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	<title>High-throughput screening - Revision history</title>
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	<updated>2026-06-10T00:09:30Z</updated>
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		<updated>2025-11-05T03:58:52Z</updated>

		<summary type="html">&lt;p&gt;&lt;span class=&quot;autocomment&quot;&gt;growthexperiments-addlink-summary-summary:3|0|0&lt;/span&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Previous revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 03:58, 5 November 2025&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot;&gt;Line 1:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 1:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;{{Short description|Drug discovery technique}}&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;{{Short description|Drug discovery technique}}&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;[[File:Chemical Genomics Robot.jpg|thumb|300px|High-throughput screening robots]]&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;[[File:Chemical Genomics Robot.jpg|thumb|300px|High-throughput screening robots]]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&#039;&#039;&#039;High-throughput screening&#039;&#039;&#039; (&#039;&#039;&#039;HTS&#039;&#039;&#039;) is a method for scientific discovery especially used in [[drug discovery]] and relevant to the fields of [[biology]], [[materials science]]&amp;lt;ref&amp;gt;{{cite journal |last1=Zhao |first1=Yicheng |last2=Heumueller |first2=Thomas |last3=Zhang |first3=Jiyun |last4=Luo |first4=Junsheng |last5=Kasian |first5=Olga |last6=Langner |first6=Stefan |last7=Kupfer |first7=Christian |last8=Liu |first8=Bowen |last9=Zhong |first9=Yu |last10=Elia |first10=Jack |last11=Osvet |first11=Andres |last12=Wu |first12=Jianchang |last13=Liu |first13=Chao |last14=Wan |first14=Zhongquan |last15=Jia |first15=Chunyang |last16=Li |first16=Ning |last17=Hauch |first17=Jens |last18=Brabec |first18=Christoph J. |title=A bilayer conducting polymer structure for planar perovskite solar cells with over 1,400 hours operational stability at elevated temperatures |journal=Nature Energy |date=16 December 2021 |volume=7 |issue=2 |pages=144–152 |doi=10.1038/s41560-021-00953-z |bibcode=2022NatEn...7..144Z |s2cid=245285868 |language=en |issn=2058-7546}}&amp;lt;/ref&amp;gt; and [[chemistry]].&amp;lt;ref&amp;gt;Inglese J and Auld DS. (2009) Application of High Throughput Screening (HTS) Techniques: Applications in Chemical Biology in Wiley Encyclopedia of Chemical Biology (Wiley &amp;amp; Sons, Inc., Hoboken, NJ) Vol 2, pp 260–274  doi/10.1002/9780470048672.wecb223.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite journal | title = Impact of high-throughput screening in biomedical research |author1 = Macarron, R. |author2 = Banks, M.N.|author3 = Bojanic, D.| author4 = Burns, D.J.|author5 = Cirovic, D.A.|author6 = Garyantes, T.|author7 = Green, D.V.| author8 = Hertzberg, R.P. |author9 = Janzen, W.P.|author10 = Paslay, J.W.|author11 = Schopfer, U.| author12 = Sittampalam, G.S. | journal = Nat Rev Drug Discov|date = 2011 |volume = 10|issue = 3 |pages = 188–195|pmid = 21358738 | doi = 10.1038/nrd3368|s2cid = 205477370 }}&amp;lt;/ref&amp;gt; Using [[robotics]], data processing/control software, liquid handling devices, and sensitive detectors, high-throughput screening allows a researcher to quickly conduct millions of chemical, genetic, or pharmacological tests. Through this process one can quickly recognize active compounds, antibodies, or genes that modulate a particular biomolecular pathway. The results of these experiments provide starting points for drug design and for understanding the noninteraction or role of a particular location.