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...

Full description

Saved in:
Bibliographic Details
Published in:International journal of pharmaceutics 2010-07, Vol.394 (1), p.106-114
Main Authors: BERTOSA, B, ALEKSIC, M, KARMINISKI-ZAMOLA, G, TOMIC, S
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&amp;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