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

Ferruz, N., Lobos, F., Lemm, D., Toledo-Patino, S., Farías-Rico, J., Schmidt, S., et al. (2020). Identification and Analysis of Natural Building Blocks for Evolution-Guided Fragment-Based Protein Design. Journal of Molecular Biology, 432, 3898-3914. doi:10.1016/j.jmb.2020.04.013.

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Ferruz, N, Author
Lobos, F1, Author           
Lemm, D, Author
Toledo-Patino, S1, Author           
Farías-Rico, JA2, Author                 
Schmidt, S3, Author                 
Höcker, B1, Author                 
Affiliations:
1Research Group Protein Design, Max Planck Institute for Developmental Biology, Max Planck Society, ou_3384430              
2Department Protein Evolution, Max Planck Institute for Developmental Biology, Max Planck Society, ou_3375791              
3Department Biochemistry, Max Planck Institute for Developmental Biology, Max Planck Society, ou_3375718              

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 Abstract: 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.

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 Dates: 2020-06
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.jmb.2020.04.013
PMID: 32330481
 Degree: -

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Title: Journal of Molecular Biology
  Other : JMB
  Abbreviation : J. Mol. Biol.
Source Genre: Journal
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Publ. Info: Elsevier
Pages: - Volume / Issue: 432 Sequence Number: - Start / End Page: 3898 - 3914 Identifier: ISSN: 0022-2836
CoNE: https://pure.mpg.de/cone/journals/resource/0022-2836