ArticleScience (New York, N.Y.)2022
Computational design of mechanically coupled axle-rotor protein assemblies.
Article in Science (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Programming protein shape as an explicit design layer via CAD blueprint-guided diffusion.bioRxiv : the preprint server for biology · 2026Article
- Clocked stepping of an artificial protein walker along a DNA track.Nature nanotechnology · 2026Article
- Heterogeneity and multi-scale dynamics in the molecular bearing of the bacterial flagellum.Nature communications · 2026Article
- Review
- Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026Review
- Molecular Stiffening by Macrocycle Clustering.Angewandte Chemie (International ed. in English) · 2025Article
- Design of pseudosymmetric protein hetero-oligomers.Nature communications · 2024Article
- An integrative approach to protein sequence design through multiobjective optimization.PLoS computational biology · 2024Article
- A suite of designed protein cages using machine learning and protein fragment-based protocols.Structure (London, England : 1993) · 2024Article
- Modeling the Annexin A1-S100A11 heterotetramer: a molecular dynamics investigation of structure and correlated motion.Journal of biomolecular structure & dynamics · 2024Article
- An integrative approach to protein sequence design through multiobjective optimization.bioRxiv : the preprint server for biology · 2024Article
- A DNA turbine powered by a transmembrane potential across a nanopore.Nature nanotechnology · 2024Article
- Nanoturbine driven by flow across a nanopore.Nature nanotechnology · 2024Article
- Motility of an autonomous protein-based artificial motor that operates via a burnt-bridge principle.Nature communications · 2024Article
- De novo design of modular protein hydrogels with programmable intra- and extracellular viscoelasticity.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Machine learning for functional protein design.Nature biotechnology · 2024Review
- Review
- Precisely patterned nanofibres made from extendable protein multiplexes.Nature chemistry · 2023Article
- A Suite of Designed Protein Cages Using Machine Learning Algorithms and Protein Fragment-Based Protocols.bioRxiv : the preprint server for biology · 2023Article
- Sterically driven current reversal in a molecular motor model.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
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Authors and funding
20 authors.
Funding
Abstract
Natural molecular machines contain protein components that undergo motion relative to each other. Designing such mechanically constrained nanoscale protein architectures with internal degrees of freedom is an outstanding challenge for computational protein design. Here we explore the de novo construction of protein machinery from designed axle and rotor components with internal cyclic or dihedral symmetry. We find that the axle-rotor systems assemble in vitro and in vivo as designed. Using cryo-electron microscopy, we find that these systems populate conformationally variable relative orientations reflecting the symmetry of the coupled components and the computationally designed interface energy landscape. These mechanical systems with internal degrees of freedom are a step toward the design of genetically encodable nanomachines.
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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.