| 1. |
- Bergbrede, T., et al.
(författare)
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An Adaptable High-Throughput Technology Enabling the Identification of Specific Transcription Modulators
- 2017
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Ingår i: Slas Discovery. - : Elsevier BV. - 2472-5552. ; 22:4, s. 378-386
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Tidskriftsartikel (refereegranskat)abstract
- Mitochondria harbor the oxidative phosphorylation (OXPHOS) system, which under aerobic conditions produces the bulk of cellular adenosine triphosphate (ATP). The mitochondrial genome encodes key components of the OXPHOS system, and it is transcribed by the mitochondrial RNA polymerase, POLRMT. The levels of mitochondrial transcription correlate with the respiratory activity of the cell. Therefore, compounds that can increase or decrease mitochondrial gene transcription may be useful for fine-tuning metabolism and could be used to treat metabolic diseases or certain forms of cancer. We here report the establishment of a novel high-throughput assay technology that has allowed us to screen a library of 430,000 diverse compounds for effects on mitochondrial transcription in vitro. Following secondary screens facilitated by the same assay principle, we identified 55 compounds that efficiently and selectively inhibit mitochondrial transcription and that are active also in cell culture. Our method is easily adaptable to other RNA or DNA polymerases and varying spectroscopic detection technologies.
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| 2. |
- David, Florian, 1981, et al.
(författare)
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A Perspective on Synthetic Biology in Drug Discovery and Development - Current Impact and Future Opportunities
- 2021
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Ingår i: SLAS Discovery. - : Elsevier BV. - 2472-5552 .- 2472-5560. ; 26:5, s. 581-603
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Forskningsöversikt (refereegranskat)abstract
- The global impact of synthetic biology has been accelerating, because of the plummeting cost of DNA synthesis, advances in genetic engineering, growing understanding of genome organization, and explosion in data science. However, much of the discipline’s application in the pharmaceutical industry remains enigmatic. In this review, we highlight recent examples of the impact of synthetic biology on target validation, assay development, hit finding, lead optimization, and chemical synthesis, through to the development of cellular therapeutics. We also highlight the availability of tools and technologies driving the discipline. Synthetic biology is certainly impacting all stages of drug discovery and development, and the recognition of the discipline’s contribution can further enhance the opportunities for the drug discovery and development value chain.
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| 3. |
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| 4. |
- Ekblad, Torun, et al.
(författare)
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Identification of Poly(ADP-Ribose) Polymerase Macrodomain Inhibitors Using an AlphaScreen Protocol
- 2018
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Ingår i: SLAS Discovery. - : Sage Publications. - 2472-5560 .- 2472-5552. ; 23:4, s. 353-362
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Tidskriftsartikel (refereegranskat)abstract
- Macrodomains recognize intracellular adenosine diphosphate (ADP)-ribosylation resulting in either removal of the modification or a protein interaction event. Research into compounds that modulate macrodomain functions could make important contributions. We investigated the interactions of all seven individual macrodomains of the human poly(ADP-ribose) polymerase (PARP) family members PARP9, PARP14, and PARP15 with five mono-ADP-ribosylated (automodified) ADP-ribosyltransferase domains using an AlphaScreen assay. Several mono-ADP-ribosylation-dependent interactions were identified, and they were found to be in the micromolar affinity range using surface plasmon resonance (SPR). We then focused on the interaction between PARP14 macrodomain-2 and the mono-ADP-ribosylated PARP10 catalytic domain, and probed a similar to 1500-compound diverse library for inhibitors of this interaction using AlphaScreen. Initial hit compounds were verified by concentration-response experiments using AlphaScreen and SPR, and they were tested against PARP14 macrodomain-2 and -3. Two initial hit compounds and one chemical analog each were further characterized using SPR and microscale thermophoresis. In conclusion, our results reveal novel macrodomain interactions and establish protocols for identification of inhibitors of such interactions.
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| 8. |
- FitzGerald, Edward, et al.
