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Journal articles on the topic 'Large-Scale Screening'

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Author: Grafiati

Published: 10 December 2022

Last updated: 29 January 2023

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1

Hero, Alfred, and Bala Rajaratnam. "Large-Scale Correlation Screening." Journal of the American Statistical Association 106, no. 496 (December 2011): 1540–52. http://dx.doi.org/10.1198/jasa.2011.tm11015.

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2

Figeys, Daniel. "Large-scale screening on small scale." Trends in Biotechnology 18, no. 9 (September 2000): 363–64. http://dx.doi.org/10.1016/s0167-7799(00)01479-7.

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3

Jacq, Nicolas, Vincent Breton, Hsin-Yen Chen, Li-Yung Ho, Martin Hofmann, Vinod Kasam, Hurng-Chun Lee, et al. "Virtual screening on large scale grids." Parallel Computing 33, no. 4-5 (May 2007): 289–301. http://dx.doi.org/10.1016/j.parco.2007.02.010.

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4

Mason, Jonathan S. "Computational screening: large-scale drug discovery." Trends in Biotechnology 17 (January 1999): 34–36. http://dx.doi.org/10.1016/s0167-5699(99)01478-4.

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5

Banerjee, Trambak, Gourab Mukherjee, and Peter Radchenko. "Feature screening in large scale cluster analysis." Journal of Multivariate Analysis 161 (September 2017): 191–212. http://dx.doi.org/10.1016/j.jmva.2017.08.001.

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6

Baart de la Faille, L. M. B. "Validity of Large Scale Standardised Behavioural Screening." Acta Oto-Laryngologica 111, sup482 (January 1991): 94–102. http://dx.doi.org/10.3109/00016489109128031.

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7

Beutler, Ernest, and Terri Gelbart. "Large-Scale Screening forHFEMutations: Methodology and Cost." Genetic Testing 4, no. 2 (June 19, 2000): 131–42. http://dx.doi.org/10.1089/10906570050114830.

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8

Ekelund, G., U. Carlsson, and L. Janzon. "The feasibility of large scale population screening." British Journal of Surgery 72, S1 (September 1985): s71—s72. http://dx.doi.org/10.1002/bjs.1800721338.

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9

AZURI, JOSEPH, DEBORAH ELSTEIN, AMNON LAHAD, AYALA ABRAHAMOV, IRITH HADAS-HALPERN, and ARI ZIMRAN. "Asymptomatic Gaucher Disease Implications for Large-Scale Screening." Genetic Testing 2, no. 4 (January 1998): 297–99. http://dx.doi.org/10.1089/gte.1998.2.297.

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10

Cristea, Ioana Alina, and Florian Naudet. "Is large-scale population screening coming to psychiatry?" Lancet Digital Health 2, no. 5 (May 2020): e210-e211. http://dx.doi.org/10.1016/s2589-7500(20)30066-2.

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11

Wilmer, Christopher E., Michael Leaf, Chang Yeon Lee, Omar K. Farha, Brad G. Hauser, Joseph T. Hupp, and Randall Q. Snurr. "Large-scale screening of hypothetical metal–organic frameworks." Nature Chemistry 4, no. 2 (November 6, 2011): 83–89. http://dx.doi.org/10.1038/nchem.1192.

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12

Zhu, Xuening, Xiangyu Chang, Runze Li, and Hansheng Wang. "Portal nodes screening for large scale social networks." Journal of Econometrics 209, no. 2 (April 2019): 145–57. http://dx.doi.org/10.1016/j.jeconom.2018.12.021.

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13

Janzi, Magdalena, Jenny Ödling, Qiang Pan-Hammarström, Mårtenn Sundberg, Joakim Lundeberg, Mathias Uhlén, Lennart Hammarström, and Peter Nilsson. "Serum Microarrays for Large Scale Screening of Protein Levels." Molecular & Cellular Proteomics 4, no. 12 (August 29, 2005): 1942–47. http://dx.doi.org/10.1074/mcp.m500213-mcp200.

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14

Cuzick, J. "Routine Audit of Large-Scale Cervical Cancer Screening Programs." JNCI Journal of the National Cancer Institute 100, no. 9 (April 29, 2008): 605–6. http://dx.doi.org/10.1093/jnci/djn131.

