Abstract

Members of the TNF ligand and TNF receptor family are controlling a variety of cellular processes including host defence, development, autoimmunity, inflammation, and tumor surveillance. Not surprisingly, both families are considered to be an attractive collection of therapeutic targets. Most therapeutics acting on these targets are protein-based drugs. In this review we will discuss current progress in computational design of protein-based therapeutics acting on TNF ligands or TNF receptors. In addition, we describe how this technology can also be used to design tools to study signaling in the TNF ligand/receptor family.

Keywords

Tumor Necrosis Factor Receptor Soluble Tumor Necrosis Factor Receptor Tumor Necrosis Factor Receptor Family Tumor Necrosis Factor Ligand Receptor Binding Characteristic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

This work was supported by the EU FP5 program TRISKEL (grant number QLK3-CT-2001-00498) and the EU FP6 program TRIDENT (grant number LSHC-CT-2006-037686). A.M.S. was partially funded by a Juan de la Cierva fellowship of the Spanish Ministry of Education and Science.

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© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.EMBL-CRG Systems Biology Program, Design of Biological SystemsCentre de Regulació GenòmicaBarcelonaSpain
  2. 2.Department of Pharmaceutical BiologyUniversity of GroningenGroningenThe Netherlands

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