Structure-Based Design and In Silico Virtual Screening of Combinatorial Libraries. A Combined Chemical- Computational Project
This article describes a project assigned as part of the combinatorial chemistry course at the University of Illinois at Urbana–Champaign. In this assignment, students select a biological target of their choice, design a combinatorial library, and use computational procedures to construct the librar...
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Veröffentlicht in: | Journal of chemical education 2005-06, Vol.82 (6), p.890 |
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description | This article describes a project assigned as part of the combinatorial chemistry course at the University of Illinois at Urbana–Champaign. In this assignment, students select a biological target of their choice, design a combinatorial library, and use computational procedures to construct the library in silico and screen this virtual library for binding to the target protein. From the in silico results, students identify R groups that appear to provide the greatest binding to the target and suggest a small combinatorial library optimized for binding. The multiple steps of the assignment are described, together with typical results obtained. |
doi_str_mv | 10.1021/ed082p890 |
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A Combined Chemical- Computational Project</title><title>Journal of chemical education</title><addtitle>J. Chem. Educ</addtitle><description>This article describes a project assigned as part of the combinatorial chemistry course at the University of Illinois at Urbana–Champaign. In this assignment, students select a biological target of their choice, design a combinatorial library, and use computational procedures to construct the library in silico and screen this virtual library for binding to the target protein. From the in silico results, students identify R groups that appear to provide the greatest binding to the target and suggest a small combinatorial library optimized for binding. The multiple steps of the assignment are described, together with typical results obtained.</description><subject>Binding</subject><subject>Chemistry</subject><subject>Combinatorial analysis</subject><subject>Combinatorial chemistry</subject><subject>Combinatorics</subject><subject>Design</subject><subject>Libraries</subject><subject>Library resources</subject><subject>Organic chemistry</subject><subject>Proteins</subject><subject>Research methodology</subject><subject>Science education</subject><subject>Software</subject><subject>Students</subject><subject>Virtual libraries</subject><issn>0021-9584</issn><issn>1938-1328</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNpl0M9LwzAUB_AgCs7pwf8gCB48dCZp06bHWX_CQGHqtaTJy8zompqkBw_-73Zs6MHTg_f98OXxEDqnZEYJo9egiWC9KMkBmtAyFQlNmThEEzKGSclFdoxOQlgTQhkvxQR9L6MfVBw8JDcygMa3EOyqw7LT-KnDS9ta5fC79XGQLV4qD9DZboWdwZXbNLaT0Xk7RgvbeOkthBme76OxrfqAjVWyTbarfogyWteN-sW7Nah4io6MbAOc7ecUvd3fvVaPyeL54amaLxLJRB6TUmngQgmqG2mMEVxmRZYXimqdayiUanTGS8M1ZJKDyQwUZcakkFQTxkieTtHFrrf37nOAEOu1G_x4SKgZpaNNUz6iqx1S3oXgwdS9txvpv2pK6u1z69_njvZyZ6UKf13_3Q8Af3pP</recordid><startdate>20050601</startdate><enddate>20050601</enddate><creator>Baudry, Jerome</creator><creator>Hergenrother, Paul J</creator><general>Division of Chemical Education</general><general>American Chemical Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope></search><sort><creationdate>20050601</creationdate><title>Structure-Based Design and In Silico Virtual Screening of Combinatorial Libraries. 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A Combined Chemical- Computational Project</atitle><jtitle>Journal of chemical education</jtitle><addtitle>J. Chem. Educ</addtitle><date>2005-06-01</date><risdate>2005</risdate><volume>82</volume><issue>6</issue><spage>890</spage><pages>890-</pages><issn>0021-9584</issn><eissn>1938-1328</eissn><coden>JCEDA8</coden><abstract>This article describes a project assigned as part of the combinatorial chemistry course at the University of Illinois at Urbana–Champaign. In this assignment, students select a biological target of their choice, design a combinatorial library, and use computational procedures to construct the library in silico and screen this virtual library for binding to the target protein. From the in silico results, students identify R groups that appear to provide the greatest binding to the target and suggest a small combinatorial library optimized for binding. 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subjects | Binding Chemistry Combinatorial analysis Combinatorial chemistry Combinatorics Design Libraries Library resources Organic chemistry Proteins Research methodology Science education Software Students Virtual libraries |
title | Structure-Based Design and In Silico Virtual Screening of Combinatorial Libraries. A Combined Chemical- Computational Project |
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