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15

Nelson, Douglas B., Kenneth R. McQuaid, John H. Bond, David A. Lieberman, David G. Weiss, and Tiina K. Johnston. "Procedural success and complications of large-scale screening colonoscopy." Gastrointestinal Endoscopy 55, no. 3 (March 2002): 307–14. http://dx.doi.org/10.1067/mge.2002.121883.

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16

Nalven, L. "Large-Scale PCR Screening for Congenital CMV in Newborns." AAP Grand Rounds 26, no. 4 (September 30, 2011): 38. http://dx.doi.org/10.1542/gr.26-4-38.

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17

Litzlbauer, Julia, Martina Schifferer, David Ng, Arne Fabritius, Thomas Thestrup, and Oliver Griesbeck. "Large Scale Bacterial Colony Screening of Diversified FRET Biosensors." PLOS ONE 10, no. 6 (June 10, 2015): e0119860. http://dx.doi.org/10.1371/journal.pone.0119860.

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18

Buzzini, Pietro, Benedetta Turchetti, Eva Branda, Marta Goretti, Marco Amici, Paul Emile Lagneau, Licia Scaccabarozzi, Valerio Bronzo, and Paolo Moroni. "Large-scale screening of thein vitrosusceptibility ofProtothecazopfiitowards polyene antibiotics." Medical Mycology 46, no. 5 (January 2008): 511–14. http://dx.doi.org/10.1080/13693780801993611.

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19

&NA;. "PCR of Guthrie blood spots permits large scale screening." Inpharma Weekly &NA;, no. 768 (December 1990): 16–17. http://dx.doi.org/10.2165/00128413-199007680-00050.

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20

Kutchukian, Peter S., Anne Mai Wassermann, Mika K. Lindvall, S. Kirk Wright, Johannes Ottl, Jaison Jacob, Clemens Scheufler, Andreas Marzinzik, Natasja Brooijmans, and Meir Glick. "Large Scale Meta-Analysis of Fragment-Based Screening Campaigns." Journal of Biomolecular Screening 20, no. 5 (December 30, 2014): 588–96. http://dx.doi.org/10.1177/1087057114565080.

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A first step in fragment-based drug discovery (FBDD) often entails a fragment-based screen (FBS) to identify fragment “hits.” However, the integration of conflicting results from orthogonal screens remains a challenge. Here we present a meta-analysis of 35 fragment-based campaigns at Novartis, which employed a generic 1400-fragment library against diverse target families using various biophysical and biochemical techniques. By statistically interrogating the multidimensional FBS data, we sought to investigate three questions: (1) What makes a fragment amenable for FBS? (2) How do hits from different fragment screening technologies and target classes compare with each other? (3) What is the best way to pair FBS assay technologies? In doing so, we identified substructures that were privileged for specific target classes, as well as fragments that were privileged for authentic activity against many targets. We also revealed some of the discrepancies between technologies. Finally, we uncovered a simple rule of thumb in screening strategy: when choosing two technologies for a campaign, pairing a biochemical and biophysical screen tends to yield the greatest coverage of authentic hits.

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21

Abraham, V. "High content screening applied to large-scale cell biology." Trends in Biotechnology 22, no. 1 (January 2004): 15–22. http://dx.doi.org/10.1016/j.tibtech.2003.10.012.

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22

Rosell, Rafael, and Niki Karachaliou. "Large-scale screening for somatic mutations in lung cancer." Lancet 387, no. 10026 (April 2016): 1354–56. http://dx.doi.org/10.1016/s0140-6736(15)01125-3.

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23

Shlomi, D., R. Ben-Avi, G. R. Balmor, A. Onn, and N. Peled. "Screening for lung cancer: time for large-scale screening by chest computed tomography." European Respiratory Journal 44, no. 1 (February 13, 2014): 217–38. http://dx.doi.org/10.1183/09031936.00164513.

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24

Scarpino, Bajusz, Proj, Gobec, Sosič, Gobec, Ferenczy, and Keserű. "Discovery of Immunoproteasome Inhibitors Using Large-Scale Covalent Virtual Screening." Molecules 24, no. 14 (July 16, 2019): 2590. http://dx.doi.org/10.3390/molecules24142590.

