Loading…
QSAR analysis of antitumor active amides and quinolones from thiophene series
QSAR models for predicting antitumor activity of heterocyclic amides and quinolones from benzo[ b]thiophene-, thieno[3,2- b]thiophene- and thieno[2,3- b], thiophene series against MiaPaCa-2 and MCF-7 cells were built. Complete dataset consisted of 59 compounds and several QSAR models with different...
Saved in:
Published in: | International journal of pharmaceutics 2010-07, Vol.394 (1), p.106-114 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c394t-bfe75283231fbc920eb94a008181328cfe942dc23a5dc63dc689ebf4b6ce71be3 |
---|---|
cites | cdi_FETCH-LOGICAL-c394t-bfe75283231fbc920eb94a008181328cfe942dc23a5dc63dc689ebf4b6ce71be3 |
container_end_page | 114 |
container_issue | 1 |
container_start_page | 106 |
container_title | International journal of pharmaceutics |
container_volume | 394 |
creator | BERTOSA, B ALEKSIC, M KARMINISKI-ZAMOLA, G TOMIC, S |
description | QSAR models for predicting antitumor activity of heterocyclic amides and quinolones from benzo[
b]thiophene-, thieno[3,2-
b]thiophene- and thieno[2,3-
b], thiophene series against MiaPaCa-2 and MCF-7 cells were built. Complete dataset consisted of 59 compounds and several QSAR models with different predictive ability were derived. Beside standard approaches for building QSAR models, the approach based on a small dataset of 10 compounds selected regarding the results of principal component analysis was tested. The latter approach was shown as successful and can be useful for planning future experiments in order to speed up and simplify the search for new drug candidates. Based on the derived QSAR models, the most important properties for compound's antitumor activity against MiaPaCa-2 and MCF-7 cells were identified. Volume, sum of the hydrophobic surfaces and presence of the group that can be easily ionized in the pH range from 4 to 9, were found to be highly important for successful antitumor activity of the examined heterocyclic amides and quinolones. New compounds, with potentially higher biological activity against MiaPaCa-2 and MCF-7 cells, were proposed. Their activities were predicted using the derived QSAR models and the proposed compounds were shown as promising antitumor candidates. |
doi_str_mv | 10.1016/j.ijpharm.2010.05.014 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_733336802</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0378517310003571</els_id><sourcerecordid>733336802</sourcerecordid><originalsourceid>FETCH-LOGICAL-c394t-bfe75283231fbc920eb94a008181328cfe942dc23a5dc63dc689ebf4b6ce71be3</originalsourceid><addsrcrecordid>eNqFkEtLAzEQgIMotlZ_grIX8bR1kuzzJEV8QUV8nUM2O6Epu5s22S34701p1aMDwyTDN5PwEXJOYUqBZtfLqVmuFtK1UwahB-kUaHJAxrTIecyTPDskY-B5Eac05yNy4v0SADJG-TEZMUjybY7J8-v77C2SnWy-vPGR1eHcm35orYuk6s0GI9maGn3o19F6MJ1tbBeu2tk26hfGrhbYYeTRGfSn5EjLxuPZvk7I5_3dx-1jPH95eLqdzWPFy6SPK415ygrOONWVKhlgVSYSoKAF5axQGsuE1YpxmdYq4yGLEiudVJnCnFbIJ-Rqt3fl7HpA34vWeIVNIzu0gxc5D5EVwAKZ7kjlrPcOtVg500r3JSiIrUixFHuRYitSQCqCyDB3sX9hqFqsf6d-zAXgcg9Ir2SjneyU8X8cK8sMsjRwNzsOg4-NQSe8MtgprI1D1Yvamn--8g1i45R4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>733336802</pqid></control><display><type>article</type><title>QSAR analysis of antitumor active amides and quinolones from thiophene series</title><source>ScienceDirect Journals</source><creator>BERTOSA, B ; ALEKSIC, M ; KARMINISKI-ZAMOLA, G ; TOMIC, S</creator><creatorcontrib>BERTOSA, B ; ALEKSIC, M ; KARMINISKI-ZAMOLA, G ; TOMIC, S</creatorcontrib><description>QSAR models for predicting antitumor activity of heterocyclic amides and quinolones from benzo[
b]thiophene-, thieno[3,2-
b]thiophene- and thieno[2,3-
