ArticleAdvanced healthcare materials2022
Machine-Assisted Discovery of Chondroitinase ABC Complexes toward Sustained Neural Regeneration.
Article in Advanced healthcare materials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 71 citations in OpenAlex.
- Overcoming Barriers to Axonal Regeneration in Spinal Cord Injury: Mechanistic Insights and Therapeutic Frontiers.CNS neuroscience & therapeutics · 2026Review
- AI in Clinical Decision Support Systems: Promising Applications and Strategies for Managing Data Challenges.Journal of medical Internet research · 2026Article
- Automated active learning to optimize hydrogel drug release profiles.Journal of controlled release : official journal of the Controlled Release Society · 2026Article
- Automation-Assisted Photoinduced Atom Transfer Radical Polymerization.ACS polymers Au · 2026Article
- Computational design of functional random heteropolymers through atomistic simulations.PloS one · 2026Article
- Seeking Precise Protein-like Functions from Random Heteropolymer Ensemble and through Dimensionality Reduction.ACS central science · 2025Review
- Autonomous Discovery of Functional Random Heteropolymer Blends through Evolutionary Formulation Optimization.Matter · 2025Article
- Designing single-polymer-chain nanoparticles to mimic biomolecular hydration frustration.Nature chemistry · 2025Article
- Martini 3 coarse-grained model of enzymes: Framework with validation by all-atom simulations and x-ray diffraction measurements.The Journal of chemical physics · 2025Article
- Sequence-Sensitivity in Functional Synthetic Polymer Properties.Angewandte Chemie (International ed. in English) · 2025Article
- Chondroitinase ABC in spinal cord injury: advances in delivery strategies and therapeutic synergies.Frontiers in bioengineering and biotechnology · 2025Review
- Mapping Biomaterial Complexity by Machine Learning.Tissue engineering. Part A · 2024Review
- Neural interfaces: Bridging the brain to the world beyond healthcare.Exploration (Beijing, China) · 2024Article
- Functional biomaterials for modulating the dysfunctional pathological microenvironment of spinal cord injury.Bioactive materials · 2024Review
- Aromatic and arginine content drives multiphasic condensation of protein-RNA mixtures.Biophysical journal · 2024Article
- Performance metrics to unleash the power of self-driving labs in chemistry and materials science.Nature communications · 2024Review
- Active learning of the thermodynamics-dynamics trade-off in protein condensates.Science advances · 2024Article
- Recent Advances in the Treatment of Spinal Cord Injury.The archives of bone and joint surgery · 2024Review
- Navigating the Expansive Landscapes of Soft Materials: A User Guide for High-Throughput Workflows.ACS polymers Au · 2023Review
- Sequence Patterning, Morphology, and Dispersity in Single-Chain Nanoparticles: Insights from Simulation and Machine Learning.ACS polymers Au · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
Among the many molecules that contribute to glial scarring, chondroitin sulfate proteoglycans (CSPGs) are known to be potent inhibitors of neuronal regeneration. Chondroitinase ABC (ChABC), a bacterial lyase, degrades the glycosaminoglycan (GAG) side chains of CSPGs and promotes tissue regeneration. However, ChABC is thermally unstable and loses all activity within a few hours at 37 °C under dilute conditions. To overcome this limitation, the discovery of a diverse set of tailor-made random copolymers that complex and stabilize ChABC at physiological temperature is reported. The copolymer designs, which are based on chain length and composition of the copolymers, are identified using an active machine learning paradigm, which involves iterative copolymer synthesis, testing for ChABC thermostability upon copolymer complexation, Gaussian process regression modeling, and Bayesian optimization. Copolymers are synthesized by automated PET-RAFT and thermostability of ChABC is assessed by retained enzyme activity (REA) after 24 h at 37 °C. Significant improvements in REA in three iterations of active learning are demonstrated while identifying exceptionally high-performing copolymers. Most remarkably, one designed copolymer promotes residual ChABC activity near 30%, even after one week and notably outperforms other common stabilization methods for ChABC. Together, these results highlight a promising pathway toward sustained tissue regeneration.
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What OpenQuestion holds
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.