In silico study of 1-(4-Phenylpiperazin-1-yl)-2-(1H-pyrazol-1-yl) ethanones derivatives as CCR1 antagonist: Homology modeling, docking and 3D-QSAR approach

[Display omitted] C–C chemokine receptor type 1 (CCR1) is a chemokine receptor with seven transmembrane helices and it belongs to the G-Protein Coupled receptor (GPCR) family. It plays an important role in rheumatoid arthritis, organ transplant rejection, Alzheimer’s disease and also causes inflamma...

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Veröffentlicht in:Bioorganic & medicinal chemistry letters 2014-02, Vol.24 (3), p.928-933
Hauptverfasser: Balasubramanian, Pavithra K., Balupuri, Anand, Kothandan, Gugan, Cho, Seung Joo
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container_end_page 933
container_issue 3
container_start_page 928
container_title Bioorganic & medicinal chemistry letters
container_volume 24
creator Balasubramanian, Pavithra K.
Balupuri, Anand
Kothandan, Gugan
Cho, Seung Joo
description [Display omitted] C–C chemokine receptor type 1 (CCR1) is a chemokine receptor with seven transmembrane helices and it belongs to the G-Protein Coupled receptor (GPCR) family. It plays an important role in rheumatoid arthritis, organ transplant rejection, Alzheimer’s disease and also causes inflammation. Because of its role in disease processes, CCR1 is considered to be an important drug target. In the present study, we have performed three dimensional Quantitative Structure activity relationship (3D-QSAR) studies on a series of 1-(4-Phenylpiperazin-1-yl)-2-(1H-pyrazol-1-yl) ethanone derivatives targeting CCR1. Homology modeling of CCR1 was performed based on a template structure (4EA3) which has a high sequence identity and resolution. The highest active molecule was docked into this model. Ligand-based and Receptor-based quantitative structure–activity relationship (QSAR) study was performed and CoMFA models with reasonable statistics was developed for both ligand-based (q2=0.606; r2=0.968) and receptor-guided (q2=0.640; r2=0.932) alignment methods. Contour map analyses identified favorable regions for high affinity binding. The docking results highlighted the important active site residues. Tyr113 was found to interact with the ligand through hydrogen bonding. This residue has been considered responsible for anchoring ligands inside the active site. Our results could also be helpful to understand the inhibitory mechanism of 1-(4-Phenylpiperazin-1-yl)-2-(1H-pyrazol-1-yl) ethanone derivatives thereby to design more effective ligands in the future.
doi_str_mv 10.1016/j.bmcl.2013.12.065
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The docking results highlighted the important active site residues. Tyr113 was found to interact with the ligand through hydrogen bonding. This residue has been considered responsible for anchoring ligands inside the active site. 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It plays an important role in rheumatoid arthritis, organ transplant rejection, Alzheimer’s disease and also causes inflammation. Because of its role in disease processes, CCR1 is considered to be an important drug target. In the present study, we have performed three dimensional Quantitative Structure activity relationship (3D-QSAR) studies on a series of 1-(4-Phenylpiperazin-1-yl)-2-(1H-pyrazol-1-yl) ethanone derivatives targeting CCR1. Homology modeling of CCR1 was performed based on a template structure (4EA3) which has a high sequence identity and resolution. The highest active molecule was docked into this model. Ligand-based and Receptor-based quantitative structure–activity relationship (QSAR) study was performed and CoMFA models with reasonable statistics was developed for both ligand-based (q2=0.606; r2=0.968) and receptor-guided (q2=0.640; r2=0.932) alignment methods. Contour map analyses identified favorable regions for high affinity binding. The docking results highlighted the important active site residues. Tyr113 was found to interact with the ligand through hydrogen bonding. This residue has been considered responsible for anchoring ligands inside the active site. Our results could also be helpful to understand the inhibitory mechanism of 1-(4-Phenylpiperazin-1-yl)-2-(1H-pyrazol-1-yl) ethanone derivatives thereby to design more effective ligands in the future.