ReviewMolecules (Basel, Switzerland)2014
Trends in protein-based biosensor assemblies for drug screening and pharmaceutical kinetic studies.
Review in Molecules (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Confined Catalysis of Enzymes: Enhancement Strategies, Materials, and Biosensor Applications.Journal of functional biomaterials · 2026Review
- Other Techniques.Advances in biochemical engineering/biotechnology · 2026Review
- Label-Free Multimetric Measurement of Molecular Binding Kinetics by Electrical Modulation of a Flexible Nanobiolayer.ACS sensors · 2022Article
- Cheap and Sustainable Biosensor Fabrication by Enzyme Immobilization in Commercial Polyacrylic Acid/Carbon Nanotube Films.ACS omega · 2022Article
- Redox responsive activity regulation in exceptionally stable supramolecular assembly and co-assembly of a protein.Chemical science · 2020Article
- Sensing by Molecularly Imprinted Polymer: Evaluation of the Binding Properties with Different Techniques.Sensors (Basel, Switzerland) · 2019Article
- Conducting Polymers, Hydrogels and Their Composites: Preparation, Properties and Bioapplications.Polymers · 2019Review
- Special Issue: Enzyme Immobilization 2016.Molecules (Basel, Switzerland) · 2017Article
- Agarose and Its Derivatives as Supports for Enzyme Immobilization.Molecules (Basel, Switzerland) · 2016Review
- Editorial: Special issue--Enzyme immobilization.Molecules (Basel, Switzerland) · 2014Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The selection of natural and chemical compounds for potential applications in new pharmaceutical formulations constitutes a time-consuming procedure in drug screening. To overcome this issue, new devices called biosensors, have already demonstrated their versatility and capacity for routine clinical diagnosis. Designed to perform analytical analysis for the detection of a particular analyte, biosensors based on the coupling of proteins to amperometric and optical devices have shown the appropriate selectivity, sensibility and accuracy. During the last years, the exponential demand for pharmacokinetic studies in the early phases of drug development, along with the need of lower molecular weight detection, have led to new biosensor structure materials with innovative immobilization strategies. The result has been the development of smaller, more reproducible biosensors with lower detection limits, and with a drastic reduction in the required sample volumes. Therefore in order to describe the main achievements in biosensor fields, the present review has the main aim of summarizing the essential strategies used to generate these specific devices, that can provide, under physiological conditions, a credible molecule profile and assess specific pharmacokinetic parameters.
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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.