Shaping a Screening File for Maximal Lead Discovery Efficiency and Effectiveness: Elimination of Molecular Redundancy

High Throughput Screening (HTS) is a successful strategy for finding hits and leads that have the opportunity to be converted into drugs. In this paper we highlight novel computational methods used to select compounds to build a new screening file at Pfizer and the analytical methods we used to asse...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of chemical information and modeling 2012-11, Vol.52 (11), p.2937-2949
Hauptverfasser: Bakken, Gregory A, Bell, Andrew S, Boehm, Markus, Everett, Jeremy R, Gonzales, Rosalia, Hepworth, David, Klug-McLeod, Jacquelyn L, Lanfear, Jeremy, Loesel, Jens, Mathias, John, Wood, Terence P
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 2949
container_issue 11
container_start_page 2937
container_title Journal of chemical information and modeling
container_volume 52
creator Bakken, Gregory A
Bell, Andrew S
Boehm, Markus
Everett, Jeremy R
Gonzales, Rosalia
Hepworth, David
Klug-McLeod, Jacquelyn L
Lanfear, Jeremy
Loesel, Jens
Mathias, John
Wood, Terence P
description High Throughput Screening (HTS) is a successful strategy for finding hits and leads that have the opportunity to be converted into drugs. In this paper we highlight novel computational methods used to select compounds to build a new screening file at Pfizer and the analytical methods we used to assess their quality. We also introduce the novel concept of molecular redundancy to help decide on the density of compounds required in any region of chemical space in order to be confident of running successful HTS campaigns.
doi_str_mv 10.1021/ci300372a
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1220362533</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1220362533</sourcerecordid><originalsourceid>FETCH-LOGICAL-a408t-5d75a38122c3c3fdfa8581dd394ff12cd70c31c2326b4a70498d82a69fa9e3483</originalsourceid><addsrcrecordid>eNpl0VtLHDEUAOAgFbW2D_6BEiiF9mFtLjOZSd-KXauwItQWfBuOyUmNZJM12ZHuv28W123Rp5zAl5NzIeSIs2POBP9svGRMdgJ2yAFvGz3Ril2_eopbrfbJ61LuqpFaiT2yLyRTgnN-QMarW1j4-JsCvTIZMa7jUx-QupTpBfzxcwh0hmDpN19MesC8olPnvPEYzYpCtOsrmqV_wIilfKHT4Oc-wtKnSJOjFymgGQNk-gPtGC3UZ2_IroNQ8O3mPCS_Tqc_T84ms8vv5ydfZxNoWL-ctLZrQfZcCCONdNZB3_bcWqkb57gwtmNGciOkUDcNdKzRve0FKO1Ao2x6eUg-PuZd5HQ_YlkO89oEhgAR01iGmplJJVopK33_jN6lMcdaXVWsl23bNKyqT4_K5FRKRjcscp1QXg2cDetdDNtdVPtuk3G8maPdyqfhV_BhA6AYCC7X0fjyzynVSV2L2zow5b-qXnz4F1MVnA0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1208355440</pqid></control><display><type>article</type><title>Shaping a Screening File for Maximal Lead Discovery Efficiency and Effectiveness: Elimination of Molecular Redundancy</title><source>ACS Publications</source><source>MEDLINE</source><creator>Bakken, Gregory A ; Bell, Andrew S ; Boehm, Markus ; Everett, Jeremy R ; Gonzales, Rosalia ; Hepworth, David ; Klug-McLeod, Jacquelyn L ; Lanfear, Jeremy ; Loesel, Jens ; Mathias, John ; Wood, Terence P</creator><creatorcontrib>Bakken, Gregory A ; Bell, Andrew S ; Boehm, Markus ; Everett, Jeremy R ; Gonzales, Rosalia ; Hepworth, David ; Klug-McLeod, Jacquelyn L ; Lanfear, Jeremy ; Loesel, Jens ; Mathias, John ; Wood, Terence P</creatorcontrib><description>High Throughput Screening (HTS) is a successful strategy for finding hits and leads that have the opportunity to be converted into drugs. In this paper we highlight novel computational methods used to select compounds to build a new screening file at Pfizer and the analytical methods we used to assess their quality. We also introduce the novel concept of molecular redundancy to help decide on the density of compounds required in any region of chemical space in order to be confident of running successful HTS campaigns.</description><identifier>ISSN: 1549-9596</identifier><identifier>EISSN: 1549-960X</identifier><identifier>DOI: 10.1021/ci300372a</identifier><identifier>PMID: 23062111</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>Algorithms ; Biological and medical sciences ; Chemical compounds ; Chemicals ; Chemistry ; Computer Simulation ; Drug Design ; Drug Discovery ; Drugs ; Exact sciences and technology ; General and physical chemistry ; General pharmacology ; General. Nomenclature, chemical documentation, computer chemistry ; Medical sciences ; Models, Molecular ; Molecules ; Pharmaceutical technology. Pharmaceutical industry ; Pharmacology. Drug treatments ; Probability ; Quantitative Structure-Activity Relationship ; Small Molecule Libraries - chemistry ; Theory of reactions, general kinetics. Catalysis. Nomenclature, chemical documentation, computer chemistry</subject><ispartof>Journal of chemical information and modeling, 2012-11, Vol.52 (11), p.2937-2949</ispartof><rights>Copyright © 2012 American Chemical Society</rights><rights>2014 INIST-CNRS</rights><rights>Copyright American Chemical Society Nov 26, 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a408t-5d75a38122c3c3fdfa8581dd394ff12cd70c31c2326b4a70498d82a69fa9e3483</citedby><cites>FETCH-LOGICAL-a408t-5d75a38122c3c3fdfa8581dd394ff12cd70c31c2326b4a70498d82a69fa9e3483</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/ci300372a$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/ci300372a$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2752,27053,27901,27902,56713,56763</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=26673925$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23062111$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bakken, Gregory A</creatorcontrib><creatorcontrib>Bell, Andrew S</creatorcontrib><creatorcontrib>Boehm, Markus</creatorcontrib><creatorcontrib>Everett, Jeremy R</creatorcontrib><creatorcontrib>Gonzales, Rosalia</creatorcontrib><creatorcontrib>Hepworth, David</creatorcontrib><creatorcontrib>Klug-McLeod, Jacquelyn L</creatorcontrib><creatorcontrib>Lanfear, Jeremy</creatorcontrib><creatorcontrib>Loesel, Jens</creatorcontrib><creatorcontrib>Mathias, John</creatorcontrib><creatorcontrib>Wood, Terence P</creatorcontrib><title>Shaping a Screening File for Maximal Lead Discovery Efficiency and Effectiveness: Elimination of Molecular Redundancy</title><title>Journal of chemical information and modeling</title><addtitle>J. Chem. Inf. Model</addtitle><description>High Throughput Screening (HTS) is a successful strategy for finding hits and leads that have the opportunity to be converted into drugs. In this paper we highlight novel computational methods used to select compounds to build a new screening file at Pfizer and the analytical methods we used to assess their quality. We also introduce the novel concept of molecular redundancy to help decide on the density of compounds required in any region of chemical space in order to be confident of running successful HTS campaigns.</description><subject>Algorithms</subject><subject>Biological and medical sciences</subject><subject>Chemical compounds</subject><subject>Chemicals</subject><subject>Chemistry</subject><subject>Computer Simulation</subject><subject>Drug Design</subject><subject>Drug Discovery</subject><subject>Drugs</subject><subject>Exact sciences and technology</subject><subject>General and physical chemistry</subject><subject>General pharmacology</subject><subject>General. Nomenclature, chemical documentation, computer chemistry</subject><subject>Medical sciences</subject><subject>Models, Molecular</subject><subject>Molecules</subject><subject>Pharmaceutical technology. Pharmaceutical industry</subject><subject>Pharmacology. Drug treatments</subject><subject>Probability</subject><subject>Quantitative Structure-Activity Relationship</subject><subject>Small Molecule Libraries - chemistry</subject><subject>Theory of reactions, general kinetics. Catalysis. Nomenclature, chemical documentation, computer chemistry</subject><issn>1549-9596</issn><issn>1549-960X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpl0VtLHDEUAOAgFbW2D_6BEiiF9mFtLjOZSd-KXauwItQWfBuOyUmNZJM12ZHuv28W123Rp5zAl5NzIeSIs2POBP9svGRMdgJ2yAFvGz3Ril2_eopbrfbJ61LuqpFaiT2yLyRTgnN-QMarW1j4-JsCvTIZMa7jUx-QupTpBfzxcwh0hmDpN19MesC8olPnvPEYzYpCtOsrmqV_wIilfKHT4Oc-wtKnSJOjFymgGQNk-gPtGC3UZ2_IroNQ8O3mPCS_Tqc_T84ms8vv5ydfZxNoWL-ctLZrQfZcCCONdNZB3_bcWqkb57gwtmNGciOkUDcNdKzRve0FKO1Ao2x6eUg-PuZd5HQ_YlkO89oEhgAR01iGmplJJVopK33_jN6lMcdaXVWsl23bNKyqT4_K5FRKRjcscp1QXg2cDetdDNtdVPtuk3G8maPdyqfhV_BhA6AYCC7X0fjyzynVSV2L2zow5b-qXnz4F1MVnA0</recordid><startdate>20121126</startdate><enddate>20121126</enddate><creator>Bakken, Gregory A</creator><creator>Bell, Andrew S</creator><creator>Boehm, Markus</creator><creator>Everett, Jeremy R</creator><creator>Gonzales, Rosalia</creator><creator>Hepworth, David</creator><creator>Klug-McLeod, Jacquelyn L</creator><creator>Lanfear, Jeremy</creator><creator>Loesel, Jens</creator><creator>Mathias, John</creator><creator>Wood, Terence P</creator><general>American Chemical Society</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope></search><sort><creationdate>20121126</creationdate><title>Shaping a Screening File for Maximal Lead Discovery Efficiency and Effectiveness: Elimination of Molecular Redundancy</title><author>Bakken, Gregory A ; Bell, Andrew S ; Boehm, Markus ; Everett, Jeremy R ; Gonzales, Rosalia ; Hepworth, David ; Klug-McLeod, Jacquelyn L ; Lanfear, Jeremy ; Loesel, Jens ; Mathias, John ; Wood, Terence P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a408t-5d75a38122c3c3fdfa8581dd394ff12cd70c31c2326b4a70498d82a69fa9e3483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Algorithms</topic><topic>Biological