ReviewStructure (London, England : 1993)2012
Computational design of membrane proteins.
Review in Structure (London, England : 1993), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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
18 citing papers in PubMed.
- Supramolecular assembly of protein building blocks: from folding to function.Nano convergence · 2022Review
- Dawn of a New Era for Membrane Protein Design.Biodesign research · 2022Review
- Non-extensitivity and criticality of atomic hydropathicity around a voltage-gated sodium channel's pore: a modeling study.Journal of biological physics · 2021Article
- Membrane Protein Engineering with Rosetta.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Designing minimalist membrane proteins.Biochemical Society transactions · 2019Review
- Structural Perspective on Revealing and Altering Molecular Functions of Genetic Variants Linked with Diseases.International journal of molecular sciences · 2019Review
- Recent advances in automated protein design and its future challenges.Expert opinion on drug discovery · 2018Review
- Comparing side chain packing in soluble proteins, protein-protein interfaces, and transmembrane proteins.Proteins · 2018Article
- Computational design of membrane proteins using RosettaMembrane.Protein science : a publication of the Protein Society · 2018Article
- Outer membrane protein design.Current opinion in structural biology · 2017Review
- Membrane proteins: always an insoluble problem?Biochemical Society transactions · 2016Review
- The membrane- and soluble-protein helix-helix interactome: similar geometry via different interactions.Structure (London, England : 1993) · 2015Article
- De novo design of a transmembrane Zn²⁺-transporting four-helix bundle.Science (New York, N.Y.) · 2014Article
- Characterization of a computationally designed water-soluble human μ-opioid receptor variant using available structural information.Anesthesiology · 2014Article
- Scalable production of highly sensitive nanosensors based on graphene functionalized with a designed G protein-coupled receptor.Nano letters · 2014Article
- TanCAR: A Novel Bispecific Chimeric Antigen Receptor for Cancer Immunotherapy.Molecular therapy. Nucleic acids · 2013Article
- A computationally designed water-soluble variant of a G-protein-coupled receptor: the human mu opioid receptor.PloS one · 2013Article
- Naturally evolved G protein-coupled receptors adopt metastable conformations.Proceedings of the National Academy of Sciences of the United States of America · 2012Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Membrane proteins are involved in a wide variety of cellular processes, and are typically part of the first interaction a cell has with extracellular molecules. As a result, these proteins comprise a majority of known drug targets. Membrane proteins are among the most difficult proteins to obtain and characterize, and a structure-based understanding of their properties can be difficult to elucidate. Notwithstanding, the design of membrane proteins can provide stringent tests of our understanding of these crucial biological systems, as well as introduce novel or targeted functionalities. Computational design methods have been particularly helpful in addressing these issues, and this review discusses recent studies that tailor membrane proteins to display specific structures or functions and examines how redesigned membrane proteins are being used to facilitate structural and functional studies.
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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.