Modeling Subunit Cooperativity in Opening of Tetrameric Ion Channels
Most potassium channels are tetramers of four homologous polypeptides (subunits). During channel gating, each subunit undergoes several conformational changes independent of the state of other subunits before reaching a permissive state, from which the channel can open. However, transition from the...
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description | Most potassium channels are tetramers of four homologous polypeptides (subunits). During channel gating, each subunit undergoes several conformational changes independent of the state of other subunits before reaching a permissive state, from which the channel can open. However, transition from the permissive states to the open state involves a concerted movement of all subunits. This cooperative transition must be included in Markov models of channel gating. Previously, it was implemented by considering all possible combinations of four subunit states in a much larger expanded model of channel states (e.g., 27,405 channel states versus 64 subunit states), which complicates modeling and is computationally intense, especially when accurate modeling requires a large number of subunit states. To overcome these complexities and retain the tetrameric molecular structure, a modeling approach was developed to incorporate the cooperative transition directly from the subunit models. In this approach, the open state is separated from the subunit models and represented by the net flux between the open state and the permissive states. Dynamic variations of the probability of state residencies computed using this direct approach and the expanded model were identical. Implementation of the direct approach is simple and its computational time is orders-of-magnitude shorter than the equivalent expanded model. |
doi_str_mv | 10.1529/biophysj.108.136721 |
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During channel gating, each subunit undergoes several conformational changes independent of the state of other subunits before reaching a permissive state, from which the channel can open. However, transition from the permissive states to the open state involves a concerted movement of all subunits. This cooperative transition must be included in Markov models of channel gating. Previously, it was implemented by considering all possible combinations of four subunit states in a much larger expanded model of channel states (e.g., 27,405 channel states versus 64 subunit states), which complicates modeling and is computationally intense, especially when accurate modeling requires a large number of subunit states. To overcome these complexities and retain the tetrameric molecular structure, a modeling approach was developed to incorporate the cooperative transition directly from the subunit models. In this approach, the open state is separated from the subunit models and represented by the net flux between the open state and the permissive states. Dynamic variations of the probability of state residencies computed using this direct approach and the expanded model were identical. Implementation of the direct approach is simple and its computational time is orders-of-magnitude shorter than the equivalent expanded model.</description><identifier>ISSN: 0006-3495</identifier><identifier>EISSN: 1542-0086</identifier><identifier>DOI: 10.1529/biophysj.108.136721</identifier><identifier>PMID: 18621838</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Allosteric Regulation ; Biophysics ; Channels ; Computation ; Electrophysiology ; Equivalence ; Flux ; Gating and risering ; Ion Channel Gating ; Ion channels ; Ions ; Markov analysis ; Markov Chains ; Markov models ; Models, Biological ; Molecular structure ; Potassium ; Potassium Channels - chemistry ; Potassium Channels - metabolism ; Protein Binding</subject><ispartof>Biophysical journal, 2008-10, Vol.95 (7), p.3510-3520</ispartof><rights>2008 The Biophysical Society</rights><rights>Copyright Biophysical Society Oct 1, 2008</rights><rights>Copyright © 2008, Biophysical Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c516t-361f831be1b55febdf03161702588073dfd68192c9286c49b31c41de4d2362493</citedby><cites>FETCH-LOGICAL-c516t-361f831be1b55febdf03161702588073dfd68192c9286c49b31c41de4d2362493</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/PMC2547442/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0006349508784935$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,3537,27901,27902,53766,53768,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18621838$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nekouzadeh, Ali</creatorcontrib><creatorcontrib>Silva, Jonathan R.</creatorcontrib><creatorcontrib>Rudy, Yoram</creatorcontrib><title>Modeling Subunit Cooperativity in Opening of Tetrameric Ion Channels</title><title>Biophysical journal</title><addtitle>Biophys J</addtitle><description>Most potassium channels are tetramers of four homologous polypeptides (subunits). During channel gating, each subunit undergoes several conformational changes independent of the state of other subunits before reaching a permissive state, from which the channel can open. However, transition from the permissive states to the open state involves a concerted movement of all subunits. This cooperative transition must be included in Markov models of channel gating. Previously, it was implemented by considering all possible combinations of four subunit states in a much larger expanded model of channel states (e.g., 27,405 channel states versus 64 subunit states), which complicates modeling and is computationally intense, especially when accurate modeling requires a large number of subunit states. To overcome these complexities and retain the tetrameric molecular structure, a modeling approach was developed to incorporate the cooperative transition directly from the subunit models. In this approach, the open state is separated from the subunit models and represented by the net flux between the open state and the permissive states. Dynamic variations of the probability of state residencies computed using this direct approach and the expanded model were identical. Implementation of the direct approach is simple and its computational time is orders-of-magnitude shorter than the equivalent expanded model.