b], thiophene series against MiaPaCa-2 and MCF-7 cells were built. Complete dataset consisted of 59 compounds and several QSAR models with different predictive ability were derived. Beside standard approaches for building QSAR models, the approach based on a small dataset of 10 compounds selected regarding the results of principal component analysis was tested. The latter approach was shown as successful and can be useful for planning future experiments in order to speed up and simplify the search for new drug candidates. Based on the derived QSAR models, the most important properties for compound's antitumor activity against MiaPaCa-2 and MCF-7 cells were identified. Volume, sum of the hydrophobic surfaces and presence of the group that can be easily ionized in the pH range from 4 to 9, were found to be highly important for successful antitumor activity of the examined heterocyclic amides and quinolones. New compounds, with potentially higher biological activity against MiaPaCa-2 and MCF-7 cells, were proposed. Their activities were predicted using the derived QSAR models and the proposed compounds were shown as promising antitumor candidates.</description><identifier>ISSN: 0378-5173</identifier><identifier>EISSN: 1873-3476</identifier><identifier>DOI: 10.1016/j.ijpharm.2010.05.014</identifier><identifier>PMID: 20472047</identifier><identifier>CODEN: IJPHDE</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Amides - chemistry ; Amides - pharmacology ; Antineoplastic Agents - chemistry ; Antineoplastic Agents - pharmacology ; Antitumor activity ; Biological and medical sciences ; Cell Line, Tumor ; Drug Screening Assays, Antitumor ; General pharmacology ; Humans ; Hydrogen-Ion Concentration ; Hydrophobic and Hydrophilic Interactions ; Medical sciences ; Models, Molecular ; Pharmaceutical technology. Pharmaceutical industry ; Pharmacology. Drug treatments ; Principal Component Analysis ; QSAR ; Quantitative Structure-Activity Relationship ; Quinolones ; Quinolones - chemistry ; Quinolones - pharmacology ; Thiophenes - chemistry ; Thiophenes - pharmacology ; VolSurf</subject><ispartof>International journal of pharmaceutics, 2010-07, Vol.394 (1), p.106-114</ispartof><rights>2010 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright (c) 2010 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c394t-bfe75283231fbc920eb94a008181328cfe942dc23a5dc63dc689ebf4b6ce71be3</citedby><cites>FETCH-LOGICAL-c394t-bfe75283231fbc920eb94a008181328cfe942dc23a5dc63dc689ebf4b6ce71be3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22996065$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20472047$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>BERTOSA, B</creatorcontrib><creatorcontrib>ALEKSIC, M</creatorcontrib><creatorcontrib>KARMINISKI-ZAMOLA, G</creatorcontrib><creatorcontrib>TOMIC, S</creatorcontrib><title>QSAR analysis of antitumor active amides and quinolones from thiophene series</title><title>International journal of pharmaceutics</title><addtitle>Int J Pharm</addtitle><description>QSAR models for predicting antitumor activity of heterocyclic amides and quinolones from benzo[
b]thiophene-, thieno[3,2-
b]thiophene- and thieno[2,3-
b], thiophene series against MiaPaCa-2 and MCF-7 cells were built. Complete dataset consisted of 59 compounds and several QSAR models with different predictive ability were derived. Beside standard approaches for building QSAR models, the approach based on a small dataset of 10 compounds selected regarding the results of principal component analysis was tested. The latter approach was shown as successful and can be useful for planning future experiments in order to speed up and simplify the search for new drug candidates. Based on the derived QSAR models, the most important properties for compound's antitumor activity against MiaPaCa-2 and MCF-7 cells were identified. Volume, sum of the hydrophobic surfaces and presence of the group that can be easily ionized in the pH range from 4 to 9, were found to be highly important for successful antitumor activity of the examined heterocyclic amides and quinolones. New compounds, with potentially higher biological activity against MiaPaCa-2 and MCF-7 cells, were proposed. Their activities were predicted using the derived QSAR models and the proposed compounds were shown as promising antitumor candidates.