HTRF (Homogeneous Time Resolved Fluorescence) is the most frequently used generic assay technology to measure analytes in a homogenous format, which is the ideal platform used for drug target studies in high-throughput screening (HTS). This technology combines fluorescence resonance energy transfer technology (FRET) with time-resolved measurement (TR). In TR-FRET assays, a signal is generated through fluorescent resonance energy transfer between a donor and an acceptor molecule when in close proximity to each other. Buffer and media interference is dramatically reduced by dual-wavelength detection, and the final signal is proportional to the extent of product formation. The HTRF assay is usually sensitive and robust that can be miniaturized into the 384 and 1536-well plate formats. This assay technology has been applied to many antibody-based assays including GPCR signaling (cAMP and IP-One), kinases, cytokines and biomarkers, bioprocess (antibody and protein production), as well as the assays for protein-protein, proteinpeptide, and protein-DNA/RNA interactions.Since its introduction to the drug-screening world over ten years ago, researchers have used HTRF to expedite the study of GPCRs, kinases, new biomarkers, protein-protein interactions, and other targets of interest. HTRF has also been utilized as an alternative method for bioprocess monitoring. The first-generation HTRF technology, which uses Europium cryptate as a fluorescence donor to monitor reactions between biomolecules, was extended in 2008 through the introduction of a second-generation donor, Terbium cryptate (Tb), enhancing screening performance. Terbium cryptate possesses different photophysical properties compared to Europium, including increased quantum yield and a higher molar extinction coefficient. In addition to being compatible with the same acceptor fluorophors used with Europium, it can serve as a donor fluorophore to green-emitting fluors because it has multiple emission peaks including one at 490 nm. Moreover, all Terbium HTRF assays can be read on the same HTRF-compatible instruments as Europium HTRF assays.Overall, HTRF is a highly sensitive, robust technology for the detection of molecular interactions in vitro and is widely used for primary and secondary screening phases of drug development. This review addresses the general principles of HTRF and its current applications in drug discovery.
Metamorphic testing (MT) is an effective methodology for testing those so-called "non-testable" programs (e.g., scientific programs), where it is sometimes very difficult for testers to know whether the outputs are correct. In metamorphic testing, metamorphic relations (MRs) (which specify how particular changes to the input of the program under test would change the output) play an essential role. However, testers may typically have to obtain MRs manually.In this paper, we propose a search-based approach to automatic inference of polynomial MRs for a program under test. In particular, we use a set of parameters to represent a particular class of MRs, which we refer to as polynomial MRs, and turn the problem of inferring MRs into a problem of searching for suitable values of the parameters. We then dynamically analyze multiple executions of the program, and use particle swarm optimization to solve the search problem.To improve the quality of inferred MRs, we further use MR filtering to remove some inferred MRs.We also conducted three empirical studies to evaluate our approach using four scientific libraries (including 189 scientific functions). From our empirical results, our approach is able to infer many high-quality MRs in acceptable time (i.e., from 9.87 seconds to 1231.16 seconds), which are effective in detecting faults with no false detection.
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Remote attestation provides the basis for one platform to establish trusts on another. In this paper, we consider the problem of attesting the correctness of program executions. We propose to measure the target program and all the objects it depends on, with an assumption that the Secure Kernel and the Trusted Platform Module provide a secure execution environment through process separation. The attestation of the target program begins with a program analysis on the source code or the binary code in order to find out the relevant executables and data objects. Whenever such a data object is accessed or a relevant executable is invoked due to the execution of the target program, its state is measured for attestation. Our scheme not only testifies to a program's execution, but also supports fine-granularity attestations and information flow checking.
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