ArticleNature communications2023
Accelerating the prediction and discovery of peptide hydrogels with human-in-the-loop.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed, 104 citations in OpenAlex.
- Artificial intelligence-assisted design of self-assembling peptide hydrogels for neural regeneration: Principles and opportunities.Bioactive materials · 2027Review
- Beyond Conventional: A Review of Phytochemical-Hydrogel Systems Enhanced by AI and 3D Printing for Chronic Wound Management.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Trainable Hydrogels: Mechanistic Principles, Training Strategies, and Frontier Applications.Small (Weinheim an der Bergstrasse, Germany) · 2026Review
- Amphipathic β‑Sheet-Forming Octapeptide Self-Assembly Using the Martini Potential Family.ACS omega · 2026Article
- Backbone Hydrogen Bonding as a Determinant of Condensate Material States.Journal of the American Chemical Society · 2026Article
- Bridging stimulus-responsive and dissipative peptide assemblies to build complex interactive biomaterials.Nature reviews. Chemistry · 2026Review
- An agent-guided peptide hydrogel bio-stabilizer clamps pericellular viscoelastic drift.Nature communications · 2026Article
- Editorial for the Special Issue "Gel Formation Processes and Materials for Functional Thin Films (1st Edition)".Gels (Basel, Switzerland) · 2026Article
- Fundamentals and Advances in Programmable Peptide Hydrogels for Multifunctional Biomedical Applications: A Review.Gels (Basel, Switzerland) · 2026Review
- Smart responsive hydrogels combined with AI design for tumor therapy.Acta pharmaceutica Sinica. B · 2026Review
- Machine-Learning-Enabled Hydrogel Biosensors for Wearable Health Monitoring.Gels (Basel, Switzerland) · 2026Review
- Article
- Chirality Effect on Physical and Biological Properties of Peptide-Based Hydrogels.Gels (Basel, Switzerland) · 2026Review
- Uniform design-embedded predictions of (tetra-)peptide physicochemical properties.Bioinformatics (Oxford, England) · 2026Article
- Research Progress in Artificial Intelligence-Assisted Preparation of High-Quality Biomaterials.ACS omega · 2026Review
- Intelligent Sensing: The Emerging Integration of Machine Learning and Soft Sensors Based on Hydrogels and Ionogels.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Computational Discovery of Aggregation-Mediated Dipeptide Inhibitors Targeting PHLDA1 for Cardiovascular Therapy.ACS omega · 2025Article
- Emerging self-assembled peptide hydrogels for enhanced wound healing.Nanomedicine (London, England) · 2025Review
- Self-Assembly Pathway Influence on Dehydropeptide-Based Gel Properties and Drug Release.Macromolecular bioscience · 2025Article
- Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The amino acid sequences of peptides determine their self-assembling properties. Accurate prediction of peptidic hydrogel formation, however, remains a challenging task. This work describes an interactive approach involving the mutual information exchange between experiment and machine learning for robust prediction and design of (tetra)peptide hydrogels. We chemically synthesize more than 160 natural tetrapeptides and evaluate their hydrogel-forming ability, and then employ machine learning-experiment iterative loops to improve the accuracy of the gelation prediction. We construct a score function coupling the aggregation propensity, hydrophobicity, and gelation corrector C
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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.