Structural Probing, Screening and Structure-Based Drug Repositioning Insights into the Identification of Potential Cox-2 Inhibitors from Selective Coxibs
The rate-limiting enzyme cyclooxygenase-2 (COX-2) is considered as an insightful prognostic target for non-small cell lung cancer (NSCLC) therapy. Now, administration and prolonged utilization of selective COX-2 inhibitors (COXIBs) towards moderating the NSCLC has been associated with different side...
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description | The rate-limiting enzyme cyclooxygenase-2 (COX-2) is considered as an insightful prognostic target for non-small cell lung cancer (NSCLC) therapy. Now, administration and prolonged utilization of selective COX-2 inhibitors (COXIBs) towards moderating the NSCLC has been associated with different side effects. In the present study, we focused on the structure-based drug repositioning approaches for predicting therapeutic potential de novo candidates for human COX-2. Due to discrepancies in the eminence of x-ray diffraction structures, creates a big barrier in drug discovery approach. Hence, the adaptable COX-2 structure was investigated using multi-template modeling method. Next, a dataset of twenty-six celebrex-associated optimized scaffolds were screened from ZINC database. Comparative docking approaches were then utilized to identify five compounds as best binders to the active site of COX-2 structures and strongly agree with enormous experimental consequences. MD simulations of regarded protein–ligand complexes reveals that lead molecules were stabilized dynamically in inside the cyclooxygenase site by forming potential salt bridges with Tyr
348
, Tyr
385
and Ser
530
residues. These significant results revealed that, identified druggables could prevent the tyrosyl radicals and prostaglandin production that reduces NSCLC progression. Furthermore, pharmacokinetics assets of respected ligands were analyzed, which incorporates similarity ensemble approach, druglikeness and ADMET properties. Finally, the identified novel candidates could serve as COX-2 inhibitors for NSCLC therapy, and coxibs are the best choices for designing new scaffolds to treat cyclooxygenases regard disorders. |
doi_str_mv | 10.1007/s12539-017-0244-5 |
format | Article |
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348
, Tyr
385
and Ser
530
residues. These significant results revealed that, identified druggables could prevent the tyrosyl radicals and prostaglandin production that reduces NSCLC progression. Furthermore, pharmacokinetics assets of respected ligands were analyzed, which incorporates similarity ensemble approach, druglikeness and ADMET properties. Finally, the identified novel candidates could serve as COX-2 inhibitors for NSCLC therapy, and coxibs are the best choices for designing new scaffolds to treat cyclooxygenases regard disorders.</description><identifier>ISSN: 1913-2751</identifier><identifier>EISSN: 1867-1462</identifier><identifier>DOI: 10.1007/s12539-017-0244-5</identifier><identifier>PMID: 29236213</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Binders ; Biomedical and Life Sciences ; Computational Biology/Bioinformatics ; Computational Science and Engineering ; Computer Appl. in Life Sciences ; Computer simulation ; Coordination compounds ; COX-2 inhibitors ; Cyclooxygenase 2 - chemistry ; Cyclooxygenase 2 Inhibitors - chemistry ; Cyclooxygenase 2 Inhibitors - pharmacology ; Cyclooxygenase-2 ; Docking ; Drug discovery ; Drug Evaluation, Preclinical ; Drug Repositioning ; Female ; Health Sciences ; Humans ; Hydrogen Bonding ; Inhibitors ; Life Sciences ; Ligands ; Lung cancer ; Male ; Mathematical and Computational Physics ; Medicine ; Molecular Docking Simulation ; Molecular Dynamics Simulation ; Non-small cell lung carcinoma ; Original Research Article ; Pharmacokinetics ; Pharmacology ; Protein Structure, Secondary ; Scaffolds ; Side effects ; Statistics for Life Sciences ; Structure-Activity Relationship ; Theoretical ; Theoretical and Computational Chemistry ; Therapy ; X-ray diffraction</subject><ispartof>Interdisciplinary sciences : computational life sciences, 2019-06, Vol.11 (2), p.153-169</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2017</rights><rights>Interdisciplinary Sciences: Computational Life Sciences is a copyright of Springer, (2017). All Rights Reserved.