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Title: Design of structurally distinct proteins using strategies inspired by evolution

Journal Article · · Science
 [1];  [2];  [2];  [3];  [3];  [4];  [4];  [5]
  1. Univ. of North Carolina, Chapel Hill, NC (United States). Program in Bioinformatics and Computational Biology
  2. Univ. of North Carolina, Chapel Hill, NC (United States). Dept. of Biochemistry and Biophysics
  3. Univ. at Buffalo, NY (United States). Dept. of Chemistry. Northeast Structural Genomics Consortium
  4. Univ. at Buffalo, NY (United States). Dept. of Chemistry
  5. Univ. of North Carolina, Chapel Hill, NC (United States). Dept. of Biochemistry and Biophysics. Lineberger Comprehensive Cancer Center

Natural recombination combines pieces of preexisting proteins to create new tertiary structures and functions. In this paper, we describe a computational protocol, called SEWING, which is inspired by this process and builds new proteins from connected or disconnected pieces of existing structures. Helical proteins designed with SEWING contain structural features absent from other de novo designed proteins and, in some cases, remain folded at more than 100°C. High-resolution structures of the designed proteins CA01 and DA05R1 were solved by x-ray crystallography (2.2 angstrom resolution) and nuclear magnetic resonance, respectively, and there was excellent agreement with the design models. Finally, this method provides a new strategy to rapidly create large numbers of diverse and designable protein scaffolds.

Research Organization:
University of North Carolina, Chapel Hill, NC (United States); Univ. at Buffalo, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES); National Inst. of Health (NIH) (United States)
Grant/Contract Number:
W-31-109-Eng-38; R01GM073960; R01GM117968; GM094597
OSTI ID:
1253788
Journal Information:
Science, Vol. 352, Issue 6286; ISSN 0036-8075
Publisher:
AAASCopyright Statement
Country of Publication:
United States
Language:
ENGLISH
Citation Metrics:
Cited by: 94 works
Citation information provided by
Web of Science

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Cited By (18)

De novo design of potent and selective mimics of IL-2 and IL-15 journal January 2019
De novo design of potent and selective mimics of IL-2 and IL-15. text January 2019
The coming of age of de novo protein design journal September 2016
Principles for computational design of binding antibodies journal September 2017
Sibe: a computation tool to apply protein sequence statistics to predict folding and design in silico text January 2019
Journey to the center of the protein: allostery from multitemperature multiconformer X-ray crystallography journal January 2019
De novo design of covalently constrained mesosize protein scaffolds with unique tertiary structures journal September 2017
Computational design of a modular protein sense-response system journal November 2019
Rosetta FunFolDes – A general framework for the computational design of functional proteins journal November 2018
Ultrahigh specificity in a network of computationally designed protein-interaction pairs journal December 2018
WebLogo: A Sequence Logo Generator journal May 2004
Sibe: a computation tool to apply protein sequence statistics to predict folding and design in silico journal September 2019
Functional trade-offs and environmental variation shaped ancient trajectories in the evolution of dim-light vision journal October 2018
Essentials of de novo protein design: Methods and applications journal July 2018
Advances in protein structure prediction and design journal August 2019
De novo protein design by citizen scientists journal June 2019
Designing protein structures and complexes with the molecular modeling program Rosetta journal November 2019
Principles for designing proteins with cavities formed by curved β sheets journal January 2017


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