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The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

General method for the rapid solid-phase synthesis of large numbers of peptides: specificity of antigen-antibody interaction at the level of individual amino acids.

Open access
Houghten, R A·1985·Proceedings of the National Academy of Sciences

Abstract

A novel yet simple method is described that facilitates the synthesis of large numbers of peptides to the extent that the synthesis process need no longer be the limiting factor in many studies involving peptides. By using the methods described, 10-20 mg of 248 different 13-residue peptides representing single amino acid variants of a segment of the hemagglutinin protein (HA1) have been prepared and characterized in less than 4 weeks. Through examination of the binding of these analogs to monoclonal antibodies raised against residues 75-110 of HA1, it was found that a single amino acid, aspartic acid at position 101, is of unique importance to the interaction. Two other residues, aspartic acid-104 and alanine-106, were found to play a lesser but significant role in the binding interaction. Other single positional residue variations appear to be of little or no importance.

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Crossref · 10.1073/pnas.82.15.5131

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Metadata

Authors
Houghten, R. A.
Venue
Proceedings of the National Academy of Sciences
Published
1985-08
Volume
82
Issue
15
Pages
5131-5135
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2094954825
Cited by
1,643
References
14
FWCI
9.48
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: General method for the rapid solid-phase synthesis of large numbers of peptides: specificity of antigen-antibody interaction at the level of individual amino acids. https://app.cochat.ai/papers/10.1073/pnas.82.15.5131
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Houghten, R. A. (1985). General method for the rapid solid-phase synthesis of large numbers of peptides: specificity of antigen-antibody interaction at the level of individual amino acids. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.82.15.5131

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.