&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&#039;&#039;&#039;High-throughput screening&#039;&#039;&#039; (&#039;&#039;&#039;HTS&#039;&#039;&#039;) is a method for scientific discovery especially used in [[drug discovery]] and relevant to the fields of [[biology]], [[materials science]]&amp;lt;ref&amp;gt;{{cite journal |last1=Zhao |first1=Yicheng |last2=Heumueller |first2=Thomas |last3=Zhang |first3=Jiyun |last4=Luo |first4=Junsheng |last5=Kasian |first5=Olga |last6=Langner |first6=Stefan |last7=Kupfer |first7=Christian |last8=Liu |first8=Bowen |last9=Zhong |first9=Yu |last10=Elia |first10=Jack |last11=Osvet |first11=Andres |last12=Wu |first12=Jianchang |last13=Liu |first13=Chao |last14=Wan |first14=Zhongquan |last15=Jia |first15=Chunyang |last16=Li |first16=Ning |last17=Hauch |first17=Jens |last18=Brabec |first18=Christoph J. |title=A bilayer conducting polymer structure for planar perovskite solar cells with over 1,400 hours operational stability at elevated temperatures |journal=Nature Energy |date=16 December 2021 |volume=7 |issue=2 |pages=144–152 |doi=10.1038/s41560-021-00953-z |bibcode=2022NatEn...7..144Z |s2cid=245285868 |language=en |issn=2058-7546}}&amp;lt;/ref&amp;gt; and [[chemistry]].&amp;lt;ref&amp;gt;Inglese J and Auld DS. (2009) Application of High Throughput Screening (HTS) Techniques: Applications in Chemical Biology in Wiley Encyclopedia of Chemical Biology (Wiley &amp;amp; Sons, Inc., Hoboken, NJ) Vol 2, pp 260–274  doi/10.1002/9780470048672.wecb223.&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite journal | title = Impact of high-throughput screening in biomedical research |author1 = Macarron, R. |author2 = Banks, M.N.|author3 = Bojanic, D.| author4 = Burns, D.J.|author5 = Cirovic, D.A.|author6 = Garyantes, T.|author7 = Green, D.V.| author8 = Hertzberg, R.P. |author9 = Janzen, W.P.|author10 = Paslay, J.W.|author11 = Schopfer, U.| author12 = Sittampalam, G.S. | journal = Nat Rev Drug Discov|date = 2011 |volume = 10|issue = 3 |pages = 188–195|pmid = 21358738 | doi = 10.1038/nrd3368|s2cid = 205477370 }}&amp;lt;/ref&amp;gt; Using [[robotics]], data processing/control software, liquid handling devices, and sensitive detectors, high-throughput screening allows a researcher to quickly conduct millions of chemical, genetic, or pharmacological tests. Through this process one can quickly recognize active compounds, antibodies, or genes that modulate a particular biomolecular pathway. The results of these experiments provide starting points for &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;[[&lt;/ins&gt;drug design&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;]] &lt;/ins&gt;and for understanding the noninteraction or role of a particular location.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Assay plate preparation==&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Assay plate preparation==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l16&quot;&gt;Line 16:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 16:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Automation systems==&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Automation systems==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;[[File:Assay plate carousel.jpg|thumb|A carousel system to store assay plates for high storage capacity and high speed access]]&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;[[File:Assay plate carousel.jpg|thumb|A carousel system to store assay plates for high storage capacity and high speed access]]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;[[Automation]] is an essential element in HTS&#039;s usefulness. Typically, an integrated [[robot]] system consisting of one or more robots transports assay-microplates from station to station for sample and reagent addition, mixing, incubation, and finally readout or detection. An HTS system can usually prepare, incubate, and analyze many plates simultaneously, further speeding the data-collection process. HTS robots that can test up to 100,000 compounds per day currently exist.&amp;lt;ref name=&quot;pmid15183323&quot;&amp;gt;{{cite journal |vauthors=Hann MM, Oprea TI |title=Pursuing the leadlikeness concept in pharmaceutical research |journal=Curr Opin Chem Biol |volume=8 |issue=3 |pages=255–63 |date=June 2004 |pmid=15183323 |doi=10.1016/j.cbpa.2004.04.003 |url=https://zenodo.org/record/896094}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&quot;caraus974&quot;&amp;gt;{{Cite journal|last1=Caraus|first1=I.|last2=Alsuwailem|first2=A. A.|last3=Nadon|first3=R.|last4=Makarenkov|first4=V.