(författare)
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Multiplexed experimental strategies for fragment library screening against challenging drug targets using SPR biosensors
- 2024
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Ingår i: SLAS Discovery. - : Elsevier. - 2472-5560 .- 2472-5552. ; :1, s. 40-51
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Tidskriftsartikel (refereegranskat)abstract
- Surface plasmon resonance (SPR) biosensor methods are ideally suited for fragment-based lead discovery. However, generally applicable experimental procedures and detailed protocols are lacking, especially for structurally or physico-chemically challenging targets or when tool compounds are not available. Success depends on accounting for the features of both the target and the chemical library, purposely designing screening experiments for identification and validation of hits with desired specificity and mode-of-action, and availability of orthogonal methods capable of confirming fragment hits. The range of targets and libraries amenable to an SPR biosensor-based approach for identifying hits is considerably expanded by adopting multiplexed strategies, using multiple complementary surfaces or experimental conditions. Here we illustrate principles and multiplexed approaches for using flow-based SPR biosensor systems for screening fragment libraries of different sizes (90 and 1056 compounds) against a selection of challenging targets. It shows strategies for the identification of fragments interacting with 1) large and structurally dynamic targets, represented by acetyl choline binding protein (AChBP), a Cys-loop receptor ligand gated ion channel homologue, 2) targets in multi protein complexes, represented by lysine demethylase 1 and a corepressor (LSD1/CoREST), 3) structurally variable or unstable targets, represented by farnesyl pyrophosphate synthase (FPPS), 4) targets containing intrinsically disordered regions, represented by protein tyrosine phosphatase 1B (PTP1B), and 5) aggregation-prone proteins, represented by an engineered form of human tau (tau K18M). Practical considerations and procedures accounting for the characteristics of the proteins and libraries, and that increase robustness, sensitivity, throughput and versatility are highlighted. The study shows that the challenges for addressing these types of targets is not identification of potentially useful fragments per se, but establishing methods for their validation and evolution into leads.
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| 9. |
- Jagadeesan, Kishore, et al.
(författare)
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Filter Plate–Based Screening of MIP SPE Materials for Capture of the Biomarker Pro-Gastrin-Releasing Peptide
- 2017
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Ingår i: SLAS Discovery. - : Sage Publications. - 2472-5560 .- 2472-5552. ; 22:10, s. 1253-1261
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Tidskriftsartikel (refereegranskat)abstract
- Affinity-based solid-phase extraction (SPE) is an attractive low-cost sample preparation strategy for biomarker analysis. Molecularly imprinted polymers (MIPs) as affinity sorbents offer unique opportunities for affinity SPE, due to their low manufacturing cost and high robustness. A limitation is the prediction of their affinity; therefore, screening of analyte recovery and specificity within a large range of SPE conditions is important in order to ensure high-sensitivity detection and assay reproducibility. Here, a µ-SPE method for screening of the MIP-SPE materials using a commercial 384-well filter plate is presented. The method allows for rapid and automated screening using 10?30 µL of packed SPE sorbent per well and sample volumes in the range of 10?70 µL. This enables screening of many different SPE sorbents while simultaneously identifying optimal SPE conditions. In addition, the 384-well format also facilitates detection with a multitude of analytical platforms. Performance of the µ-MIP-SP
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| 10. |
- Kensert, Alexander, et al.
(författare)
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Transfer Learning with Deep Convolutional Neural Networks for Classifying Cellular Morphological Changes
- 2019
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Ingår i: SLAS Discovery. - : Elsevier BV. - 2472-5560 .- 2472-5552. ; 24:4, s. 466-475
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Tidskriftsartikel (refereegranskat)abstract
- The quantification and identification of cellular phenotypes from high-content microscopy images has proven to be very useful for understanding biological activity in response to different drug treatments. The traditional approach has been to use classical image analysis to quantify changes in cell morphology, which requires several nontrivial and independent analysis steps. Recently, convolutional neural networks have emerged as a compelling alternative, offering good predictive performance and the possibility to replace traditional workflows with a single network architecture. In this study, we applied the pretrained deep convolutional neural networks ResNet50, InceptionV3, and InceptionResnetV2 to predict cell mechanisms of action in response to chemical perturbations for two cell profiling datasets from the Broad Bioimage Benchmark Collection. These networks were pretrained on ImageNet, enabling much quicker model training. We obtain higher predictive accuracy than previously reported, between 95% and 97%. The ability to quickly and accurately distinguish between different cell morphologies from a scarce amount of labeled data illustrates the combined benefit of transfer learning and deep convolutional neural networks for interrogating cell-based images.
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