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Large-scale virtual screening of boronic acid derivatives was performed to identify nonpeptidic covalent inhibitors of the β5i subunit of the immunoproteasome. A hierarchical virtual screening cascade including noncovalent and covalent docking steps was applied to a virtual library of over 104,000 compounds. Then, 32 virtual hits were selected, out of which five were experimentally confirmed. Biophysical and biochemical tests showed micromolar binding affinity and time-dependent inhibitory potency for two compounds. These results validate the computational protocol that allows the screening of large compound collections. One of the lead-like boronic acid derivatives identified as a covalent immunoproteasome inhibitor is a suitable starting point for chemical optimization.

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25

Campbell, Tessa N., and Francis Y. M. Choy. "Large-Scale Colony Screening and Insert Orientation Determination Using PCR." BioTechniques 30, no. 1 (January 2001): 32–34. http://dx.doi.org/10.2144/01301bm04.

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26

Cohen, Gal, Atalia Shtorch-Asor, Racheli Goldfarb-Yaacobi, Meirav Kaiser, Revital Rosenfeld, and Rivka Halevi-Sukenik. "Large scale population screening for Duchenne muscular dystrophy – Preliminary results." American Journal of Obstetrics and Gynecology 226, no. 1 (January 2022): S347. http://dx.doi.org/10.1016/j.ajog.2021.11.583.

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27

HABERMAN, ZACHARY C., RYAN T. JAHN, RUPAN BOSE, HAN TUN, JEROLD S. SHINBANE, RAHUL N. DOSHI, PHILIP M. CHANG, and LESLIE A. SAXON. "Wireless Smartphone ECG Enables Large-Scale Screening in Diverse Populations." Journal of Cardiovascular Electrophysiology 26, no. 5 (March 19, 2015): 520–26. http://dx.doi.org/10.1111/jce.12634.

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28

Kim, Jihan, Li-Chiang Lin, Richard L. Martin, Joseph A. Swisher, Maciej Haranczyk, and Berend Smit. "Large-Scale Computational Screening of Zeolites for Ethane/Ethene Separation." Langmuir 28, no. 32 (August 2012): 11914–19. http://dx.doi.org/10.1021/la302230z.

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29

Landini, M. P., M. X. Guan, G. Jahn, W. Lindenmaier, M. Mach, A. Ripalti, A. Necker, T. Lazzarotto, and B. Plachter. "Large-scale screening of human sera with cytomegalovirus recombinant antigens." Journal of Clinical Microbiology 28, no. 6 (1990): 1375–79. http://dx.doi.org/10.1128/jcm.28.6.1375-1379.1990.

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30

Chang, Tsung-Yao, Min Huang, Ahmet Ali Yanik, Hsin-Yu Tsai, Peng Shi, Serap Aksu, Mehmet Fatih Yanik, and Hatice Altug. "Large-scale plasmonic microarrays for label-free high-throughput screening." Lab on a Chip 11, no. 21 (2011): 3596. http://dx.doi.org/10.1039/c1lc20475k.

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31

Takeuchi, Toshio, Hidenobu Soejima, James M. Faed, and Kankatsu Yun. "Efficient Large-Scale Screening for the Hemochromatosis Susceptibility Gene Mutation." Blood 90, no. 7 (October 1, 1997): 2848. http://dx.doi.org/10.1182/blood.v90.7.2848.

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32

Takeuchi, Toshio, Hidenobu Soejima, James M. Faed, and Kankatsu Yun. "Efficient Large-Scale Screening for the Hemochromatosis Susceptibility Gene Mutation." Blood 90, no. 7 (October 1, 1997): 2848. http://dx.doi.org/10.1182/blood.v90.7.2848.2848_2848_2848.

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33

Bushell, K. M., C. Sollner, B. Schuster-Boeckler, A. Bateman, and G. J. Wright. "Large-scale screening for novel low-affinity extracellular protein interactions." Genome Research 18, no. 4 (March 17, 2008): 622–30. http://dx.doi.org/10.1101/gr.7187808.

