ArticleACS nano2019
Deciphering the Rules for Amino Acid Co-Assembly Based on Interlayer Distances.
Article in ACS nano, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
20 citing papers in PubMed, 35 citations in OpenAlex.
- Article
- Stereoselective Coassembly of Chiral Isomer Peptide Pairs.ACS materials Au · 2026Article
- Topology in Biological Piezoelectric Materials.Advanced materials (Deerfield Beach, Fla.) · 2025Review
- A Matter of Charge: Electrostatically Tuned Coassembly of Amphiphilic Peptides.Small (Weinheim an der Bergstrasse, Germany) · 2024Article
- Amino Acid-Derived Supramolecular Assembly and Soft Materials.Molecules (Basel, Switzerland) · 2024Review
- Review
- Assessment of the MARTINI 3 Performance for Short Peptide Self-Assembly.Journal of chemical theory and computation · 2024Article
- Molecular Engineering of Rigid Hydrogels Co-assembled from Collagenous Helical Peptides Based on a Single Triplet Motif.ACS applied materials & interfaces · 2022Article
- Co-Assembly Induced Solid-State Stacking Transformation in Amino Acid-Based Crystals with Enhanced Physical Properties.Angewandte Chemie (International ed. in English) · 2022Article
- Peptide framework for screening the effects of amino acids on assembly.Science advances · 2022Article
- Solid-state packing dictates the unexpected solubility of aromatic peptides.Cell reports. Physical science · 2021Article
- Injectable nanofibrillar hydrogels based on charge-complementary peptide co-assemblies.Biomaterials science · 2021Article
- Peptide-Protein Interactions: From Drug Design to Supramolecular Biomaterials.Molecules (Basel, Switzerland) · 2021Review
- Co-Assembly between Fmoc Diphenylalanine and Diphenylalanine within a 3D Fibrous Viscous Network Confers Atypical Curvature and Branching.Angewandte Chemie (International ed. in English) · 2020Article
- Peptide-Peptide Co-Assembly: A Design Strategy for Functional Detection of C-peptide, A Biomarker of Diabetic Neuropathy.International journal of molecular sciences · 2020Article
- Sequence-Dependent Nanofiber Structures of Phenylalanine and Isoleucine Tripeptides.International journal of molecular sciences · 2020Article
- Collagen-Inspired Helical Peptide Coassembly Forms a Rigid Hydrogel with Twisted Polyproline II Architecture.ACS nano · 2020Article
- Self-Assembly of Aromatic Amino Acid Enantiomers into Supramolecular Materials of High Rigidity.ACS nano · 2020Article
- Ultrashort Peptide Self-Assembly: Front-Runners to Transport Drug and Gene Cargos.Frontiers in bioengineering and biotechnology · 2020Review
- Subtle chemical modification for enrichment of Fmoc-amino acid at a phospholipid interface.RSC advances · 2019Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
Metabolite materials are extremely useful to obtain functional bioinspired assemblies with unique physical properties for various applications in the fields of material science, engineering, and medicine by self-assembly of the simplest biological building blocks. Supramolecular co-assembly has recently emerged as a promising extended approach to further expand the conformational space of metabolite assemblies in terms of structural and functional complexity. Yet, the design of synergistically co-assembled amino acids to produce tailor-made functional architectures is still challenging. Herein, we propose a design rule to predict the supramolecular co-assembly of naturally occurring amino acids based on their interlayer separation distances observed in single crystals. Using diverse experimental techniques, we demonstrate that amino acids with comparable interlayer separation strongly interact and co-assemble to produce structural composites distinctly different from their individual properties. However, such an interaction is hampered in a mixture of differentially layer-separated amino acids, which self-sort to generate individual characteristic structures. This study provides a different paradigm for the modular design of supramolecular assemblies based on amino acids with predictable properties.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.