ArticleNature chemical biology2017
Rational design of proteins that exchange on functional timescales.
Article in Nature chemical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed, 86 citations in OpenAlex.
- Surface electrostatic networks control hydrophobic core remodeling in a pH-dependent switching protein.bioRxiv : the preprint server for biology · 2026Article
- Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026Review
- Deep learning-guided design of dynamic proteins.Science (New York, N.Y.) · 2025Article
- Seesaw protein: Design of a protein that adopts interconvertible alternative functional conformations and its dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Review
- Origin of the multi-phasic quenching dynamics in the BLUF domains across the species.Nature communications · 2024Article
- Design of stimulus-responsive two-state hinge proteins.Science (New York, N.Y.) · 2023Article
- Exploiting conformational dynamics to modulate the function of designed proteins.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Rational Design of Phosphorylation-Responsive Coiled Coil-Peptide Assemblies.ACS synthetic biology · 2023Article
- Design and characterization of a protein fold switching network.Nature communications · 2023Article
- Reversible switching between two common protein folds in a designed system using only temperature.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- The road to fully programmable protein catalysis.Nature · 2022Review
- Design and discovery of metamorphic proteins.Current opinion in structural biology · 2022Review
- Rational design of hairpin RNA excited states reveals multi-step transitions.Nature communications · 2022Article
- Accurate positioning of functional residues with robotics-inspired computational protein design.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Engineering an efficient and enantioselective enzyme for the Morita-Baylis-Hillman reaction.Nature chemistry · 2022Article
- The stability and dynamics of computationally designed proteins.Protein engineering, design & selection : PEDS · 2022Review
- Switching promotor recognition of phage RNA polymerase in silico along lab-directed evolution path.Biophysical journal · 2022Article
- Design principles of protein switches.Current opinion in structural biology · 2022Review
- Step-by-step design of proteins for small molecule interaction: A review on recent milestones.Protein science : a publication of the Protein Society · 2021Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Proteins are intrinsically dynamic molecules that can exchange between multiple conformational states, enabling them to carry out complex molecular processes with extreme precision and efficiency. Attempts to design novel proteins with tailored functions have mostly failed to yield efficiencies matching those found in nature because standard methods do not allow the design of exchange between necessary conformational states on a functionally relevant timescale. Here we developed a broadly applicable computational method to engineer protein dynamics that we term meta-multistate design. We used this methodology to design spontaneous exchange between two novel conformations introduced into the global fold of Streptococcal protein G domain β1. The designed proteins, named DANCERs, for dynamic and native conformational exchangers, are stably folded and switch between predicted conformational states on the millisecond timescale. The successful introduction of defined dynamics on functional timescales opens the door to new applications requiring a protein to spontaneously access multiple conformational states.
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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.