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34

IKEGAYA, Yuji. "Large-scale Recordings for Drug Screening in Neural Circuit Systems." YAKUGAKU ZASSHI 128, no. 9 (September 1, 2008): 1251–57. http://dx.doi.org/10.1248/yakushi.128.1251.

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35

De Wit, Renate, Carolien M. J. Hendrix, Johannes Boonstra, Arie J. Verkleij, and Jan Andries Post. "Large-Scale Screening Assay to Measure Epidermal Growth Factor Internalization." Journal of Biomolecular Screening 5, no. 3 (June 2000): 133–39. http://dx.doi.org/10.1177/108705710000500305.

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Recently, we showed that the internalization of the epidermal growth factor (EGF) receptor is inhibited by hydrogen peroxide (H202) in human fibroblasts. In order to test the effect of various stress conditions on receptor internalization and to test a variety of antioxidants in their capacity to prevent or reduce the H202-induced inhibition of internalization, a screening assay was developed to measure the internalization in 96-well plates. In this assay, cells are exposed to biotin-conjugated EGF and the amount of internalized EGF is detected with horseradish peroxidase-conjugated streptavidin. We show that the results obtained by this new assay are comparable with those from internalization studies performed with radioactive labeled EGF. Therefore, the cellular internalization assay as presented here is a reliable method to measure EGF receptor internalization. Moreover, because elaborate processing of the cells is not required, the assay is a relatively fast and inexpensive method to study ligand-induced internalization in 96-well plates and thereby is suitable for large-scale screening of compounds or conditions interfering with this internalization.

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36

Chang, Kuo-Hao, Ming-Kai Li, and Hong Wan. "Combining STRONG with screening designs for large-scale simulation optimization." IIE Transactions 46, no. 4 (March 18, 2014): 357–73. http://dx.doi.org/10.1080/0740817x.2013.812268.

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37

Kim, Jihan, Mahmoud Abouelnasr, Li-Chiang Lin, and Berend Smit. "Large-Scale Screening of Zeolite Structures for CO2 Membrane Separations." Journal of the American Chemical Society 135, no. 20 (May 9, 2013): 7545–52. http://dx.doi.org/10.1021/ja400267g.

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38

Dunstan, Matthew, Wen Liu, Shyue Ping Ong, Anubhav Jain, Kristin Persson, John Dennis, Stuart Scott, and Clare Grey. "Large-Scale Computational Screening of Novel Compounds for Carbon Capture." Acta Crystallographica Section A Foundations and Advances 70, a1 (August 5, 2014): C1538. http://dx.doi.org/10.1107/s2053273314084617.

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Carbon capture and storage (CCS) applications offer a plausible solution to the urgent need for a carbon neutral energy source from stationary sources, including power plants and industrial processes. The most mature technology for post-combustion capture currently uses a liquid sorbent, amine scrubbing. However, with the existing technology, a large amount of heat is required for the regeneration of the liquid sorbent, which introduces a substantial energy penalty. Operation at higher temperatures could reduce this energy penalty by allowing the integration of waste heat back into the power cycle. New solid absorbents for use at intermediate to high temperatures, such as CaO, have shown promise in pilot plant studies, but are still far from ideal due to their poor capacity retention upon successive cycling. This presentation will describe our studies aimed at rationally selecting and designing materials for carbon capture and storage applications. We use ab initio calculations of oxide materials from the Materials Project database1 in an effort to screen for novel materials with optimal thermodynamic and kinetic properties for CO2 looping applications. From the determination of a material's optimised structure and ground state energy we have then constructed a screening routine for materials within the database based on simulating their carbonation equilibria and phase stability under differing atmospheric concentrations of CO2. A number of promising materials were identified from the screening, and we are currently investigating their properties experimentally, by using a combination of methods (including thermogravimetric analysis, in situ x-ray diffraction and microscopy). In this way we are able to assess the validity of the screening methodology, and use the insights afforded by experimental studies to iteratively improve the entire process.

