Carboxylic-Acid Labeling of Unprotected Peptides through Fischer Esterification

In spite of the rapid growth of the field of bioconjugation, chemoselective labeling of carboxylates in polypeptides is still difficult because of synthetic challenges and safety concerns of labeling reagents. In this Letter, we present structure-reactivity relationship study of alcohols for Fischer esterification on peptide substrates for facile chemical modification of carboxylic acid groups on peptide substrates.

Authors

Institutions

Publication Details

Journal
Synlett
Published
2026-09-29
DOI
https://doi.org/10.1055/a-2969-6771
Primary Topic
Click Chemistry and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Carboxylic-Acid Labeling of Unprotected Peptides through Fischer Esterification

Jun Ohata, Seiya Ishizawa, Kathryn Rose
Synlett
Click Chemistry and Applications
article

Carboxylic-Acid Labeling of Unprotected Peptides through Fischer Esterification

Jun Ohata, Seiya Ishizawa, Kathryn Rose
article en

Abstract

In spite of the rapid growth of the field of bioconjugation, chemoselective labeling of carboxylates in polypeptides is still difficult because of synthetic challenges and safety concerns of labeling reagents. In this Letter, we present structure-reactivity relationship study of alcohols for Fischer esterification on peptide substrates for facile chemical modification of carboxylic acid groups on peptide substrates.

Synlett
North Carolina State University (US)
Openalex Percentile: Top 22%
Click Chemistry and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.