Computational Design of Peptides That Target Transmembrane Helices

by: Hang Yin, Joanna S Slusky, Bryan W Berger, Robin S Walters, Gaston Vilaire, Rustem I Litvinov, James D Lear, Gregory A Caputo, Joel S Bennett, William F Degrado

Science, Vol. 315, No. 5820. (30 March 2007), pp. 1817-1822.

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Abstract

A variety of methods exist for the design or selection of antibodies and other proteins that recognize the water-soluble regions of proteins; however, companion methods for targeting transmembrane (TM) regions are not available. Here, we describe a method for the computational design of peptides that target TM helices in a sequence-specific manner. To illustrate the method, peptides were designed that specifically recognize the TM helices of two closely related integrins (alphaIIbbeta3 and alphavbeta3) in micelles, bacterial membranes, and mammalian cells. These data show that sequence-specific recognition of helices in TM proteins can be achieved through optimization of the geometric complementarity of the target-host complex. 10.1126/science.1136782

@article{citeulike:1198950, abstract = {A variety of methods exist for the design or selection of antibodies and other proteins that recognize the water-soluble regions of proteins; however, companion methods for targeting transmembrane (TM) regions are not available. Here, we describe a method for the computational design of peptides that target TM helices in a sequence-specific manner. To illustrate the method, peptides were designed that specifically recognize the TM helices of two closely related integrins ({alpha}IIb{beta}3 and {alpha}v{beta}3) in micelles, bacterial membranes, and mammalian cells. These data show that sequence-specific recognition of helices in TM proteins can be achieved through optimization of the geometric complementarity of the target-host complex. 10.1126/science.1136782}, author = {Yin, Hang and Slusky, Joanna S. and Berger, Bryan W. and Walters, Robin S. and Vilaire, Gaston and Litvinov, Rustem I. and Lear, James D. and Caputo, Gregory A. and Bennett, Joel S. and Degrado, William F. }, citeulike-article-id = {1198950}, doi = {http://dx.doi.org/10.1126/science.1136782}, journal = {Science}, keywords = {design, peptide, transmembrane}, month = {March}, number = {5820}, pages = {1817--1822}, posted-at = {2007-03-31 04:43:12}, priority = {2}, title = {Computational Design of Peptides That Target Transmembrane Helices}, url = {http://dx.doi.org/10.1126/science.1136782}, volume = {315}, year = {2007} }

RIS record

TY - JOUR ID - citeulike:1198950 L3 - citeulike-article-id:1198950 TI - Computational Design of Peptides That Target Transmembrane Helices JF - Science VL - 315 IS - 5820 SP - 1817 EP - 1822 N2 - A variety of methods exist for the design or selection of antibodies and other proteins that recognize the water-soluble regions of proteins; however, companion methods for targeting transmembrane (TM) regions are not available. Here, we describe a method for the computational design of peptides that target TM helices in a sequence-specific manner. To illustrate the method, peptides were designed that specifically recognize the TM helices of two closely related integrins ({alpha}IIb{beta}3 and {alpha}v{beta}3) in micelles, bacterial membranes, and mammalian cells. These data show that sequence-specific recognition of helices in TM proteins can be achieved through optimization of the geometric complementarity of the target-host complex. 10.1126/science.1136782 KW - design KW - peptide KW - transmembrane AU - Yin, Hang AU - Slusky, Joanna AU - Berger, Bryan AU - Walters, Robin AU - Vilaire, Gaston AU - Litvinov, Rustem AU - Lear, James AU - Caputo, Gregory AU - Bennett, Joel AU - Degrado, William PY - 2007/03/30/ UR - http://dx.doi.org/10.1126/science.1136782 ER -

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