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39

Sissaoui, S., H. Piloquet, A. De Luca, D. Guimber, N. Peretti, M. Coste, A. Turquet, et al. "LB007-MON PAEDIATRIC LARGE SCALE HOSPITAL MALNUTRITION SCREENING IN FRANCE." Clinical Nutrition Supplements 6, no. 1 (2011): 217–18. http://dx.doi.org/10.1016/s1744-1161(11)70562-2.

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40

Tseng, Chi-Ho, Men-Tzung Lo, Chen Lin, Hsiang-Chih Chang, Cyuan-Cin Liu, Bess Ma F. Serafico, Li-Ching Wu, Chih-Ting Lin, Tien Hsu, and Chun-Yao Huang. "Cloud-Based Artificial Intelligence System for Large-Scale Arrhythmia Screening." Computer 52, no. 11 (November 2019): 40–51. http://dx.doi.org/10.1109/mc.2019.2933195.

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41

Zech, Michael, Sylvia Boesch, Angela Jochim, Sebastian Graf, Peter Lichtner, Annette Peters, Christian Gieger, et al. "Large-scale TUBB4A mutational screening in isolated dystonia and controls." Parkinsonism & Related Disorders 21, no. 10 (October 2015): 1278–81. http://dx.doi.org/10.1016/j.parkreldis.2015.08.017.

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42

Gao, Y. F., and F. T. Chew. "Large scale screening of putative allergen genes from Acarus siro." Journal of Allergy and Clinical Immunology 111, no. 2 (February 2003): S326. http://dx.doi.org/10.1016/s0091-6749(03)81189-2.

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43

Mansour, Y., A. Y. Chang, J. Tamby, E. Vaahedi, B. R. Corns, and M. A. El-Sharkawi. "Large scale dynamic security screening and ranking using neural networks." IEEE Transactions on Power Systems 12, no. 2 (May 1997): 954–60. http://dx.doi.org/10.1109/59.589789.

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44

Ben-Shachar, Shay, Avi Orr-Urtreger, Eyal Bardugo, Ruth Shomrat, and Yuval Yaron. "Large-scale population screening for spinal muscular atrophy: Clinical implications." Genetics in Medicine 13, no. 2 (January 11, 2011): 110–14. http://dx.doi.org/10.1097/gim.0b013e3182017c05.

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45

Lin, Shawn R., Natalia Fijalkowski, Benjamin R. Lin, Felix Li, Kuldev Singh, and Robert T. Chang. "Parallel rarebits: A novel, large-scale visual field screening method." Clinical and Experimental Optometry 97, no. 6 (October 20, 2014): 528–33. http://dx.doi.org/10.1111/cxo.12221.

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46

Bougen-Zhukov, Nicola, Sheng Yang Loh, Hwee Kuan Lee, and Lit-Hsin Loo. "Large-scale image-based screening and profiling of cellular phenotypes." Cytometry Part A 91, no. 2 (July 19, 2016): 115–25. http://dx.doi.org/10.1002/cyto.a.22909.

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47

Gandhi, Prasanna, Ratnesh Bafna, Girish Arabale, Sunu Engineer, and Sanjay Phadke. "Olfactory Device for Large Scale Pre-screening for COVID-19." Transactions of the Indian National Academy of Engineering 5, no. 2 (June 2020): 237–40. http://dx.doi.org/10.1007/s41403-020-00126-6.

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48

Ching, Keith A., Michael P. Cooke, Lisa M. Tarantino, and Hilmar Lapp. "Data and animal management software for large-scale phenotype screening." Mammalian Genome 17, no. 4 (April 2006): 288–97. http://dx.doi.org/10.1007/s00335-005-0145-5.

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49

Zink, Matthias Daniel, Nikolaus Marx, Harry J. G. M. Crijns, and Ulrich Schotten. "Opportunities and challenges of large-scale screening for atrial fibrillation." Herzschrittmachertherapie + Elektrophysiologie 29, no. 1 (January 8, 2018): 57–61. http://dx.doi.org/10.1007/s00399-017-0550-y.

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50

Fang, Yaqing. "Large‐scale national screening for Coronavirus Disease 2019 in China." Journal of Medical Virology 92, no. 11 (June 29, 2020): 2266–68. http://dx.doi.org/10.1002/jmv.26173.

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