Cargando…

Identification and Analysis of Natural Building Blocks for Evolution-Guided Fragment-Based Protein Design

Natural evolution has generated an impressively diverse protein universe via duplication and recombination from a set of protein fragments that served as building blocks. The application of these concepts to the design of new proteins using subdomain-sized fragments from different folds has proven t...

Descripción completa

Detalles Bibliográficos
Autores principales: Ferruz, Noelia, Lobos, Francisco, Lemm, Dominik, Toledo-Patino, Saacnicteh, Farías-Rico, José Arcadio, Schmidt, Steffen, Höcker, Birte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322520/
https://www.ncbi.nlm.nih.gov/pubmed/32330481
http://dx.doi.org/10.1016/j.jmb.2020.04.013
_version_ 1783551658878304256
author Ferruz, Noelia
Lobos, Francisco
Lemm, Dominik
Toledo-Patino, Saacnicteh
Farías-Rico, José Arcadio
Schmidt, Steffen
Höcker, Birte
author_facet Ferruz, Noelia
Lobos, Francisco
Lemm, Dominik
Toledo-Patino, Saacnicteh
Farías-Rico, José Arcadio
Schmidt, Steffen
Höcker, Birte
author_sort Ferruz, Noelia
collection PubMed
description Natural evolution has generated an impressively diverse protein universe via duplication and recombination from a set of protein fragments that served as building blocks. The application of these concepts to the design of new proteins using subdomain-sized fragments from different folds has proven to be experimentally successful. To better understand how evolution has shaped our protein universe, we performed an all-against-all comparison of protein domains representing all naturally existing folds and identified conserved homologous protein fragments. Overall, we found more than 1000 protein fragments of various lengths among different folds through similarity network analysis. These fragments are present in very different protein environments and represent versatile building blocks for protein design. These data are available in our web server called F(old P)uzzle (fuzzle.uni-bayreuth.de), which allows to individually filter the dataset and create customized networks for folds of interest. We believe that our results serve as an invaluable resource for structural and evolutionary biologists and as raw material for the design of custom-made proteins.
format Online
Article
Text
id pubmed-7322520
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-73225202020-06-30 Identification and Analysis of Natural Building Blocks for Evolution-Guided Fragment-Based Protein Design Ferruz, Noelia Lobos, Francisco Lemm, Dominik Toledo-Patino, Saacnicteh Farías-Rico, José Arcadio Schmidt, Steffen Höcker, Birte J Mol Biol Article Natural evolution has generated an impressively diverse protein universe via duplication and recombination from a set of protein fragments that served as building blocks. The application of these concepts to the design of new proteins using subdomain-sized fragments from different folds has proven to be experimentally successful. To better understand how evolution has shaped our protein universe, we performed an all-against-all comparison of protein domains representing all naturally existing folds and identified conserved homologous protein fragments. Overall, we found more than 1000 protein fragments of various lengths among different folds through similarity network analysis. These fragments are present in very different protein environments and represent versatile building blocks for protein design. These data are available in our web server called F(old P)uzzle (fuzzle.uni-bayreuth.de), which allows to individually filter the dataset and create customized networks for folds of interest. We believe that our results serve as an invaluable resource for structural and evolutionary biologists and as raw material for the design of custom-made proteins. Elsevier 2020-06-12 /pmc/articles/PMC7322520/ /pubmed/32330481 http://dx.doi.org/10.1016/j.jmb.2020.04.013 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Ferruz, Noelia
Lobos, Francisco
Lemm, Dominik
Toledo-Patino, Saacnicteh
Farías-Rico, José Arcadio
Schmidt, Steffen
Höcker, Birte
Identification and Analysis of Natural Building Blocks for Evolution-Guided Fragment-Based Protein Design
title Identification and Analysis of Natural Building Blocks for Evolution-Guided Fragment-Based Protein Design
title_full Identification and Analysis of Natural Building Blocks for Evolution-Guided Fragment-Based Protein Design
title_fullStr Identification and Analysis of Natural Building Blocks for Evolution-Guided Fragment-Based Protein Design
title_full_unstemmed Identification and Analysis of Natural Building Blocks for Evolution-Guided Fragment-Based Protein Design
title_short Identification and Analysis of Natural Building Blocks for Evolution-Guided Fragment-Based Protein Design
title_sort identification and analysis of natural building blocks for evolution-guided fragment-based protein design
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322520/
https://www.ncbi.nlm.nih.gov/pubmed/32330481
http://dx.doi.org/10.1016/j.jmb.2020.04.013
work_keys_str_mv AT ferruznoelia identificationandanalysisofnaturalbuildingblocksforevolutionguidedfragmentbasedproteindesign
AT lobosfrancisco identificationandanalysisofnaturalbuildingblocksforevolutionguidedfragmentbasedproteindesign
AT lemmdominik identificationandanalysisofnaturalbuildingblocksforevolutionguidedfragmentbasedproteindesign
AT toledopatinosaacnicteh identificationandanalysisofnaturalbuildingblocksforevolutionguidedfragmentbasedproteindesign
AT fariasricojosearcadio identificationandanalysisofnaturalbuildingblocksforevolutionguidedfragmentbasedproteindesign
AT schmidtsteffen identificationandanalysisofnaturalbuildingblocksforevolutionguidedfragmentbasedproteindesign
AT hockerbirte identificationandanalysisofnaturalbuildingblocksforevolutionguidedfragmentbasedproteindesign