SPR Screening

Narayan, K A; Carroll, Steven S.

doi:10.1002/9781119099512.ch6

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…In an effort to select the most versatile assay technology, we focused on a fundamental aspect of pharmacology, the affinity of a small molecule to its biological target. Biophysical techniques such as surface plasmon resonance (SPR), [22,23] microscale thermophoresis (MST), [24,25] affinity selection-mass spectrometry (AS-MS) [26] and many others [27] have recently emerged as attractive techniques to measure affinities. Grating-coupled interferometry (GCI) is another biophysical technology enabling fast determination of binding affinities.…”

Section: Introductionmentioning

confidence: 99%

Accelerating BRPF1b hit identification with BioPhysical and Active Learning Screening (BioPALS)

Pal,

Nare,

Rao

et al. 2024

ChemMedChem

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We report the development of BioPhysical and Active Learning Screening (BioPALS); a rapid and versatile hit identification protocol combining AI‐powered virtual screening with a GCI‐driven biophysical confirmation workflow. Its application to the BRPF1b bromodomain afforded a range of novel micromolar binders with favorable ADMET parameters. In addition to the excellent in silico/in vitro confirmation rate demonstrated with BRPF1b, binding kinetics are determined, and binding topologies predicted for all hits. BioPALS is a lean, data‐rich, and standardized approach to hit identification applicable to wide range of biological targets.

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Section: Introductionmentioning

confidence: 99%

Accelerating BRPF1b hit identification with BioPhysical and Active Learning Screening (BioPALS)

Pal,

Nare,

Rao

et al. 2024

ChemMedChem

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“…All the variety of different applications of such sensors is achieved by their surface functionalization with special substances, coatings, ligands, and so on. As examples, SPR sensors are used to study proteinprotein interactions [1], for drug discovery [2], and for the detection of metal ions [3]. They can provide some additional features [4] such as the temperature control [5].…”

Section: Introductionmentioning

confidence: 99%

Plasmon Resonance Properties of Au, Cu and Ag Multi-layered Structures with P(VDF-TrFE)

Yampolskyi,

Makarenko,

Zaporoshchenko

2023

Ukr. J. Phys.

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The theoretical modeling of the optical response of layered metal-polymer structures, which can be employed as plasmonic sensors, is carried out. The calculation of their linearly polarized light reflection is performed with the use of the well-known matrix method, which describes the electromagnetic radiation propagation through a sequence of homogeneous flat-parallel media layers. In this way, the attenuated total reflection curves of the structures containing metal films (Au, Cu, or Ag) and a polymer dielectric are obtained and analyzed. A new sensor is proposed, which will utilize the ferroelectric P(VDF-TrFE) copolymer separating metal films. This might be a perspective idea for the creation of tunable plasmonic sensors. The dependencies of the angular position of a surface plasmon resonance versus the thicknesses of structure’s layers, as well as versus the refractive index of the medium contacting to the free surface of a sensor, are considered. This makes it possible to carry out the approximate search for optimal constructive parameters of a sensor, namely, the thicknesses of metal and polymer layers, and to make conclusion about its resulting sensitivity and working range. It is found that the sensors based on a single metal film and a couple of such films separated by a polymer differ 1 ... 1.3 times in the sensitivity (single metal film demonstrates a more rapid resonant angle shift with analyte refractive index variation). It is established that the employment of Au, Cu, or Ag gives no significant changes in the sensitivity of a two-metal-layer sensor with a polymer, but the widest refractive index registration range may be expected for a Cu-based sensor.

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Surface Plasmon Resonance (SPR)-Based Nanosensors for the Detection of Pathogenic Bacteria

Thawany

Tiwari

Deep

2023

Nanosensors for Point-of-Care Diagnostics of Pathogenic Bacteria

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SPR Screening

Cited by 4 publications

References 23 publications

Accelerating BRPF1b hit identification with BioPhysical and Active Learning Screening (BioPALS)

Accelerating BRPF1b hit identification with BioPhysical and Active Learning Screening (BioPALS)

Plasmon Resonance Properties of Au, Cu and Ag Multi-layered Structures with P(VDF-TrFE)

Surface Plasmon Resonance (SPR)-Based Nanosensors for the Detection of Pathogenic Bacteria

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