ArticleScience (New York, N.Y.)2021
De novo design of transmembrane β barrels.
Article in Science (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.
What it found
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The trial behind it
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Who cites it
73 citing papers in PubMed.
- Deep learning based design of buried hydrogen bond networks with HBDesigner.bioRxiv : the preprint server for biology · 2026Article
- Sculpting semisynthetic conducting protein pores by de novo design.Nature structural & molecular biology · 2026Article
- Generative design of programmable asymmetric β-barrel nanopores.bioRxiv : the preprint server for biology · 2026Article
- Large-Diameter DNA-Scaffolded Nanopores Enabled by Loosely Packed Peptides for Single-Molecule Sensing.Angewandte Chemie (International ed. in English) · 2026Article
- Artificial intelligence in biologic drug discovery: A review of methodological evolution and therapeutic applications.Acta pharmaceutica Sinica. B · 2026Review
- Limitations of the refolding pipeline for de novo protein design.Protein science : a publication of the Protein Society · 2026Article
- Engineered Channel Asymmetry Extends Hydrogen-Bonding Networks for Proton Conduction.bioRxiv : the preprint server for biology · 2026Article
- Negative design enables cell-free expression and folding of designed transmembrane β-barrels.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Review
- Computational design of synthetic receptors with programmable signalling activity for enhanced cancer T cell therapy.Nature biomedical engineering · 2026Article
- Bioinformatic and computational biophysics tools for nanopore engineering: a review from standard approaches to machine learning advancements.Journal of nanobiotechnology · 2026Review
- β-barrels from short macrocyclic peptides.Chemical communications (Cambridge, England) · 2026Article
- Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026Review
- Solution NMR Spectroscopy for the Determination of Structures of Membrane Proteins in a Lipid Environment.Methods in molecular biology (Clifton, N.J.) · 2026Article
- De Novo Design of α-helical Peptide Nanopores for Single-Molecule Detection Using Helix Packing Motifs.ACS nano · 2025Article
- Designing novel solenoid proteins with in silico evolution.Communications chemistry · 2025Article
- Bottom-up design of CaNature · 2025Article
- Protein Design Meets Single-Molecule Detection: Towards Programmable Nanopore Sensors.International journal of molecular sciences · 2025Review
- Bergeyella cardium variant induces a unique cytoplasmic vacuolization cell death floatptosis in macrophage.Cell discovery · 2025Article
- Parametrically guided design of beta barrels and transmembrane nanopores using deep learning.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
13 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
19 authors.
Funding
Abstract
Transmembrane β-barrel proteins (TMBs) are of great interest for single-molecule analytical technologies because they can spontaneously fold and insert into membranes and form stable pores, but the range of pore properties that can be achieved by repurposing natural TMBs is limited. We leverage the power of de novo computational design coupled with a "hypothesis, design, and test" approach to determine TMB design principles, notably, the importance of negative design to slow β-sheet assembly. We design new eight-stranded TMBs, with no homology to known TMBs, that insert and fold reversibly into synthetic lipid membranes and have nuclear magnetic resonance and x-ray crystal structures very similar to the computational models. These advances should enable the custom design of pores for a wide range of applications.
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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.