Control of repeat protein curvature by computational protein design

Shape complementarity is an important component of molecular recognition, and the ability to precisely adjust the shape of a binding scaffold to match a target of interest would greatly facilitate the creation of high affinity protein reagents and therapeutics. Here we describe a general approach to...

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Main Authors: Park, Keunwan, Shen, Betty W., Parmeggiani, Fabio, Huang, Po-Ssu, Stoddard, Barry L., Baker, David
Format: Online
Language:English
Published: 2015
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4318719/
id pubmed-4318719
recordtype oai_dc
spelling pubmed-43187192015-08-01 Control of repeat protein curvature by computational protein design Park, Keunwan Shen, Betty W. Parmeggiani, Fabio Huang, Po-Ssu Stoddard, Barry L. Baker, David Article Shape complementarity is an important component of molecular recognition, and the ability to precisely adjust the shape of a binding scaffold to match a target of interest would greatly facilitate the creation of high affinity protein reagents and therapeutics. Here we describe a general approach to control the shape of the binding surface on repeat protein scaffolds, and apply it to leucine rich repeat proteins. First, a set of self-compatible building block modules are designed that when polymerized each generate surfaces with unique but constant curvatures. Second, a set of junction modules that connect the different building blocks are designed. Finally, new proteins with custom designed shapes are generated by appropriately combining building block and junction modules. Crystal structures of the designs illustrate the power of the approach in controlling repeat protein curvature. 2015-01-12 2015-02 /pmc/articles/PMC4318719/ /pubmed/25580576 http://dx.doi.org/10.1038/nsmb.2938 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Park, Keunwan
Shen, Betty W.
Parmeggiani, Fabio
Huang, Po-Ssu
Stoddard, Barry L.
Baker, David
spellingShingle Park, Keunwan
Shen, Betty W.
Parmeggiani, Fabio
Huang, Po-Ssu
Stoddard, Barry L.
Baker, David
Control of repeat protein curvature by computational protein design
author_facet Park, Keunwan
Shen, Betty W.
Parmeggiani, Fabio
Huang, Po-Ssu
Stoddard, Barry L.
Baker, David
author_sort Park, Keunwan
title Control of repeat protein curvature by computational protein design
title_short Control of repeat protein curvature by computational protein design
title_full Control of repeat protein curvature by computational protein design
title_fullStr Control of repeat protein curvature by computational protein design
title_full_unstemmed Control of repeat protein curvature by computational protein design
title_sort control of repeat protein curvature by computational protein design
description Shape complementarity is an important component of molecular recognition, and the ability to precisely adjust the shape of a binding scaffold to match a target of interest would greatly facilitate the creation of high affinity protein reagents and therapeutics. Here we describe a general approach to control the shape of the binding surface on repeat protein scaffolds, and apply it to leucine rich repeat proteins. First, a set of self-compatible building block modules are designed that when polymerized each generate surfaces with unique but constant curvatures. Second, a set of junction modules that connect the different building blocks are designed. Finally, new proteins with custom designed shapes are generated by appropriately combining building block and junction modules. Crystal structures of the designs illustrate the power of the approach in controlling repeat protein curvature.
publishDate 2015
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4318719/
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