and medical sciences</topic><topic>Chemical compounds</topic><topic>Chemicals</topic><topic>Chemistry</topic><topic>Computer Simulation</topic><topic>Drug Design</topic><topic>Drug Discovery</topic><topic>Drugs</topic><topic>Exact sciences and technology</topic><topic>General and physical chemistry</topic><topic>General pharmacology</topic><topic>General. Nomenclature, chemical documentation, computer chemistry</topic><topic>Medical sciences</topic><topic>Models, Molecular</topic><topic>Molecules</topic><topic>Pharmaceutical technology. Pharmaceutical industry</topic><topic>Pharmacology. Drug treatments</topic><topic>Probability</topic><topic>Quantitative Structure-Activity Relationship</topic><topic>Small Molecule Libraries - chemistry</topic><topic>Theory of reactions, general kinetics. Catalysis. Nomenclature, chemical documentation, computer chemistry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bakken, Gregory A</creatorcontrib><creatorcontrib>Bell, Andrew S</creatorcontrib><creatorcontrib>Boehm, Markus</creatorcontrib><creatorcontrib>Everett, Jeremy R</creatorcontrib><creatorcontrib>Gonzales, Rosalia</creatorcontrib><creatorcontrib>Hepworth, David</creatorcontrib><creatorcontrib>Klug-McLeod, Jacquelyn L</creatorcontrib><creatorcontrib>Lanfear, Jeremy</creatorcontrib><creatorcontrib>Loesel, Jens</creatorcontrib><creatorcontrib>Mathias, John</creatorcontrib><creatorcontrib>Wood, Terence P</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of chemical information and modeling</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bakken, Gregory A</au><au>Bell, Andrew S</au><au>Boehm, Markus</au><au>Everett, Jeremy R</au><au>Gonzales, Rosalia</au><au>Hepworth, David</au><au>Klug-McLeod, Jacquelyn L</au><au>Lanfear, Jeremy</au><au>Loesel, Jens</au><au>Mathias, John</au><au>Wood, Terence P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Shaping a Screening File for Maximal Lead Discovery Efficiency and Effectiveness: Elimination of Molecular Redundancy</atitle><jtitle>Journal of chemical information and modeling</jtitle><addtitle>J. Chem. Inf. Model</addtitle><date>2012-11-26</date><risdate>2012</risdate><volume>52</volume><issue>11</issue><spage>2937</spage><epage>2949</epage><pages>2937-2949</pages><issn>1549-9596</issn><eissn>1549-960X</eissn><abstract>High Throughput Screening (HTS) is a successful strategy for finding hits and leads that have the opportunity to be converted into drugs. In this paper we highlight novel computational methods used to select compounds to build a new screening file at Pfizer and the analytical methods we used to assess their quality. We also introduce the novel concept of molecular redundancy to help decide on the density of compounds required in any region of chemical space in order to be confident of running successful HTS campaigns.</abstract><cop>Washington, DC</cop><pub>American Chemical Society</pub><pmid>23062111</pmid><doi>10.1021/ci300372a</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1549-9596
ispartof Journal of chemical information and modeling, 2012-11, Vol.52 (11), p.2937-2949
issn 1549-9596
1549-960X
language eng
recordid cdi_proquest_miscellaneous_1220362533
source ACS Publications; MEDLINE
subjects Algorithms
Biological and medical sciences
Chemical compounds
Chemicals
Chemistry
Computer Simulation
Drug Design
Drug Discovery
Drugs
Exact sciences and technology
General and physical chemistry
General pharmacology
General. Nomenclature, chemical documentation, computer chemistry
Medical sciences
Models, Molecular
Molecules
Pharmaceutical technology. Pharmaceutical industry
Pharmacology. Drug treatments
Probability
Quantitative Structure-Activity Relationship
Small Molecule Libraries - chemistry
Theory of reactions, general kinetics. Catalysis. Nomenclature, chemical documentation, computer chemistry
title Shaping a Screening File for Maximal Lead Discovery Efficiency and Effectiveness: Elimination of Molecular Redundancy
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T06%3A03%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Shaping%20a%20Screening%20File%20for%20Maximal%20Lead%20Discovery%20Efficiency%20and%20Effectiveness:%20Elimination%20of%20Molecular%20Redundancy&rft.jtitle=Journal%20of%20chemical%20information%20and%20modeling&rft.au=Bakken,%20Gregory%20A&rft.date=2012-11-26&rft.volume=52&rft.issue=11&rft.spage=2937&rft.epage=2949&rft.pages=2937-2949&rft.issn=1549-9596&rft.eissn=1549-960X&rft_id=info:doi/10.1021/ci300372a&rft_dat=%3Cproquest_cross%3E1220362533%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1208355440&rft_id=info:pmid/23062111&rfr_iscdi=true