</rights><rights>Copyright Springer Nature B.V. 2019</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c400t-5e6680eb5b307574c82164730bcfd79c550aaf3715e040569b6c1552b9a750de3</citedby><cites>FETCH-LOGICAL-c400t-5e6680eb5b307574c82164730bcfd79c550aaf3715e040569b6c1552b9a750de3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12539-017-0244-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12539-017-0244-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29236213$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bommu, Uma Devi</creatorcontrib><creatorcontrib>Konidala, Kranthi Kumar</creatorcontrib><creatorcontrib>Pamanji, Rishika</creatorcontrib><creatorcontrib>Yeguvapalli, Suneetha</creatorcontrib><title>Structural Probing, Screening and Structure-Based Drug Repositioning Insights into the Identification of Potential Cox-2 Inhibitors from Selective Coxibs</title><title>Interdisciplinary sciences : computational life sciences</title><addtitle>Interdiscip Sci Comput Life Sci</addtitle><addtitle>Interdiscip Sci</addtitle><description>The rate-limiting enzyme cyclooxygenase-2 (COX-2) is considered as an insightful prognostic target for non-small cell lung cancer (NSCLC) therapy. Now, administration and prolonged utilization of selective COX-2 inhibitors (COXIBs) towards moderating the NSCLC has been associated with different side effects. In the present study, we focused on the structure-based drug repositioning approaches for predicting therapeutic potential de novo candidates for human COX-2. Due to discrepancies in the eminence of x-ray diffraction structures, creates a big barrier in drug discovery approach. Hence, the adaptable COX-2 structure was investigated using multi-template modeling method. Next, a dataset of twenty-six celebrex-associated optimized scaffolds were screened from ZINC database. Comparative docking approaches were then utilized to identify five compounds as best binders to the active site of COX-2 structures and strongly agree with enormous experimental consequences. MD simulations of regarded protein–ligand complexes reveals that lead molecules were stabilized dynamically in inside the cyclooxygenase site by forming potential salt bridges with Tyr
348
, Tyr
385
and Ser
530
residues. These significant results revealed that, identified druggables could prevent the tyrosyl radicals and prostaglandin production that reduces NSCLC progression. Furthermore, pharmacokinetics assets of respected ligands were analyzed, which incorporates similarity ensemble approach, druglikeness and ADMET properties. Finally, the identified novel candidates could serve as COX-2 inhibitors for NSCLC therapy, and coxibs are the best choices for designing new scaffolds to treat cyclooxygenases regard disorders.</description><subject>Binders</subject><subject>Biomedical and Life Sciences</subject><subject>Computational Biology/Bioinformatics</subject><subject>Computational Science and Engineering</subject><subject>Computer Appl. in Life Sciences</subject><subject>Computer simulation</subject><subject>Coordination compounds</subject><subject>COX-2 inhibitors</subject><subject>Cyclooxygenase 2 - chemistry</subject><subject>Cyclooxygenase 2 Inhibitors - chemistry</subject><subject>Cyclooxygenase 2 Inhibitors - pharmacology</subject><subject>Cyclooxygenase-2</subject><subject>Docking</subject><subject>Drug discovery</subject><subject>Drug Evaluation, Preclinical</subject><subject>Drug Repositioning</subject><subject>Female</subject><subject>Health Sciences</subject><subject>Humans</subject><subject>Hydrogen Bonding</subject><subject>Inhibitors</subject><subject>Life Sciences</subject><subject>Ligands</subject><subject>Lung cancer</subject><subject>Male</subject><subject>Mathematical and Computational Physics</subject><subject>Medicine</subject><subject>Molecular Docking Simulation</subject><subject>Molecular Dynamics Simulation</subject><subject>Non-small cell lung carcinoma</subject><subject>Original Research Article</subject><subject>Pharmacokinetics</subject><subject>Pharmacology</subject><subject>Protein Structure, Secondary</subject><subject>Scaffolds</subject><subject>Side effects</subject><subject>Statistics for Life Sciences</subject><subject>Structure-Activity Relationship</subject><subject>Theoretical</subject><subject>Theoretical and Computational Chemistry</subject><subject>Therapy</subject><subject>X-ray diffraction</subject><issn>1913-2751</issn><issn>1867-1462</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kc-O1DAMxiMEYpeBB-CCInHhQMBJmqQ9ssO_kVZixcA5SlN3JqtOMyQpgkfhbWmZXZCQ4GJb9s-fo3yEPObwggOYl5kLJRsG3DAQVcXUHXLOa20Yr7S4O9cNl0wYxc_Ig5yvAXRVS7hPzkQjpBZcnpMf25ImX6bkBnqVYhvG3XO69QlxnEvqxo7eEsguXMaOvk7Tjn7EY8yhhPgL24w57PYl0zCWSMse6abDsYQ-eLcwNPb0KpalNd9Zx29MzDv70IYSU6Z9ige6xQF9CV9xmYc2PyT3ejdkfHSTV-Tz2zef1u_Z5Yd3m_WrS-YrgMIUal0DtqqVYJSpfC24royE1vedabxS4FwvDVcIFSjdtNpzpUTbOKOgQ7kiz066xxS_TJiLPYTscRjciHHKljdGV5VcvnpFnv6FXscpjfPrrBBKqbqW9f8pAAFSyDmsCD9RPsWcE_b2mMLBpe-Wg13ctSd37eyuXdy1i_KTG-WpPWD3e-PWzhkQJyDPo3GH6c_pf6v-BPavr4A</recordid><startdate>20190601</startdate><enddate>20190601</enddate><creator>Bommu, Uma Devi</creator><creator>Konidala, Kranthi Kumar</creator><creator>Pamanji, Rishika</creator><creator>Yeguvapalli, Suneetha</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><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>3V.