ArticleAdvanced materials (Deerfield Beach, Fla.)2022
Machine Learning on a Robotic Platform for the Design of Polymer-Protein Hybrids.
Article in Advanced materials (Deerfield Beach, Fla.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
What it found
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Who cites it
67 citing papers in PubMed.
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- A robotic approach to polymerisation kinetics: a case study on copolymerisation parameter estimation.Chemical science · 2026Article
- Machine Learning-Based Prediction of Polymer Properties Using Structure-Property Relationship Modeling.Polymers · 2026Article
- A user's guide to your first self-driving liquid handling lab.Digital discovery · 2026Article
- Identifying Polymers that Bind or Reject Proteins with Machine Learning: Handling Categorical Features within a GPR Model.ACS polymers Au · 2026Article
- AI-guided precise design of antimicrobial polymers through high-throughput screening technology on an automated platform.Bioactive materials · 2026Article
- Sequential Optimization of Multivariate Metal-Organic Framework Based Biocatalysis.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Automation-Assisted Photoinduced Atom Transfer Radical Polymerization.ACS polymers Au · 2026Article
- Beyond Traditional RAFT Polymerization: Emerging Strategies and Future Perspectives; A Third Update.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Advancing Extracellular Vesicle Research: A Review of Systems Biology and Multiomics Perspectives.Proteomics · 2026Review
- Tuning Polyacrylate Composition to Recognize and Modulate Fluorescent Proteins.Angewandte Chemie (International ed. in English) · 2026Article
- Multimerization interactions between protein-inspired single-chain random heteropolymers.PloS one · 2026Article
- Computational design of functional random heteropolymers through atomistic simulations.PloS one · 2026Article
- Theragenerative Nanomaterials: Integrating Therapy, Regeneration, and Diagnosis-Navigating the Shared Pathways Between Tissue Repair and Malignancy.International journal of nanomedicine · 2026Review
- Seeking Precise Protein-like Functions from Random Heteropolymer Ensemble and through Dimensionality Reduction.ACS central science · 2025Review
- SAXS Assistant: Automated SAXS analysis for structural discovery in biologics and polymeric nanoparticles.Biophysical journal · 2025Article
- One-Pot Encapsulation of Enzymes in a Calcium Carboxylate Metal-Organic Framework for Improved Buffer Stability.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Artificial intelligence in bioinformatics: a survey.Briefings in bioinformatics · 2025Review
7 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Polymer-protein hybrids are intriguing materials that can bolster protein stability in non-native environments, thereby enhancing their utility in diverse medicinal, commercial, and industrial applications. One stabilization strategy involves designing synthetic random copolymers with compositions attuned to the protein surface, but rational design is complicated by the vast chemical and composition space. Here, a strategy is reported to design protein-stabilizing copolymers based on active machine learning, facilitated by automated material synthesis and characterization platforms. The versatility and robustness of the approach is demonstrated by the successful identification of copolymers that preserve, or even enhance, the activity of three chemically distinct enzymes following exposure to thermal denaturing conditions. Although systematic screening results in mixed success, active learning appropriately identifies unique and effective copolymer chemistries for the stabilization of each enzyme. Overall, this work broadens the capabilities to design fit-for-purpose synthetic copolymers that promote or otherwise manipulate protein activity, with extensions toward the design of robust polymer-protein hybrid materials.
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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.