|date=2015-11-01|title=Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutions|url=https://academic.oup.com/bib/article/16/6/974/225604/Detecting-and-overcoming-systematic-bias-in-high|journal=Briefings in Bioinformatics|language=en|volume=16|issue=6|pages=974–986|doi=10.1093/bib/bbv004|pmid=25750417|issn=1467-5463|doi-access=free}}&amp;lt;/ref&amp;gt; [[Colony Picker|Automatic colony pickers]] pick thousands of microbial colonies for high throughput genetic screening.&amp;lt;ref name=&quot;HeddleMazaleyrat2007&quot;&amp;gt;{{cite journal|last1=Heddle|first1=C.|last2=Mazaleyrat|first2=S. L.|title=Development of a screening platform for directed evolution using the reef coral fluorescent protein ZsGreen as a solubility reporter|journal=Protein Engineering Design and Selection|volume=20|issue=7|year=2007|pages=327–337|issn=1741-0126|doi=10.1093/protein/gzm024|pmid=17584755|doi-access=free}}&amp;lt;/ref&amp;gt; The term uHTS or &#039;&#039;ultra-high-throughput screening&#039;&#039; refers (circa 2008) to screening in excess of 100,000 compounds per day.&amp;lt;ref name=&quot;MichaelAuld2008&quot;&amp;gt;{{cite journal|last1=Michael|first1=Sam|last2=Auld|first2=Douglas|last3=Klumpp|first3=Carleen|last4=Jadhav|first4=Ajit|last5=Zheng|first5=Wei|last6=Thorne|first6=Natasha|last7=Austin|first7=Christopher P.|last8=Inglese|first8=James|last9=Simeonov|first9=Anton|title=A Robotic Platform for Quantitative High-Throughput Screening|journal=ASSAY and Drug Development Technologies|volume=6|issue=5|year=2008|pages=637–657|issn=1540-658X|doi=10.1089/adt.2008.150|pmid=19035846|pmc=2651822}}&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;[[Automation]] is an essential element in HTS&#039;s usefulness. Typically, an integrated [[robot]] system consisting of one or more robots transports assay-microplates from station to station for sample and &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;[[&lt;/ins&gt;reagent&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;]] &lt;/ins&gt;addition, mixing, incubation, and finally readout or detection. An HTS system can usually prepare, incubate, and analyze many plates simultaneously, further speeding the data-collection process. HTS robots that can test up to 100,000 compounds per day currently exist.&amp;lt;ref name=&quot;pmid15183323&quot;&amp;gt;{{cite journal |vauthors=Hann MM, Oprea TI |title=Pursuing the leadlikeness concept in pharmaceutical research |journal=Curr Opin Chem Biol |volume=8 |issue=3 |pages=255–63 |date=June 2004 |pmid=15183323 |doi=10.1016/j.cbpa.2004.04.003 |url=https://zenodo.org/record/896094}}&amp;lt;/ref&amp;gt;&amp;lt;ref name=&quot;caraus974&quot;&amp;gt;{{Cite journal|last1=Caraus|first1=I.|last2=Alsuwailem|first2=A. A.|last3=Nadon|first3=R.|last4=Makarenkov|first4=V.|date=2015-11-01|title=Detecting and overcoming systematic bias in high-throughput screening technologies: a comprehensive review of practical issues and methodological solutions|url=https://academic.oup.com/bib/article/16/6/974/225604/Detecting-and-overcoming-systematic-bias-in-high|journal=Briefings in Bioinformatics|language=en|volume=16|issue=6|pages=974–986|doi=10.1093/bib/bbv004|pmid=25750417|issn=1467-5463|doi-access=free}}&amp;lt;/ref&amp;gt; [[Colony Picker|Automatic colony pickers]] pick thousands of microbial colonies for high throughput genetic screening.&amp;lt;ref name=&quot;HeddleMazaleyrat2007&quot;&amp;gt;{{cite journal|last1=Heddle|first1=C.|last2=Mazaleyrat|first2=S. L.|title=Development of a screening platform for directed evolution using the reef coral fluorescent protein ZsGreen as a solubility reporter|journal=Protein Engineering Design and Selection|volume=20|issue=7|year=2007|pages=327–337|issn=1741-0126|doi=10.1093/protein/gzm024|pmid=17584755|doi-access=free}}&amp;lt;/ref&amp;gt; The term uHTS or &#039;&#039;ultra-high-throughput screening&#039;&#039; refers (circa 2008) to screening in excess of 100,000 compounds per day.&amp;lt;ref name=&quot;MichaelAuld2008&quot;&amp;gt;{{cite journal|last1=Michael|first1=Sam|last2=Auld|first2=Douglas|last3=Klumpp|first3=Carleen|last4=Jadhav|first4=Ajit|last5=Zheng|first5=Wei|last6=Thorne|first6=Natasha|last7=Austin|first7=Christopher P.