</scope><scope>7QO</scope><scope>7SC</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K9.</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>7X8</scope></search><sort><creationdate>20190601</creationdate><title>Structural Probing, Screening and Structure-Based Drug Repositioning Insights into the Identification of Potential Cox-2 Inhibitors from Selective Coxibs</title><author>Bommu, Uma Devi ; Konidala, Kranthi Kumar ; Pamanji, Rishika ; Yeguvapalli, Suneetha</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c400t-5e6680eb5b307574c82164730bcfd79c550aaf3715e040569b6c1552b9a750de3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Binders</topic><topic>Biomedical and Life Sciences</topic><topic>Computational Biology/Bioinformatics</topic><topic>Computational Science and Engineering</topic><topic>Computer Appl. in Life Sciences</topic><topic>Computer simulation</topic><topic>Coordination compounds</topic><topic>COX-2 inhibitors</topic><topic>Cyclooxygenase 2 - 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Academic</collection><jtitle>Interdisciplinary sciences : computational life sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bommu, Uma Devi</au><au>Konidala, Kranthi Kumar</au><au>Pamanji, Rishika</au><au>Yeguvapalli, Suneetha</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Structural Probing, Screening and Structure-Based Drug Repositioning Insights into the Identification of Potential Cox-2 Inhibitors from Selective Coxibs</atitle><jtitle>Interdisciplinary sciences : computational life sciences</jtitle><stitle>Interdiscip Sci Comput Life Sci</stitle><addtitle>Interdiscip Sci</addtitle><date>2019-06-01</date><risdate>2019</risdate><volume>11</volume><issue>2</issue><spage>153</spage><epage>169</epage><pages>153-169</pages><issn>1913-2751</issn><eissn>1867-1462</eissn><abstract>The rate-limiting enzyme cyclooxygenase-2 (COX-2) is considered as an insightful prognostic target for non-small cell lung cancer (NSCLC) therapy. Now, administration and prolonged utilization of selective COX-2 inhibitors (COXIBs) towards moderating the NSCLC has been associated with different side effects. In the present study, we focused on the structure-based drug repositioning approaches for predicting therapeutic potential de novo candidates for human COX-2. Due to discrepancies in the eminence of x-ray diffraction structures, creates a big barrier in drug discovery approach. Hence, the adaptable COX-2 structure was investigated using multi-template modeling method. Next, a dataset of twenty-six celebrex-associated optimized scaffolds were screened from ZINC database. Comparative docking approaches were then utilized to identify five compounds as best binders to the active site of COX-2 structures and strongly agree with enormous experimental consequences. MD simulations of regarded protein–ligand complexes reveals that lead molecules were stabilized dynamically in inside the cyclooxygenase site by forming potential salt bridges with Tyr
348
, Tyr
385
and Ser
530
residues. These significant results revealed that, identified druggables could prevent the tyrosyl radicals and prostaglandin production that reduces NSCLC progression. Furthermore, pharmacokinetics assets of respected ligands were analyzed, which incorporates similarity ensemble approach, druglikeness and ADMET properties. Finally, the identified novel candidates could serve as COX-2 inhibitors for NSCLC therapy, and coxibs are the best choices for designing new scaffolds to treat cyclooxygenases regard disorders.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>29236213</pmid><doi>10.1007/s12539-017-0244-5</doi><tpages>17</tpages></addata></record> |
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subjects | Binders Biomedical and Life Sciences Computational Biology/Bioinformatics Computational Science and Engineering Computer Appl. in Life Sciences Computer simulation Coordination compounds COX-2 inhibitors Cyclooxygenase 2 - chemistry Cyclooxygenase 2 Inhibitors - chemistry Cyclooxygenase 2 Inhibitors - pharmacology Cyclooxygenase-2 Docking Drug discovery Drug Evaluation, Preclinical Drug Repositioning Female Health Sciences Humans Hydrogen Bonding Inhibitors Life Sciences Ligands Lung cancer Male Mathematical and Computational Physics Medicine Molecular Docking Simulation Molecular Dynamics Simulation Non-small cell lung carcinoma Original Research Article Pharmacokinetics Pharmacology Protein Structure, Secondary Scaffolds Side effects Statistics for Life Sciences Structure-Activity Relationship Theoretical Theoretical and Computational Chemistry Therapy X-ray diffraction |
title | Structural Probing, Screening and Structure-Based Drug Repositioning Insights into the Identification of Potential Cox-2 Inhibitors from Selective Coxibs |
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