</description><subject>3D-QSAR</subject><subject>Catalytic Domain</subject><subject>CCR1</subject><subject>Computer Simulation</subject><subject>Docking</subject><subject>Homology modeling</subject><subject>Humans</subject><subject>Ligands</subject><subject>Models, Chemical</subject><subject>Molecular Structure</subject><subject>Pyrazoles - chemical synthesis</subject><subject>Pyrazoles - chemistry</subject><subject>Pyrazoles - pharmacology</subject><subject>Quantitative Structure-Activity Relationship</subject><subject>Receptor-guided CoMFA</subject><subject>Receptors, CCR1 - antagonists &amp; inhibitors</subject><issn>0960-894X</issn><issn>1464-3405</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc-O0zAQhy0EYsvCC3BAPhYJB4_tJA3isip_utJKwAISN8uxndbFsUOcVgqvwsviqgtHuNij0Te_keZD6CnQAihUL_dF22tfMAq8AFbQqryHFiAqQbig5X20oE1FyaoR3y7Qo5T2lIKgQjxEF0wIJoDDAv26Djg573TEaTqYGccOA1kK8nFnw-wHN9hR_XSBAJn9c8LIEjZkmHMv-nMP22mnQgw2YWNHd1STO-ZaJbxe3wJWYVLbGFyaXuFN7KOP2xn30VjvwvYFNlF_z0XGDOZvyKfPV7dYDcMYld49Rg865ZN9cvdfoq_v3n5Zb8jNh_fX66sbovmqmUhXG8VXjBoBwirDbCfKtuK6rHWbXzBNxUzXNCvoKDMUas3Lui1N23XU1ozzS7Q85-a1Pw42TbJ3SVvvVbDxkCSUUNUlQNX8HxUNq_OdeZlRdkb1GFMabSeH0fVqnCVQefIn9_LkT578SWAy-8tDz-7yD21vzd-RP8Iy8PoM2HyQo7OjTNrZoK1xo9WTNNH9K_83YFOqpg</recordid><startdate>20140201</startdate><enddate>20140201</enddate><creator>Balasubramanian, Pavithra K.</creator><creator>Balupuri, Anand</creator><creator>Kothandan, Gugan</creator><creator>Cho, Seung Joo</creator><general>Elsevier Ltd</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>7X8</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>20140201</creationdate><title>In silico study of 1-(4-Phenylpiperazin-1-yl)-2-(1H-pyrazol-1-yl) ethanones derivatives as CCR1 antagonist: Homology modeling, docking and 3D-QSAR approach</title><author>Balasubramanian, Pavithra K. ; Balupuri, Anand ; Kothandan, Gugan ; Cho, Seung Joo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c389t-f7da3820d414ead2ef45b63c57cb3c51d962df9981f02d017c357b5dbff0e7233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>3D-QSAR</topic><topic>Catalytic Domain</topic><topic>CCR1</topic><topic>Computer Simulation</topic><topic>Docking</topic><topic>Homology modeling</topic><topic>Humans</topic><topic>Ligands</topic><topic>Models, Chemical</topic><topic>Molecular Structure</topic><topic>Pyrazoles - chemical synthesis</topic><topic>Pyrazoles - chemistry</topic><topic>Pyrazoles - pharmacology</topic><topic>Quantitative Structure-Activity Relationship</topic><topic>Receptor-guided CoMFA</topic><topic>Receptors, CCR1 - antagonists &amp; inhibitors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Balasubramanian, Pavithra K.</creatorcontrib><creatorcontrib>Balupuri, Anand</creatorcontrib><creatorcontrib>Kothandan, Gugan</creatorcontrib><creatorcontrib>Cho, Seung Joo</creatorcontrib><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><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Bioorganic &amp; medicinal chemistry letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Balasubramanian, Pavithra K.</au><au>Balupuri, Anand</au><au>Kothandan, Gugan</au><au>Cho, Seung Joo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In silico study of 1-(4-Phenylpiperazin-1-yl)-2-(1H-pyrazol-1-yl) ethanones derivatives as CCR1 antagonist: Homology modeling, docking and 3D-QSAR approach</atitle><jtitle>Bioorganic &amp; medicinal chemistry letters</jtitle><addtitle>Bioorg Med Chem Lett</addtitle><date>2014-02-01</date><risdate>2014</risdate><volume>24</volume><issue>3</issue><spage>928</spage><epage>933</epage><pages>928-933</pages><issn>0960-894X</issn><eissn>1464-3405</eissn><abstract>[Display omitted] C–C chemokine receptor type 1 (CCR1) is a chemokine receptor with seven transmembrane helices and it belongs to the G-Protein Coupled receptor (GPCR) family. 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subjects 3D-QSAR
Catalytic Domain
CCR1
Computer Simulation
Docking
Homology modeling
Humans
Ligands
Models, Chemical
Molecular Structure
Pyrazoles - chemical synthesis
Pyrazoles - chemistry
Pyrazoles - pharmacology
Quantitative Structure-Activity Relationship
Receptor-guided CoMFA
Receptors, CCR1 - antagonists & inhibitors
title In silico study of 1-(4-Phenylpiperazin-1-yl)-2-(1H-pyrazol-1-yl) ethanones derivatives as CCR1 antagonist: Homology modeling, docking and 3D-QSAR approach
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