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Cited by 365

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Constructing Proteins by Dovetailing Unprotected Synthetic Peptides: Backbone-Engineered HIV Protease

Schnölzer, Martina, Kent, Stephen B. H.·1992·Science

Abstract

Backbone-engineered HIV-1 protease was prepared by a total chemical synthesis approach that combines the act of joining two peptides with the generation of an analog structure. Unprotected synthetic peptide segments corresponding to the two halves of the HIV-1 protease monomer polypeptide chain were joined cleanly and in high yield through unique mutually reactive functional groups, one on each segment. Ligation was performed in 6 molar guanidine hydrochloride, thus circumventing limited solubility of protected peptide segments, the principal problem of the classical approach to the chemical synthesis of proteins. The resulting fully active HIV-1 protease analog contained a thioester replacement for the natural peptide bond between Gly 51 -Gly 52 in each of the two active site flaps, a region known to be highly sensitive to mutational changes of amino acid side chains.

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Crossref · 10.1126/science.1566069

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Metadata

Authors
Schnölzer, M., & Kent, S. B. H.
Venue
Science
Published
1992-04-10
Volume
256
Issue
5054
Pages
221-225
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1969554101
Cited by
365
References
3
FWCI
6.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Constructing Proteins by Dovetailing Unprotected Synthetic Peptides: Backbone-Engineered HIV Protease. https://app.cochat.ai/papers/10.1126/science.1566069
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Schnölzer, M., & Kent, S. B. H. (1992). Constructing Proteins by Dovetailing Unprotected Synthetic Peptides: Backbone-Engineered HIV Protease. Science. https://doi.org/10.1126/science.1566069

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.