Computational modelling and optimization studies of electropentamer for molecular imprinting of DJ-1
Parkinson's disease (PD) is the most prevalent type of incurable movement disorder. Recent research findings propose that the familial PD-associated molecule DJ-1 exists in cerebrospinal fluid (CSF) and that its levels may be altered as Parkinson's disease advances. By using a molecularly...
Gespeichert in:
Veröffentlicht in: | Journal of molecular graphics & modelling 2024-05, Vol.128, p.108715-108715, Article 108715 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 108715 |
---|---|
container_issue | |
container_start_page | 108715 |
container_title | Journal of molecular graphics & modelling |
container_volume | 128 |
creator | Dhinesh Kumar, Marimuthu Karthikeyan, Murugesan Kaniraja, Ganesan Muthukumar, Kaliappan Muneeswaran, Gurusamy Karunakaran, Chandran |
description | Parkinson's disease (PD) is the most prevalent type of incurable movement disorder. Recent research findings propose that the familial PD-associated molecule DJ-1 exists in cerebrospinal fluid (CSF) and that its levels may be altered as Parkinson's disease advances. By using a molecularly imprinted polymer (MIP) as an artificial receptor, it becomes possible to create a functional MIP with predetermined selectivity for various templates, particularly for the DJ-1 biomarker associated with Parkinson's disease. It mostly depends on molecular recognition via interactions between functional monomers and template molecules. So, the computational methods for the appropriate choice of functional monomers for creating molecular imprinting electropolymers (MIEPs) with particular recognition for the detection of DJ-1, a pivotal biomarker involved in PD, are undertaken in this study. Here, molecular docking, molecular dynamics simulations (MD), molecular mechanics Poisson–Boltzmann surface area (MM-PBSA) methods, and quantum mechanical calculation have been applied to investigate the intermolecular interaction between DJ-1 and several functional electropentamers, viz., polypyrrole (PPy), poly(3,4-ethylenedioxythiophene) (PEDOT), poly(o-aminophenol) (POAP), and polythiophene (PTS). In this context, the electropentamers were selected to mimic the imprinted electropolymer system. We analyzed the most stable configurations of the formed complexes involving DJ-1 and electropentamers as a model system for MIEPs. Among these, PEDOT exhibited a more uniform arrangement around DJ-1, engaging in numerous van der Waals, H-bond, electrostatic, and hydrophobic interactions. Hence, it can be regarded as a preferable choice for synthesizing a MIP for DJ-1 recognition. Thus, it will aid in selecting a suitable functional monomer, which is of greater significance in the design and development of selective DJ-1/MIP sensors.
[Display omitted]
•MD simulations performed on optimal binding pose selected via AutoDock for electropentamer/DJ-1 complex.•PEDOT forms a robust DJ-1 complex, indicated by low RMSD and RMSF, and stable hydrogen bonds.•MMPBSA analysis show PEDOT having strong binding free energy through electrostatic, van der Waals interaction.•Based on the studies, PEDOT could be the suitable monomer for DJ-1/MIP sensor.•These computational methods thus assist in selecting functional monomer for MIP sensor design. |
doi_str_mv | 10.1016/j.jmgm.2024.108715 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2929128459</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1093326324000159</els_id><sourcerecordid>2929128459</sourcerecordid><originalsourceid>FETCH-LOGICAL-c307t-a8a512127a33064976f116728bc058899e2705af19f04613ae4ea7b4b68496d03</originalsourceid><addsrcrecordid>eNp9kLtOxDAQRS0E4rHwAxQoJU0WvxLbEg1a3kKigdryJpOVV3EcbAcJvh4vC5RUM5q592rmIHRK8JxgUl-s52u3cnOKKc8DKUi1gw6JFKzklLPd3GPFSkZrdoCOYlxjjJnEYh8dMMlwLRQ-RO3Cu3FKJlk_mL5wvoW-t8OqMENb-DFZZz-_l0VMU2shFr4roIcmBT_CkIyDUHQ-ZGceTr0JhXVjsEPahGTt9WNJjtFeZ_oIJz91hl5vb14W9-XT893D4uqpbBgWqTTSVIQSKgzL53El6o6QWlC5bHAlpVJABa5MR1SHeU2YAQ5GLPmyllzVLWYzdL7NHYN_myAm7Wxs8kNmAD9FTRVVhEpeqSylW2kTfIwBOp2PdiZ8aIL1hq5e6w1dvaGrt3Sz6ewnf1o6aP8svziz4HIrgPzlu4WgY2NhaKC1ISPTrbf_5X8B346LSw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2929128459</pqid></control><display><type>article</type><title>Computational modelling and optimization studies of electropentamer for molecular imprinting of DJ-1</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Dhinesh