|last8=Inglese|first8=James|last9=Simeonov|first9=Anton|title=A Robotic Platform for Quantitative High-Throughput Screening|journal=ASSAY and Drug Development Technologies|volume=6|issue=5|year=2008|pages=637–657|issn=1540-658X|doi=10.1089/adt.2008.150|pmid=19035846|pmc=2651822}}&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Experimental design and data analysis ==&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;== Experimental design and data analysis ==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l37&quot;&gt;Line 37:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 37:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;=== Quality control ===&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;=== Quality control ===&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;High-quality HTS assays are critical in HTS experiments. The development of high-quality HTS assays requires the integration of both experimental and computational approaches for quality control (QC). Three important means of QC are (i) good plate design, (ii) the selection of effective positive and negative chemical/biological controls, and (iii) the development of effective QC metrics to measure the degree of differentiation so that assays with inferior data quality can be identified.&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;High-quality HTS assays are critical in HTS experiments. The development of high-quality HTS assays requires the integration of both experimental and computational approaches for quality control (QC). Three important means of QC are (i) good plate design, (ii) the selection of effective positive and negative chemical/biological controls, and (iii) the development of effective QC metrics to measure the degree of differentiation so that assays with inferior &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;[[&lt;/ins&gt;data quality&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;]] &lt;/ins&gt;can be identified.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;ref name=ZhangetalJBS2008&amp;gt;{{cite journal |vauthors=Zhang XH, Espeseth AS, Johnson EN, Chin J, Gates A, Mitnaul LJ, Marine SD, Tian J, Stec EM, Kunapuli P, Holder DJ, Heyse JF, Strulocivi B, Ferrer M |title=Integrating experimental and analytic approaches to improve data quality in genome-scale RNAi screens&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;lt;ref name=ZhangetalJBS2008&amp;gt;{{cite journal |vauthors=Zhang XH, Espeseth AS, Johnson EN, Chin J, Gates A, Mitnaul LJ, Marine SD, Tian J, Stec EM, Kunapuli P, Holder DJ, Heyse JF, Strulocivi B, Ferrer M |title=Integrating experimental and analytic approaches to improve data quality in genome-scale RNAi screens&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|journal=Journal of Biomolecular Screening  |volume=13 |issue= 5|pages=378–89&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;|journal=Journal of Biomolecular Screening  |volume=13 |issue= 5|pages=378–89&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l107&quot;&gt;Line 107:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 107:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;In 2013, researchers have disclosed an approach with small molecules from plants. In general, it is essential to provide high-quality proof-of-concept validations early in the drug discovery process. Here technologies that enable the identification of potent, selective, and bioavailable chemical probes are of crucial interest, even if the resulting compounds require further optimization for development into a pharmaceutical product. Nuclear receptor RORα, a protein that has been targeted for more than a decade to identify potent and bioavailable agonists, was used as an example of a very challenging drug target. Hits are confirmed at the screening step due to the bell-shaped curve. This method is very similar to the quantitative HTS method (screening and hit confirmation at the same time), except that using this approach greatly decreases the data point number and can screen easily more than 100.000 biological relevant compounds.