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Cell based assessment tools and screening platforms are the preferred paradigm for small molecule identification and validation due to selectively identifying molecules with cellular activity and validation of compound activity against target proteins in their native environment.
Excellent outcomes notwithstanding, hESC-based screening platforms are limited by the difficulties of generating homogeneous and lineage-specific differentiated populations from hESCs while culturing them in large numbers for prolonged periods.
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Screening platforms were upgraded with robust automated technology to support miniaturized assay formats, while workflows and information handling technologies were streamlined for improved performance.
Although C. elegans has already facilitated the identification of potential novel therapeutics, the future combination of more accurate genetic models with high-throughput automated drug screening platforms is a potentially very efficient strategy for therapeutic drug discovery for NDs.
We conclude that the combination of accurate genetic ND worm models with high-throughput automated drug screening platforms is a potentially very efficient strategy for early therapeutic drug discovery for NDs.
A major feature of this tool, which differentiates it from other previously reported clinical trials participant screening platforms, is the ability to express and reason upon incomplete or ambiguous data sets, [ 34, 35] Figure 1.
There is a potential of adopting this assay as a high throughput, rapid and low cost epigenetic drug screening platform are unique aspects of the EPISSAY system.
This genetic screening platform is useful to reach a definitive diagnosis for mitochondrial diseases.
Furthermore, 94 bacterial strains for the validation of the screening platform were completely analyzed and 41 EPS producing strains were efficiently identified.
A cell-free protein synthesis-based screening platform was used to identify an initial mutant from a randomly mutated CpI library.
This generic BSSA screening platform is a versatile technology for the systematic identification of surfaces with specific biological properties, and it may for example be useful for optimizing the design of biomaterials for regulating cellular behaviour.
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