Kumar, Marimuthu ; Karthikeyan, Murugesan ; Kaniraja, Ganesan ; Muthukumar, Kaliappan ; Muneeswaran, Gurusamy ; Karunakaran, Chandran</creator><creatorcontrib>Dhinesh Kumar, Marimuthu ; Karthikeyan, Murugesan ; Kaniraja, Ganesan ; Muthukumar, Kaliappan ; Muneeswaran, Gurusamy ; Karunakaran, Chandran</creatorcontrib><description>Parkinson's disease (PD) is the most prevalent type of incurable movement disorder. Recent research findings propose that the familial PD-associated molecule DJ-1 exists in cerebrospinal fluid (CSF) and that its levels may be altered as Parkinson's disease advances. By using a molecularly imprinted polymer (MIP) as an artificial receptor, it becomes possible to create a functional MIP with predetermined selectivity for various templates, particularly for the DJ-1 biomarker associated with Parkinson's disease. It mostly depends on molecular recognition via interactions between functional monomers and template molecules. So, the computational methods for the appropriate choice of functional monomers for creating molecular imprinting electropolymers (MIEPs) with particular recognition for the detection of DJ-1, a pivotal biomarker involved in PD, are undertaken in this study. Here, molecular docking, molecular dynamics simulations (MD), molecular mechanics Poisson–Boltzmann surface area (MM-PBSA) methods, and quantum mechanical calculation have been applied to investigate the intermolecular interaction between DJ-1 and several functional electropentamers, viz., polypyrrole (PPy), poly(3,4-ethylenedioxythiophene) (PEDOT), poly(o-aminophenol) (POAP), and polythiophene (PTS). In this context, the electropentamers were selected to mimic the imprinted electropolymer system. We analyzed the most stable configurations of the formed complexes involving DJ-1 and electropentamers as a model system for MIEPs. Among these, PEDOT exhibited a more uniform arrangement around DJ-1, engaging in numerous van der Waals, H-bond, electrostatic, and hydrophobic interactions. Hence, it can be regarded as a preferable choice for synthesizing a MIP for DJ-1 recognition. Thus, it will aid in selecting a suitable functional monomer, which is of greater significance in the design and development of selective DJ-1/MIP sensors.
[Display omitted]
•MD simulations performed on optimal binding pose selected via AutoDock for electropentamer/DJ-1 complex.•PEDOT forms a robust DJ-1 complex, indicated by low RMSD and RMSF, and stable hydrogen bonds.•MMPBSA analysis show PEDOT having strong binding free energy through electrostatic, van der Waals interaction.•Based on the studies, PEDOT could be the suitable monomer for DJ-1/MIP sensor.•These computational methods thus assist in selecting functional monomer for MIP sensor design.</description><identifier>ISSN: 1093-3263</identifier><identifier>EISSN: 1873-4243</identifier><identifier>DOI: 10.1016/j.jmgm.2024.108715</identifier><identifier>PMID: 38306790</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>AutoDock ; MIPs ; Molecular dynamic simulation ; Neuronal disease biomarker ; Oniom calculation</subject><ispartof>Journal of molecular graphics & modelling, 2024-05, Vol.128, p.108715-108715, Article 108715</ispartof><rights>2024 Elsevier Inc.</rights><rights>Copyright © 2024 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c307t-a8a512127a33064976f116728bc058899e2705af19f04613ae4ea7b4b68496d03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jmgm.2024.108715$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38306790$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dhinesh Kumar, Marimuthu</creatorcontrib><creatorcontrib>Karthikeyan, Murugesan</creatorcontrib><creatorcontrib>Kaniraja, Ganesan</creatorcontrib><creatorcontrib>Muthukumar, Kaliappan</creatorcontrib><creatorcontrib>Muneeswaran, Gurusamy</creatorcontrib><creatorcontrib>Karunakaran, Chandran</creatorcontrib><title>Computational modelling and optimization studies of electropentamer for molecular imprinting of DJ-1</title><title>Journal of molecular graphics & modelling</title><addtitle>J Mol Graph Model</addtitle><description>Parkinson's disease (PD) is the most prevalent type of incurable movement disorder. Recent research findings propose that the familial PD-associated molecule DJ-1 exists in cerebrospinal fluid (CSF) and that its levels may be altered as Parkinson's disease