Interaction of Cardiotoxins with Membranes: A Molecular Modeling Study
Incorporation of β-sheet proteins into membrane is studied theoretically for the first time, and the results are validated by the direct experimental data. Using Monte Carlo simulations with implicit membrane, we explore spatial structure, energetics, polarity, and mode of insertion of two cardiotox...
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Veröffentlicht in: | Biophysical journal 2002-07, Vol.83 (1), p.144-153 |
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description | Incorporation of β-sheet proteins into membrane is studied theoretically for the first time, and the results are validated by the direct experimental data. Using Monte Carlo simulations with implicit membrane, we explore spatial structure, energetics, polarity, and mode of insertion of two cardiotoxins with different membrane-destabilizing activity. Both proteins, classified as P- and S-type cardiotoxins, are found to retain the overall “three-finger” fold interacting with membrane core and lipid/water interface by the tips of the “fingers” (loops). The insertion critically depends upon the structure, hydrophobicity, and electrostatics of certain regions. The simulations reveal apparently distinct binding modes for S- and P-type cardiotoxins via the first loop or through all three loops, respectively. This rationalizes an earlier empirical classification of cardiotoxins into S- and P-type, and provides a basis for the analysis of experimental data on their membrane affinities. Accomplished with our previous simulations of membrane α-helices, the computational method may be used to study partitioning of proteins with diverse folds into lipid bilayers. |
doi_str_mv | 10.1016/S0006-3495(02)75156-4 |
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Using Monte Carlo simulations with implicit membrane, we explore spatial structure, energetics, polarity, and mode of insertion of two cardiotoxins with different membrane-destabilizing activity. Both proteins, classified as P- and S-type cardiotoxins, are found to retain the overall “three-finger” fold interacting with membrane core and lipid/water interface by the tips of the “fingers” (loops). The insertion critically depends upon the structure, hydrophobicity, and electrostatics of certain regions. The simulations reveal apparently distinct binding modes for S- and P-type cardiotoxins via the first loop or through all three loops, respectively. This rationalizes an earlier empirical classification of cardiotoxins into S- and P-type, and provides a basis for the analysis of experimental data on their membrane affinities. Accomplished with our previous simulations of membrane α-helices, the computational method may be used to study partitioning of proteins with diverse folds into lipid bilayers.</description><identifier>ISSN: 0006-3495</identifier><identifier>EISSN: 1542-0086</identifier><identifier>DOI: 10.1016/S0006-3495(02)75156-4</identifier><identifier>PMID: 12080107</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Amino Acid Sequence ; Animals ; Biochemistry ; Biophysics ; Biophysics - methods ; Cell Membrane - chemistry ; Cell Membrane - metabolism ; Cobra Cardiotoxin Proteins - chemistry ; Elapidae ; Heart ; Lipid Bilayers ; Micelles ; Models, Molecular ; Molecular biology ; Molecular Sequence Data ; Monte Carlo Method ; Protein Binding ; Protein Conformation ; Protein Structure, Secondary ; Proteins ; Sequence Homology, Amino Acid ; Software</subject><ispartof>Biophysical journal, 2002-07, Vol.83 (1), p.144-153</ispartof><rights>2002 The Biophysical Society</rights><rights>Copyright Biophysical Society Jul 2002</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c490t-4b91f93fe7f5ec756fb06a8aa85ab4baf368bf1cd08b18993dda44b01ea601423</citedby><cites>FETCH-LOGICAL-c490t-4b91f93fe7f5ec756fb06a8aa85ab4baf368bf1cd08b18993dda44b01ea601423</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1302134/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://dx.doi.org/10.1016/S0006-3495(02)75156-4$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,886,3551,27929,27930,46000,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12080107$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Efremov, Roman G.</creatorcontrib><creatorcontrib>Volynsky, Pavel E.</creatorcontrib><creatorcontrib>Nolde, Dmitry E.</creatorcontrib><creatorcontrib>Dubovskii, Peter V.</creatorcontrib><creatorcontrib>Arseniev, Alexander S.</creatorcontrib><title>Interaction of Cardiotoxins with Membranes: A Molecular Modeling Study</title><title>Biophysical journal</title><addtitle>Biophys J</addtitle><description>Incorporation of β-sheet proteins into membrane is studied theoretically for the first time, and the results are validated by the direct experimental data. Using Monte Carlo simulations with implicit membrane, we explore spatial structure, energetics, polarity, and mode of insertion of two cardiotoxins with different membrane-destabilizing activity. Both proteins, classified as P- and S-type cardiotoxins, are found to retain the overall “three-finger” fold interacting with membrane core and lipid/water interface by the tips of the “fingers” (loops). The insertion critically depends upon the structure, hydrophobicity, and electrostatics of certain regions. The simulations reveal apparently distinct binding modes for S- and P-type cardiotoxins via the first loop or through all three loops, respectively. This rationalizes an earlier empirical classification of cardiotoxins into S- and P-type, and provides a basis for the analysis of experimental data on their membrane affinities. Accomplished with our previous simulations of membrane α-helices, the computational method may be used to study partitioning of proteins with diverse folds into lipid bilayers.