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Cited by 400

The DOI matches its Crossref record; 179 of the 179 references it cites were found in a registry or an index.

A Chemical Approach to Protein Design—Template‐Assembled Synthetic Proteins (TASP)

Open access
Mutter, Manfred, Vuilleumier, Stéphane·1989·Angewandte Chemie International Edition in English

Abstract

Advances in methodology in both chemistry and molecular biology allow us to take a fresh look at protein science. Chemical synthesis of peptides and site‐directed mutagenesis are now standard research tools, paving the way for the construction of new proteins with tailor‐made structural and functional properties. The decisive hurdle on the way lies not in the synthesis of the molecules proper but rather in a better understanding of the complex folding pathways of polypeptide chains into spatially well‐defined structures. Can the chemist use his synthetic tools to bypass the notorious “folding problem?” In this article, we present a new approach developed in our laboratory, which opens a chemical route to artificial proteins with predetermined three‐dimensional structures, allowing a first step towards the synthesis of new proteins with functional properties.

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Crossref · 10.1002/anie.198905353

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Metadata

Authors
Mutter, M., & Vuilleumier, S.
Venue
Angewandte Chemie International Edition in English
Publisher
Wiley
Published
1989-05
Volume
28
Issue
5
Pages
535-554
ISSN
0570-0833 (ISSN-L)
OpenAlex
W2072628378
Cited by
400
References
179
FWCI
6.45
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A Chemical Approach to Protein Design—Template‐Assembled Synthetic Proteins (TASP). https://app.cochat.ai/papers/10.1002/anie.198905353
The paper
Mutter, M., & Vuilleumier, S. (1989). A Chemical Approach to Protein Design—Template‐Assembled Synthetic Proteins (TASP). Angewandte Chemie International Edition in English. https://doi.org/10.1002/anie.198905353

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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.