&amp;lt;ref&amp;gt;Helleboid S, Haug C, Lamottke K, et al. The Identification of Naturally Occurring Neoruscogenin as a Bioavailable, Potent, and High-Affinity Agonist of the Nuclear Receptor RORα (NR1F1). Journal of Biomolecular Screening. 2014;19(3):399-406. https://doi.org/10.1177/1087057113497095.&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;In 2013, researchers have disclosed an approach with small molecules from plants. In general, it is essential to provide high-quality proof-of-concept validations early in the drug discovery process. Here technologies that enable the identification of potent, selective, and bioavailable chemical probes are of crucial interest, even if the resulting compounds require further optimization for development into a pharmaceutical product. Nuclear receptor RORα, a protein that has been targeted for more than a decade to identify potent and bioavailable agonists, was used as an example of a very challenging drug target. Hits are confirmed at the screening step due to the bell-shaped curve. This method is very similar to the quantitative HTS method (screening and hit confirmation at the same time), except that using this approach greatly decreases the data point number and can screen easily more than 100.000 biological relevant compounds.&amp;lt;ref&amp;gt;Helleboid S, Haug C, Lamottke K, et al. The Identification of Naturally Occurring Neoruscogenin as a Bioavailable, Potent, and High-Affinity Agonist of the Nuclear Receptor RORα (NR1F1). Journal of Biomolecular Screening. 2014;19(3):399-406. https://doi.org/10.1177/1087057113497095.&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Switching from an orbital shaker, which required milling times of 24 hours and at least 10 mg of drug compound to a ResonantAcoustic mixer, Merck reported reduced processing time to less than 2 hours on only 1-2 mg of drug compound per well. Merck also indicated the acoustic milling approach allows for the preparation of high dose nanosuspension formulations that could not be obtained using conventional milling equipment.&amp;lt;ref name=&quot;a501&quot;&amp;gt;{{cite journal | &lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;last&lt;/del&gt;=Leung | &lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;first&lt;/del&gt;=Dennis H. | last2=Lamberto | first2=David J. | last3=Liu | first3=Lina | last4=Kwong | first4=Elizabeth | last5=Nelson | first5=Todd | last6=Rhodes | first6=Timothy | last7=Bak | first7=Annette | title=A new and improved method for the preparation of drug nanosuspension formulations using acoustic mixing technology | journal=International Journal of Pharmaceutics | publisher=Elsevier BV | volume=473 | issue=&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;1-2 &lt;/del&gt;| year=2014 | doi=10.1016/j.ijpharm.2014.05.003 | pages=10–19}}&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Switching from an orbital shaker, which required milling times of 24 hours and at least 10 mg of drug compound to a ResonantAcoustic mixer, Merck reported reduced processing time to less than 2 hours on only 1-2 mg of drug compound per well. Merck also indicated the acoustic milling approach allows for the preparation of high dose nanosuspension formulations that could not be obtained using conventional milling equipment.&amp;lt;ref name=&quot;a501&quot;&amp;gt;{{cite journal | &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;last1&lt;/ins&gt;=Leung | &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;first1&lt;/ins&gt;=Dennis H. | last2=Lamberto | first2=David J. | last3=Liu | first3=Lina | last4=Kwong | first4=Elizabeth | last5=Nelson | first5=Todd | last6=Rhodes | first6=Timothy | last7=Bak | first7=Annette | title=A new and improved method for the preparation of drug nanosuspension formulations using acoustic mixing technology | journal=International Journal of Pharmaceutics | publisher=Elsevier BV | volume=473 | issue=&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;1–2 &lt;/ins&gt;| year=2014 | doi=10.1016/j.ijpharm.2014.05.003 | pages=10–19 &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;| pmid=24984068 &lt;/ins&gt;}}&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Whereby traditional HTS drug discovery uses purified proteins or intact cells, recent development of the technology is associated with the use of intact living organisms, like the nematode &amp;#039;&amp;#039;[[Caenorhabditis elegans]]&amp;#039;&amp;#039; and zebrafish ([[Zebrafish|&amp;#039;&amp;#039;Danio rerio&amp;#039;&amp;#039;]]).