ArticleReaction chemistry & engineering2024
A robust data analytical method to investigate sequence dependence in flow-based peptide synthesis.
Article in Reaction chemistry & engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Immobilized Activation Base for Solid-Phase Peptide Synthesis in Flow.The Journal of organic chemistry · 2026Article
- Amino acid composition drives aggregation during peptide synthesis.Nature chemistry · 2026Article
- Development of ArgTag for Scalable Solid-Phase Synthesis of Aggregating Peptides.ACS chemical biology · 2025Article
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Authors and funding
4 authors.
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Abstract
Computer-assisted methods, which hold the promise to transform synthetic organic chemistry, are often limited by experimental data lacking in quality, diversity, and quantity. In solid-phase peptide synthesis (SPPS), automated flow chemistry is well-suited to deliver such data, which is key for prediction and optimization of sequence-dependent "difficult couplings", and insights obtained in flow-SPPS can be transferred to batch-SPPS. The current data analysis techniques rely on the height and the width of fluorenylmethoxycarbonyl (Fmoc) deprotection peaks and perform well under standard conditions. Yet any deviation in parameters (
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