</description><subject>Amino Acid Sequence</subject><subject>Animals</subject><subject>Biochemistry</subject><subject>Biophysics</subject><subject>Biophysics - methods</subject><subject>Cell Membrane - chemistry</subject><subject>Cell Membrane - metabolism</subject><subject>Cobra Cardiotoxin Proteins - chemistry</subject><subject>Elapidae</subject><subject>Heart</subject><subject>Lipid Bilayers</subject><subject>Micelles</subject><subject>Models, Molecular</subject><subject>Molecular biology</subject><subject>Molecular Sequence Data</subject><subject>Monte Carlo Method</subject><subject>Protein Binding</subject><subject>Protein Conformation</subject><subject>Protein Structure, Secondary</subject><subject>Proteins</subject><subject>Sequence Homology, Amino Acid</subject><subject>Software</subject><issn>0006-3495</issn><issn>1542-0086</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkc1u1DAURi0EokPhEUARCwSLlHsT23FYgKpRC5VasSisLdu5aV1l7NZO-vP2zXRGBbphZUs-_nw_H8beIuwhoPx8CgCyrHkrPkL1qREoZMmfsQUKXpUASj5ni0dkh73K-QIAKwH4ku1gBQoQmgU7PAojJeNGH0MR-2JpUufjGG99yMWNH8-LE1rZZALlL8V-cRIHctNg0rzraPDhrDgdp-7uNXvRmyHTm-26y34fHvxa_iiPf34_Wu4fl463MJbctti3dU9NL8g1QvYWpFHGKGEst6avpbI9ug6URdW2ddcZzi0gGQnIq3qXfd3kXk52RZ2jMCYz6MvkVybd6Wi8_vck-HN9Fq811lBhzeeAD9uAFK8myqNe-exoGOaGccq6QcUlSjWD75-AF3FKYS6nKxQNIigxQ2IDuRRzTtQ_ToKg15r0gya9dqCh0g-a9HqKd3_X-HNr62UGvm0Amj_z2lPS2XkKjjqfyI26i_4_T9wD8l6ipQ</recordid><startdate>20020701</startdate><enddate>20020701</enddate><creator>Efremov, Roman G.</creator><creator>Volynsky, Pavel E.</creator><creator>Nolde, Dmitry E.</creator><creator>Dubovskii, Peter V.</creator><creator>Arseniev, Alexander S.</creator><general>Elsevier Inc</general><general>Biophysical Society</general><scope>6I.</scope><scope>AAFTH</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>3V.</scope><scope>7QO</scope><scope>7QP</scope><scope>7TK</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</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>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>M7P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20020701</creationdate><title>Interaction of Cardiotoxins with Membranes: A Molecular Modeling Study</title><author>Efremov, Roman G. ; Volynsky, Pavel E. ; Nolde, Dmitry E. ; Dubovskii, Peter V. ; Arseniev, Alexander S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c490t-4b91f93fe7f5ec756fb06a8aa85ab4baf368bf1cd08b18993dda44b01ea601423</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Amino Acid Sequence</topic><topic>Animals</topic><topic>Biochemistry</topic><topic>Biophysics</topic><topic>Biophysics - methods</topic><topic>Cell Membrane - chemistry</topic><topic>Cell Membrane - metabolism</topic><topic>Cobra Cardiotoxin Proteins - chemistry</topic><topic>Elapidae</topic><topic>Heart</topic><topic>Lipid Bilayers</topic><topic>Micelles</topic><topic>Models, Molecular</topic><topic>Molecular biology</topic><topic>Molecular Sequence Data</topic><topic>Monte Carlo Method</topic><topic>Protein Binding</topic><topic>Protein Conformation</topic><topic>Protein Structure, Secondary</topic><topic>Proteins</topic><topic>Sequence Homology, Amino Acid</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Efremov, Roman G.</creatorcontrib><creatorcontrib>Volynsky, Pavel E.</creatorcontrib><creatorcontrib>Nolde, Dmitry E.</creatorcontrib><creatorcontrib>Dubovskii, Peter V.</creatorcontrib><creatorcontrib>Arseniev, Alexander S.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Biophysical journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Efremov, Roman G.</au><au>Volynsky, Pavel E.</au><au>Nolde, Dmitry E.</au><au>Dubovskii, Peter V.</au><au>Arseniev, Alexander S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Interaction of Cardiotoxins with Membranes: A Molecular Modeling Study</atitle><jtitle>Biophysical journal</jtitle><addtitle>Biophys J</addtitle><date>2002-07-01</date><risdate>2002</risdate><volume>83</volume><issue>1</issue><spage>144</spage><epage>153</epage><pages>144-153</pages><issn>0006-3495</issn><eissn>1542-0086</eissn><abstract>Incorporation of β-sheet proteins into membrane is studied theoretically for the first time, and the results are validated by the direct experimental data. Using Monte Carlo simulations with implicit membrane, we explore spatial structure, energetics, polarity, and mode of insertion of two cardiotoxins with different membrane-destabilizing activity. Both proteins, classified as P- and S-type cardiotoxins, are found to retain the overall “three-finger” fold interacting with membrane core and lipid/water interface by the tips of the “fingers” (loops). The insertion critically depends upon the structure, hydrophobicity, and electrostatics of certain regions. The simulations reveal apparently distinct binding modes for S- and P-type cardiotoxins via the first loop or through all three loops, respectively. This rationalizes an earlier empirical classification of cardiotoxins into S- and P-type, and provides a basis for the analysis of experimental data on their membrane affinities. Accomplished with our previous simulations of membrane α-helices, the computational method may be used to study partitioning of proteins with diverse folds into lipid bilayers.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>12080107</pmid><doi>10.1016/S0006-3495(02)75156-4</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Amino Acid Sequence Animals Biochemistry Biophysics Biophysics - methods Cell Membrane - chemistry Cell Membrane - metabolism Cobra Cardiotoxin Proteins - chemistry Elapidae Heart Lipid Bilayers Micelles Models, Molecular Molecular biology Molecular Sequence Data Monte Carlo Method Protein Binding Protein Conformation Protein Structure, Secondary Proteins Sequence Homology, Amino Acid Software |
title | Interaction of Cardiotoxins with Membranes: A Molecular Modeling Study |
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