&amp;lt;ref&amp;gt;{{cite journal |vauthors=Atanasov AG, Waltenberger B, Pferschy-Wenzig EM, Linder T, Wawrosch C, Uhrin P, Temml V, Wang L, Schwaiger S, Heiss EH, Rollinger JM, Schuster D, Breuss JM, Bochkov V, Mihovilovic MD, Kopp B, Bauer R, Dirsch VM, Stuppner H | year = 2015 | title = Discovery and resupply of pharmacologically active plant-derived natural products: A review | doi = 10.1016/j.biotechadv.2015.08.001 | journal = Biotechnol. Adv. | volume = 33| issue = 8| pages = 1582–614| pmid = 26281720 | pmc=4748402}}&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Whereby traditional HTS drug discovery uses purified proteins or intact cells, recent development of the technology is associated with the use of intact living organisms, like the nematode &amp;#039;&amp;#039;[[Caenorhabditis elegans]]&amp;#039;&amp;#039; and zebrafish ([[Zebrafish|&amp;#039;&amp;#039;Danio rerio&amp;#039;&amp;#039;]]).&amp;lt;ref&amp;gt;{{cite journal |vauthors=Atanasov AG, Waltenberger B, Pferschy-Wenzig EM, Linder T, Wawrosch C, Uhrin P, Temml V, Wang L, Schwaiger S, Heiss EH, Rollinger JM, Schuster D, Breuss JM, Bochkov V, Mihovilovic MD, Kopp B, Bauer R, Dirsch VM, Stuppner H | year = 2015 | title = Discovery and resupply of pharmacologically active plant-derived natural products: A review | doi = 10.1016/j.biotechadv.2015.08.001 | journal = Biotechnol. Adv. | volume = 33| issue = 8| pages = 1582–614| pmid = 26281720 | pmc=4748402}}&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l154&quot;&gt;Line 154:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 154:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==External links==&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==External links==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;http&lt;/del&gt;://sen.sourceforge.net/ Open Screening Environment]&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;https&lt;/ins&gt;://sen.sourceforge.net/ Open Screening Environment]&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [https://web.archive.org/web/20101214123953/http://labmanager.com/articles.asp?ID=481 Setting up High-Throughput Screening Laboratory] (Koppal, Lab Manager Magazine)&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [https://web.archive.org/web/20101214123953/http://labmanager.com/articles.asp?ID=481 Setting up High-Throughput Screening Laboratory] (Koppal, Lab Manager Magazine)&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [https://wayback.archive-it.org/all/20121010200014/http://spotlite.nih.gov/assay/index.php/Table_of_Contents Assay Guidance Manual]  (NIH, NCGC)&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* [https://wayback.archive-it.org/all/20121010200014/http://spotlite.nih.gov/assay/index.php/Table_of_Contents Assay Guidance Manual]  (NIH, NCGC)&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>imported&gt;VineWeaver</name></author>
	</entry>
	<entry>
		<id>http://debianws.lexgopc.com/wiki143/index.php?title=High-throughput_screening&amp;diff=528242&amp;oldid=prev</id>
		<title>98.127.152.74: /* Recent advances */ added an advancement with a reduction in time from 24 hours to less than 2 and allows for higher drug loadings previously not possible and citation.</title>
		<link rel="alternate" type="text/html" href="http://debianws.lexgopc.com/wiki143/index.php?title=High-throughput_screening&amp;diff=528242&amp;oldid=prev"/>
		<updated>2024-11-13T18:49:08Z</updated>

		<summary type="html">&lt;p&gt;&lt;span class=&quot;autocomment&quot;&gt;Recent advances: &lt;/span&gt; added an advancement with a reduction in time from 24 hours to less than 2 and allows for higher drug loadings previously not possible and citation.&lt;/p&gt;
&lt;a href=&quot;http://debianws.lexgopc.com/wiki143/index.php?title=High-throughput_screening&amp;amp;diff=528242&quot;&gt;Show changes&lt;/a&gt;</summary>
		<author><name>98.127.152.74</name></author>
	</entry>
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