</description><subject>Amides - chemistry</subject><subject>Amides - pharmacology</subject><subject>Antineoplastic Agents - chemistry</subject><subject>Antineoplastic Agents - pharmacology</subject><subject>Antitumor activity</subject><subject>Biological and medical sciences</subject><subject>Cell Line, Tumor</subject><subject>Drug Screening Assays, Antitumor</subject><subject>General pharmacology</subject><subject>Humans</subject><subject>Hydrogen-Ion Concentration</subject><subject>Hydrophobic and Hydrophilic Interactions</subject><subject>Medical sciences</subject><subject>Models, Molecular</subject><subject>Pharmaceutical technology. Pharmaceutical industry</subject><subject>Pharmacology. Drug treatments</subject><subject>Principal Component Analysis</subject><subject>QSAR</subject><subject>Quantitative Structure-Activity Relationship</subject><subject>Quinolones</subject><subject>Quinolones - chemistry</subject><subject>Quinolones - pharmacology</subject><subject>Thiophenes - chemistry</subject><subject>Thiophenes - pharmacology</subject><subject>VolSurf</subject><issn>0378-5173</issn><issn>1873-3476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFkEtLAzEQgIMotlZ_grIX8bR1kuzzJEV8QUV8nUM2O6Epu5s22S34701p1aMDwyTDN5PwEXJOYUqBZtfLqVmuFtK1UwahB-kUaHJAxrTIecyTPDskY-B5Eac05yNy4v0SADJG-TEZMUjybY7J8-v77C2SnWy-vPGR1eHcm35orYuk6s0GI9maGn3o19F6MJ1tbBeu2tk26hfGrhbYYeTRGfSn5EjLxuPZvk7I5_3dx-1jPH95eLqdzWPFy6SPK415ygrOONWVKhlgVSYSoKAF5axQGsuE1YpxmdYq4yGLEiudVJnCnFbIJ-Rqt3fl7HpA34vWeIVNIzu0gxc5D5EVwAKZ7kjlrPcOtVg500r3JSiIrUixFHuRYitSQCqCyDB3sX9hqFqsf6d-zAXgcg9Ir2SjneyU8X8cK8sMsjRwNzsOg4-NQSe8MtgprI1D1Yvamn--8g1i45R4</recordid><startdate>20100715</startdate><enddate>20100715</enddate><creator>BERTOSA, B</creator><creator>ALEKSIC, M</creator><creator>KARMINISKI-ZAMOLA, G</creator><creator>TOMIC, S</creator><general>Elsevier B.V</general><general>Elsevier</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>7X8</scope></search><sort><creationdate>20100715</creationdate><title>QSAR analysis of antitumor active amides and quinolones from thiophene series</title><author>BERTOSA, B ; ALEKSIC, M ; KARMINISKI-ZAMOLA, G ; TOMIC, S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c394t-bfe75283231fbc920eb94a008181328cfe942dc23a5dc63dc689ebf4b6ce71be3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Amides - chemistry</topic><topic>Amides - pharmacology</topic><topic>Antineoplastic Agents - chemistry</topic><topic>Antineoplastic Agents - pharmacology</topic><topic>Antitumor activity</topic><topic>Biological and medical sciences</topic><topic>Cell Line, Tumor</topic><topic>Drug Screening Assays, Antitumor</topic><topic>General pharmacology</topic><topic>Humans</topic><topic>Hydrogen-Ion Concentration</topic><topic>Hydrophobic and Hydrophilic Interactions</topic><topic>Medical sciences</topic><topic>Models, Molecular</topic><topic>Pharmaceutical technology. Pharmaceutical industry</topic><topic>Pharmacology. Drug treatments</topic><topic>Principal Component Analysis</topic><topic>QSAR</topic><topic>Quantitative Structure-Activity Relationship</topic><topic>Quinolones</topic><topic>Quinolones - chemistry</topic><topic>Quinolones - pharmacology</topic><topic>Thiophenes - chemistry</topic><topic>Thiophenes - pharmacology</topic><topic>VolSurf</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>BERTOSA, B</creatorcontrib><creatorcontrib>ALEKSIC, M</creatorcontrib><creatorcontrib>KARMINISKI-ZAMOLA, G</creatorcontrib><creatorcontrib>TOMIC, S</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>MEDLINE - Academic</collection><jtitle>International journal of pharmaceutics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>BERTOSA, B</au><au>ALEKSIC, M</au><au>KARMINISKI-ZAMOLA, G</au><au>TOMIC, S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>QSAR analysis of antitumor active amides and quinolones from thiophene series</atitle><jtitle>International journal of pharmaceutics</jtitle><addtitle>Int J Pharm</addtitle><date>2010-07-15</date><risdate>2010</risdate><volume>394</volume><issue>1</issue><spage>106</spage><epage>114</epage><pages>106-114</pages><issn>0378-5173</issn><eissn>1873-3476</eissn><coden>IJPHDE</coden><abstract>QSAR models for predicting antitumor activity of heterocyclic amides and quinolones from benzo[
b]thiophene-, thieno[3,2-
b]thiophene- and thieno[2,3-
b], thiophene series against MiaPaCa-2 and MCF-7 cells were built. Complete dataset consisted of 59 compounds and several QSAR models with different predictive ability were derived. Beside standard approaches for building QSAR models, the approach based on a small dataset of 10 compounds selected regarding the results of principal component analysis was tested. The latter approach was shown as successful and can be useful for planning future experiments in order to speed up and simplify the search for new drug candidates. Based on the derived QSAR models, the most important properties for compound's antitumor activity against MiaPaCa-2 and MCF-7 cells were identified. Volume, sum of the hydrophobic surfaces and presence of the group that can be easily ionized in the pH range from 4 to 9, were found to be highly important for successful antitumor activity of the examined heterocyclic amides and quinolones. New compounds, with potentially higher biological activity against MiaPaCa-2 and MCF-7 cells, were proposed. Their activities were predicted using the derived QSAR models and the proposed compounds were shown as promising antitumor candidates.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><pmid>20472047</pmid><doi>10.1016/j.ijpharm.2010.05.014</doi><tpages>9</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0378-5173 |
ispartof | International journal of pharmaceutics, 2010-07, Vol.394 (1), p.106-114 |
issn | 0378-5173 1873-3476 |
language | eng |
recordid | cdi_proquest_miscellaneous_733336802 |
source | ScienceDirect Journals |
subjects | Amides - chemistry Amides - pharmacology Antineoplastic Agents - chemistry Antineoplastic Agents - pharmacology Antitumor activity Biological and medical sciences Cell Line, Tumor Drug Screening Assays, Antitumor General pharmacology Humans Hydrogen-Ion Concentration Hydrophobic and Hydrophilic Interactions Medical sciences Models, Molecular Pharmaceutical technology. Pharmaceutical industry Pharmacology. Drug treatments Principal Component Analysis QSAR Quantitative Structure-Activity Relationship Quinolones Quinolones - chemistry Quinolones - pharmacology Thiophenes - chemistry Thiophenes - pharmacology VolSurf |
title | QSAR analysis of antitumor active amides and quinolones from thiophene series |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T21%3A28%3A10IST&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=QSAR%20analysis%20of%20antitumor%20active%20amides%20and%20quinolones%20from%20thiophene%20series&rft.jtitle=International%20journal%20of%20pharmaceutics&rft.au=BERTOSA,%20B&rft.date=2010-07-15&rft.volume=394&rft.issue=1&rft.spage=106&rft.epage=114&rft.pages=106-114&rft.issn=0378-5173&rft.eissn=1873-3476&rft.coden=IJPHDE&rft_id=info:doi/10.1016/j.ijpharm.2010.05.014&rft_dat=%3Cproquest_cross%3E733336802%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c394t-bfe75283231fbc920eb94a008181328cfe942dc23a5dc63dc689ebf4b6ce71be3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=733336802&rft_id=info:pmid/20472047&rfr_iscdi=true |