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Computational design of mixed chirality peptide macrocycles with internal symmetry

Cyclic symmetry is frequent in protein and peptide homo‐oligomers, but extremely rare within a single chain, as it is not compatible with free N‐ and C‐termini. Here we describe the computational design of mixed‐chirality peptide macrocycles with rigid structures that feature internal cyclic symmetr...

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Autores principales: Mulligan, Vikram Khipple, Kang, Christine S., Sawaya, Michael R., Rettie, Stephen, Li, Xinting, Antselovich, Inna, Craven, Timothy W., Watkins, Andrew M., Labonte, Jason W., DiMaio, Frank, Yeates, Todd O., Baker, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679966/
https://www.ncbi.nlm.nih.gov/pubmed/33058266
http://dx.doi.org/10.1002/pro.3974
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author Mulligan, Vikram Khipple
Kang, Christine S.
Sawaya, Michael R.
Rettie, Stephen
Li, Xinting
Antselovich, Inna
Craven, Timothy W.
Watkins, Andrew M.
Labonte, Jason W.
DiMaio, Frank
Yeates, Todd O.
Baker, David
author_facet Mulligan, Vikram Khipple
Kang, Christine S.
Sawaya, Michael R.
Rettie, Stephen
Li, Xinting
Antselovich, Inna
Craven, Timothy W.
Watkins, Andrew M.
Labonte, Jason W.
DiMaio, Frank
Yeates, Todd O.
Baker, David
author_sort Mulligan, Vikram Khipple
collection PubMed
description Cyclic symmetry is frequent in protein and peptide homo‐oligomers, but extremely rare within a single chain, as it is not compatible with free N‐ and C‐termini. Here we describe the computational design of mixed‐chirality peptide macrocycles with rigid structures that feature internal cyclic symmetries or improper rotational symmetries inaccessible to natural proteins. Crystal structures of three C2‐ and C3‐symmetric macrocycles, and of six diverse S2‐symmetric macrocycles, match the computationally‐designed models with backbone heavy‐atom RMSD values of 1 Å or better. Crystal structures of an S4‐symmetric macrocycle (consisting of a sequence and structure segment mirrored at each of three successive repeats) designed to bind zinc reveal a large‐scale zinc‐driven conformational change from an S4‐symmetric apo‐state to a nearly inverted S4‐symmetric holo‐state almost identical to the design model. These symmetric structures provide promising starting points for applications ranging from design of cyclic peptide based metal organic frameworks to creation of high affinity binders of symmetric protein homo‐oligomers. More generally, this work demonstrates the power of computational design for exploring symmetries and structures not found in nature, and for creating synthetic switchable systems.
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spelling pubmed-76799662020-11-27 Computational design of mixed chirality peptide macrocycles with internal symmetry Mulligan, Vikram Khipple Kang, Christine S. Sawaya, Michael R. Rettie, Stephen Li, Xinting Antselovich, Inna Craven, Timothy W. Watkins, Andrew M. Labonte, Jason W. DiMaio, Frank Yeates, Todd O. Baker, David Protein Sci Full‐Length Papers Cyclic symmetry is frequent in protein and peptide homo‐oligomers, but extremely rare within a single chain, as it is not compatible with free N‐ and C‐termini. Here we describe the computational design of mixed‐chirality peptide macrocycles with rigid structures that feature internal cyclic symmetries or improper rotational symmetries inaccessible to natural proteins. Crystal structures of three C2‐ and C3‐symmetric macrocycles, and of six diverse S2‐symmetric macrocycles, match the computationally‐designed models with backbone heavy‐atom RMSD values of 1 Å or better. Crystal structures of an S4‐symmetric macrocycle (consisting of a sequence and structure segment mirrored at each of three successive repeats) designed to bind zinc reveal a large‐scale zinc‐driven conformational change from an S4‐symmetric apo‐state to a nearly inverted S4‐symmetric holo‐state almost identical to the design model. These symmetric structures provide promising starting points for applications ranging from design of cyclic peptide based metal organic frameworks to creation of high affinity binders of symmetric protein homo‐oligomers. More generally, this work demonstrates the power of computational design for exploring symmetries and structures not found in nature, and for creating synthetic switchable systems. John Wiley & Sons, Inc. 2020-11-21 2020-12 /pmc/articles/PMC7679966/ /pubmed/33058266 http://dx.doi.org/10.1002/pro.3974 Text en © 2020 The Authors. Protein Science published by Wiley Periodicals LLC on behalf of The Protein Society. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Full‐Length Papers
Mulligan, Vikram Khipple
Kang, Christine S.
Sawaya, Michael R.
Rettie, Stephen
Li, Xinting
Antselovich, Inna
Craven, Timothy W.
Watkins, Andrew M.
Labonte, Jason W.
DiMaio, Frank
Yeates, Todd O.
Baker, David
Computational design of mixed chirality peptide macrocycles with internal symmetry
title Computational design of mixed chirality peptide macrocycles with internal symmetry
title_full Computational design of mixed chirality peptide macrocycles with internal symmetry
title_fullStr Computational design of mixed chirality peptide macrocycles with internal symmetry
title_full_unstemmed Computational design of mixed chirality peptide macrocycles with internal symmetry
title_short Computational design of mixed chirality peptide macrocycles with internal symmetry
title_sort computational design of mixed chirality peptide macrocycles with internal symmetry
topic Full‐Length Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679966/
https://www.ncbi.nlm.nih.gov/pubmed/33058266
http://dx.doi.org/10.1002/pro.3974
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