ReviewExpert review of neurotherapeutics2014
Applications of SPR for the characterization of molecules important in the pathogenesis and treatment of neurodegenerative diseases.
Review in Expert review of neurotherapeutics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
11 citing papers in PubMed, 31 citations in OpenAlex.
- Surface Plasmon Resonance for Measuring Interactions of Proteins with Lipids and Lipid Membranes.Methods in molecular biology (Clifton, N.J.) · 2026Article
- A Tutorial Review on Surface Plasmon Resonance Biosensors: Applications in Biomedicine.ACS bio & med chem Au · 2025Article
- Protein aggregation and neurodegenerative disease: Structural outlook for the novel therapeutics.Proteins · 2025Review
- A Natural Bioactive Peptide fromInternational journal of molecular sciences · 2024Article
- Model architectures for bacterial membranes.Biophysical reviews · 2022Review
- Targeting novel coronavirus SARS-CoV-2 spike protein with phytoconstituents of Momordica charantia.Journal of ovarian research · 2021Article
- A glycosylated Fc-fused glucagon-like peptide-1 receptor agonist exhibits equivalent glucose lowering to but fewer gastrointestinal side effects than dulaglutide.Diabetes, obesity & metabolism · 2020Article
- The interaction of several herbal extracts with α-synuclein: Fibril formation and surface plasmon resonance analysis.PloS one · 2019Article
- A competitive lateral flow assay for the detection of tenofovir.Analytica chimica acta · 2018Article
- Ultra-sensitive detection of protein biomarkers for diagnosis of Alzheimer's disease.Chemical science · 2017Article
- Thermo-kinetic analysis space expansion for cyclophilin-ligand interactions - identification of a new nonpeptide inhibitor using Biacore™ T200.FEBS open bio · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Characterization of binding kinetics and affinity between a potential drug and its receptor are key steps in the development of new drugs. Among the techniques available to determine binding affinities, surface plasmon resonance has emerged as the gold standard because it can measure binding and dissociation rates in real-time in a label-free fashion. Surface plasmon resonance is now finding applications in the characterization of molecules for treatment of neurodegenerative diseases, characterization of molecules associated with pathogenesis of neurodegenerative diseases and detection of neurodegenerative disease biomarkers. In addition it has been used in the characterization of a new class of natural autoantibodies that have therapeutic potential in a number of neurologic diseases. In this review we will introduce surface plasmon resonance and describe some applications of the technique that pertain to neurodegenerative disorders and their treatment.
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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.