advances. By using a molecularly imprinted polymer (MIP) as an artificial receptor, it becomes possible to create a functional MIP with predetermined selectivity for various templates, particularly for the DJ-1 biomarker associated with Parkinson's disease. It mostly depends on molecular recognition via interactions between functional monomers and template molecules. So, the computational methods for the appropriate choice of functional monomers for creating molecular imprinting electropolymers (MIEPs) with particular recognition for the detection of DJ-1, a pivotal biomarker involved in PD, are undertaken in this study. Here, molecular docking, molecular dynamics simulations (MD), molecular mechanics Poisson–Boltzmann surface area (MM-PBSA) methods, and quantum mechanical calculation have been applied to investigate the intermolecular interaction between DJ-1 and several functional electropentamers, viz., polypyrrole (PPy), poly(3,4-ethylenedioxythiophene) (PEDOT), poly(o-aminophenol) (POAP), and polythiophene (PTS). In this context, the electropentamers were selected to mimic the imprinted electropolymer system. We analyzed the most stable configurations of the formed complexes involving DJ-1 and electropentamers as a model system for MIEPs. Among these, PEDOT exhibited a more uniform arrangement around DJ-1, engaging in numerous van der Waals, H-bond, electrostatic, and hydrophobic interactions. Hence, it can be regarded as a preferable choice for synthesizing a MIP for DJ-1 recognition. Thus, it will aid in selecting a suitable functional monomer, which is of greater significance in the design and development of selective DJ-1/MIP sensors.
[Display omitted]
•MD simulations performed on optimal binding pose selected via AutoDock for electropentamer/DJ-1 complex.•PEDOT forms a robust DJ-1 complex, indicated by low RMSD and RMSF, and stable hydrogen bonds.•MMPBSA analysis show PEDOT having strong binding free energy through electrostatic, van der Waals interaction.•Based on the studies, PEDOT could be the suitable monomer for DJ-1/MIP sensor.•These computational methods thus assist in selecting functional monomer for MIP sensor design.</description><subject>AutoDock</subject><subject>MIPs</subject><subject>Molecular dynamic simulation</subject><subject>Neuronal disease biomarker</subject><subject>Oniom calculation</subject><issn>1093-3263</issn><issn>1873-4243</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kLtOxDAQRS0E4rHwAxQoJU0WvxLbEg1a3kKigdryJpOVV3EcbAcJvh4vC5RUM5q592rmIHRK8JxgUl-s52u3cnOKKc8DKUi1gw6JFKzklLPd3GPFSkZrdoCOYlxjjJnEYh8dMMlwLRQ-RO3Cu3FKJlk_mL5wvoW-t8OqMENb-DFZZz-_l0VMU2shFr4roIcmBT_CkIyDUHQ-ZGceTr0JhXVjsEPahGTt9WNJjtFeZ_oIJz91hl5vb14W9-XT893D4uqpbBgWqTTSVIQSKgzL53El6o6QWlC5bHAlpVJABa5MR1SHeU2YAQ5GLPmyllzVLWYzdL7NHYN_myAm7Wxs8kNmAD9FTRVVhEpeqSylW2kTfIwBOp2PdiZ8aIL1hq5e6w1dvaGrt3Sz6ewnf1o6aP8svziz4HIrgPzlu4WgY2NhaKC1ISPTrbf_5X8B346LSw</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>Dhinesh Kumar, Marimuthu</creator><creator>Karthikeyan, Murugesan</creator><creator>Kaniraja, Ganesan</creator><creator>Muthukumar, Kaliappan</creator><creator>Muneeswaran, Gurusamy</creator><creator>Karunakaran, Chandran</creator><general>Elsevier Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20240501</creationdate><title>Computational modelling and optimization studies of electropentamer for molecular imprinting of DJ-1</title><author>Dhinesh Kumar, Marimuthu ; Karthikeyan, Murugesan ; Kaniraja, Ganesan ; Muthukumar, Kaliappan ; Muneeswaran, Gurusamy ; Karunakaran, Chandran</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c307t-a8a512127a33064976f116728bc058899e2705af19f04613ae4ea7b4b68496d03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>AutoDock</topic><topic>MIPs</topic><topic>Molecular dynamic simulation</topic><topic>Neuronal disease biomarker</topic><topic>Oniom calculation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dhinesh Kumar, Marimuthu</creatorcontrib><creatorcontrib>Karthikeyan, Murugesan</creatorcontrib><creatorcontrib>Kaniraja, Ganesan</creatorcontrib><creatorcontrib>Muthukumar, Kaliappan</creatorcontrib><creatorcontrib>Muneeswaran, Gurusamy</creatorcontrib><creatorcontrib>Karunakaran, Chandran</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of molecular graphics & modelling</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dhinesh