</description><subject>Allosteric Regulation</subject><subject>Biophysics</subject><subject>Channels</subject><subject>Computation</subject><subject>Electrophysiology</subject><subject>Equivalence</subject><subject>Flux</subject><subject>Gating and risering</subject><subject>Ion Channel Gating</subject><subject>Ion channels</subject><subject>Ions</subject><subject>Markov analysis</subject><subject>Markov Chains</subject><subject>Markov models</subject><subject>Models, Biological</subject><subject>Molecular structure</subject><subject>Potassium</subject><subject>Potassium Channels - chemistry</subject><subject>Potassium Channels - metabolism</subject><subject>Protein Binding</subject><issn>0006-3495</issn><issn>1542-0086</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kU1v1DAQhi1ERZfCL0BCEQc4ZevxV5wDSGgpUKlVD5SzlTiTrldZO9jJSvvvcbVbPnroyZL9zOuZeQh5A3QJktXnrQvjep82S6B6CVxVDJ6RBUjBSkq1ek4WlFJVclHLU_IypQ2lwCSFF-QUtGKguV6QL9ehw8H5u-LH3M7eTcUqhBFjM7mdm_aF88XNiP4eCH1xi1NsthidLS6DL1brxnsc0ity0jdDwtfH84z8_Hpxu_peXt18u1x9viqtBDWVXEGvObQIrZQ9tl1POSioKJNa04p3fac01MzWTCsr6paDFdCh6BhXTNT8jHw65I5zu8XOos_tDGaMbtvEvQmNM_-_eLc2d2FnmBSVECwHfDgGxPBrxjSZrUsWh6HxGOZktBICKilUJt8_Sapa1lzpKoPvHoGbMEef12AYSJUhQTPED5CNIaWI_Z-egZp7meZBZr7Q5iAzV739d9y_NUd7Gfh4ALID3DmMJlmH3mLnItrJdME9-cFvEwmxcQ</recordid><startdate>20081001</startdate><enddate>20081001</enddate><creator>Nekouzadeh, Ali</creator><creator>Silva, Jonathan R.</creator><creator>Rudy, Yoram</creator><general>Elsevier Inc</general><general>Biophysical Society</general><general>The 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>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>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>PRINS</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope><scope>7TB</scope><scope>7U5</scope><scope>L7M</scope><scope>5PM</scope></search><sort><creationdate>20081001</creationdate><title>Modeling Subunit Cooperativity in Opening of Tetrameric Ion Channels</title><author>Nekouzadeh, Ali ; Silva, Jonathan R. ; Rudy, Yoram</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c516t-361f831be1b55febdf03161702588073dfd68192c9286c49b31c41de4d2362493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Allosteric Regulation</topic><topic>Biophysics</topic><topic>Channels</topic><topic>Computation</topic><topic>Electrophysiology</topic><topic>Equivalence</topic><topic>Flux</topic><topic>Gating and risering</topic><topic>Ion Channel Gating</topic><topic>Ion channels</topic><topic>Ions</topic><topic>Markov analysis</topic><topic>Markov Chains</topic><topic>Markov models</topic><topic>Models, Biological</topic><topic>Molecular structure</topic><topic>Potassium</topic><topic>Potassium Channels - chemistry</topic><topic>Potassium Channels - metabolism</topic><topic>Protein Binding</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nekouzadeh, Ali</creatorcontrib><creatorcontrib>Silva, Jonathan R.</creatorcontrib><creatorcontrib>Rudy, Yoram</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)</collection><collection>ProQuest One Sustainability</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>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</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>Biological Sciences</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest research library</collection><collection>ProQuest Science Journals</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>ProQuest advanced technologies & aerospace journals</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 China</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Advanced Technologies Database with Aerospace</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>Nekouzadeh, Ali</au><au>Silva, Jonathan R.</au><au>Rudy, Yoram</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling Subunit Cooperativity in Opening of Tetrameric Ion Channels</atitle><jtitle>Biophysical journal</jtitle><addtitle>Biophys J</addtitle><date>2008-10-01</date><risdate>2008</risdate><volume>95</volume><issue>7</issue><spage>3510</spage><epage>3520</epage><pages>3510-3520</pages><issn>0006-3495</issn><eissn>1542-0086</eissn><abstract>Most potassium channels are tetramers of four homologous polypeptides (subunits). During channel gating, each subunit undergoes several conformational changes independent of the state of other subunits before reaching a permissive state, from which the channel can open. However, transition from the permissive states to the open state involves a concerted movement of all subunits. This cooperative transition must be included in Markov models of channel gating. Previously, it was implemented by considering all possible combinations of four subunit states in a much larger expanded model of channel states (e.g., 27,405 channel states versus 64 subunit states), which complicates modeling and is computationally intense, especially when accurate modeling requires a large number of subunit states. To overcome these complexities and retain the tetrameric molecular structure, a modeling approach was developed to incorporate the cooperative transition directly from the subunit models. In this approach, the open state is separated from the subunit models and represented by the net flux between the open state and the permissive states. Dynamic variations of the probability of state residencies computed using this direct approach and the expanded model were identical. Implementation of the direct approach is simple and its computational time is orders-of-magnitude shorter than the equivalent expanded model.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>18621838</pmid><doi>10.1529/biophysj.108.136721</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Allosteric Regulation Biophysics Channels Computation Electrophysiology Equivalence Flux Gating and risering Ion Channel Gating Ion channels Ions Markov analysis Markov Chains Markov models Models, Biological Molecular structure Potassium Potassium Channels - chemistry Potassium Channels - metabolism Protein Binding |
title | Modeling Subunit Cooperativity in Opening of Tetrameric Ion Channels |
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