A Strategy for Combinatorial Cavity Design in De Novo Proteins.

binary patterned amino acid sequences de novo four helix bundle protein design synthetic biology

Journal

Life (Basel, Switzerland)
ISSN: 2075-1729
Titre abrégé: Life (Basel)
Pays: Switzerland
ID NLM: 101580444

Informations de publication

Date de publication:
23 Jan 2020
Historique:
received: 31 12 2019
revised: 16 01 2020
accepted: 20 01 2020
entrez: 26 1 2020
pubmed: 26 1 2020
medline: 26 1 2020
Statut: epublish

Résumé

Protein sequence space is vast; nature uses only an infinitesimal fraction of possible sequences to sustain life. Are there solutions to biological problems other than those provided by nature? Can we create artificial proteins that sustain life? To investigate these questions, we have created combinatorial collections, or libraries, of novel sequences with no homology to those found in living organisms. Previously designed libraries contained numerous functional proteins. However, they often formed dynamic, rather than well-ordered structures, which complicated structural and mechanistic characterization. To address this challenge, we describe the development of new libraries based on the de novo protein S-824, a 4-helix bundle with a very stable 3-dimensional structure. Distinct from previous libraries, we targeted variability to a specific region of the protein, seeking to create potential functional sites. By characterizing variant proteins from this library, we demonstrate that the S-824 scaffold tolerates diverse amino acid substitutions in a putative cavity, including buried polar residues suitable for catalysis. We designed and created a DNA library encoding 1.7 × 10

Identifiants

pubmed: 31979320
pii: life10020009
doi: 10.3390/life10020009
pmc: PMC7175167
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : National Science Foundation
ID : MCB-1409402

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Christina Karas (C)

Department of Molecular Biology, Princeton University, Princeton, NJ 08540, USA.

Michael Hecht (M)

Department of Chemistry, Princeton University, Princeton, NJ 08540, USA.

Classifications MeSH