Kumar, Marimuthu</au><au>Karthikeyan, Murugesan</au><au>Kaniraja, Ganesan</au><au>Muthukumar, Kaliappan</au><au>Muneeswaran, Gurusamy</au><au>Karunakaran, Chandran</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computational modelling and optimization studies of electropentamer for molecular imprinting of DJ-1</atitle><jtitle>Journal of molecular graphics & modelling</jtitle><addtitle>J Mol Graph Model</addtitle><date>2024-05-01</date><risdate>2024</risdate><volume>128</volume><spage>108715</spage><epage>108715</epage><pages>108715-108715</pages><artnum>108715</artnum><issn>1093-3263</issn><eissn>1873-4243</eissn><abstract>Parkinson's disease (PD) is the most prevalent type of incurable movement disorder. Recent research findings propose that the familial PD-associated molecule DJ-1 exists in cerebrospinal fluid (CSF) and that its levels may be altered as Parkinson's disease advances. By using a molecularly imprinted polymer (MIP) as an artificial receptor, it becomes possible to create a functional MIP with predetermined selectivity for various templates, particularly for the DJ-1 biomarker associated with Parkinson's disease. It mostly depends on molecular recognition via interactions between functional monomers and template molecules. So, the computational methods for the appropriate choice of functional monomers for creating molecular imprinting electropolymers (MIEPs) with particular recognition for the detection of DJ-1, a pivotal biomarker involved in PD, are undertaken in this study. Here, molecular docking, molecular dynamics simulations (MD), molecular mechanics Poisson–Boltzmann surface area (MM-PBSA) methods, and quantum mechanical calculation have been applied to investigate the intermolecular interaction between DJ-1 and several functional electropentamers, viz., polypyrrole (PPy), poly(3,4-ethylenedioxythiophene) (PEDOT), poly(o-aminophenol) (POAP), and polythiophene (PTS). In this context, the electropentamers were selected to mimic the imprinted electropolymer system. We analyzed the most stable configurations of the formed complexes involving DJ-1 and electropentamers as a model system for MIEPs. Among these, PEDOT exhibited a more uniform arrangement around DJ-1, engaging in numerous van der Waals, H-bond, electrostatic, and hydrophobic interactions. Hence, it can be regarded as a preferable choice for synthesizing a MIP for DJ-1 recognition. Thus, it will aid in selecting a suitable functional monomer, which is of greater significance in the design and development of selective DJ-1/MIP sensors.
[Display omitted]
•MD simulations performed on optimal binding pose selected via AutoDock for electropentamer/DJ-1 complex.•PEDOT forms a robust DJ-1 complex, indicated by low RMSD and RMSF, and stable hydrogen bonds.•MMPBSA analysis show PEDOT having strong binding free energy through electrostatic, van der Waals interaction.•Based on the studies, PEDOT could be the suitable monomer for DJ-1/MIP sensor.•These computational methods thus assist in selecting functional monomer for MIP sensor design.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>38306790</pmid><doi>10.1016/j.jmgm.2024.108715</doi><tpages>1</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1093-3263 |
ispartof | Journal of molecular graphics & modelling, 2024-05, Vol.128, p.108715-108715, Article 108715 |
issn | 1093-3263 1873-4243 |
language | eng |
recordid | cdi_proquest_miscellaneous_2929128459 |
source | Elsevier ScienceDirect Journals Complete |
subjects | AutoDock MIPs Molecular dynamic simulation Neuronal disease biomarker Oniom calculation |
title | Computational modelling and optimization studies of electropentamer for molecular imprinting of DJ-1 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T18%3A08%3A31IST&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=Computational%20modelling%20and%20optimization%20studies%20of%20electropentamer%20for%20molecular%20imprinting%20of%20DJ-1&rft.jtitle=Journal%20of%20molecular%20graphics%20&%20modelling&rft.au=Dhinesh%20Kumar,%20Marimuthu&rft.date=2024-05-01&rft.volume=128&rft.spage=108715&rft.epage=108715&rft.pages=108715-108715&rft.artnum=108715&rft.issn=1093-3263&rft.eissn=1873-4243&rft_id=info:doi/10.1016/j.jmgm.2024.108715&rft_dat=%3Cproquest_cross%3E2929128459%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=2929128459&rft_id=info:pmid/38306790&rft_els_id=S1093326324000159&rfr_iscdi=true |