Structure-based simulations reveal concerted dynamics of GPCR activation
ABSTRACT G protein‐coupled receptors (GPCRs) are a vital class of proteins that transduce biological signals across the cell membrane. However, their allosteric activation mechanism is not fully understood; crystal structures of active and inactive receptors have been reported, but the functional pa...
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Veröffentlicht in: | Proteins, structure, function, and bioinformatics structure, function, and bioinformatics, 2014-10, Vol.82 (10), p.2538-2551 |
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description | ABSTRACT
G protein‐coupled receptors (GPCRs) are a vital class of proteins that transduce biological signals across the cell membrane. However, their allosteric activation mechanism is not fully understood; crystal structures of active and inactive receptors have been reported, but the functional pathway between these two states remains elusive. Here, we use structure‐based (Gō‐like) models to simulate activation of two GPCRs, rhodopsin and the β2 adrenergic receptor (β2AR). We used data‐derived reaction coordinates that capture the activation mechanism for both proteins, showing that activation proceeds through quantitatively different paths in the two systems. Both reaction coordinates are determined from the dominant concerted motions in the simulations so the technique is broadly applicable. There were two surprising results. First, the main structural changes in the simulations were distributed throughout the transmembrane bundle, and not localized to the obvious areas of interest, such as the intracellular portion of Helix 6. Second, the activation (and deactivation) paths were distinctly nonmonotonic, populating states that were not simply interpolations between the inactive and active structures. These transitions also suggest a functional explanation for β2AR's basal activity: it can proceed through a more broadly defined path during the observed transitions. Proteins 2014; 82:2538–2551. © 2014 Wiley Periodicals, Inc. |
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G protein‐coupled receptors (GPCRs) are a vital class of proteins that transduce biological signals across the cell membrane. However, their allosteric activation mechanism is not fully understood; crystal structures of active and inactive receptors have been reported, but the functional pathway between these two states remains elusive. Here, we use structure‐based (Gō‐like) models to simulate activation of two GPCRs, rhodopsin and the β2 adrenergic receptor (β2AR). We used data‐derived reaction coordinates that capture the activation mechanism for both proteins, showing that activation proceeds through quantitatively different paths in the two systems. Both reaction coordinates are determined from the dominant concerted motions in the simulations so the technique is broadly applicable. There were two surprising results. First, the main structural changes in the simulations were distributed throughout the transmembrane bundle, and not localized to the obvious areas of interest, such as the intracellular portion of Helix 6. Second, the activation (and deactivation) paths were distinctly nonmonotonic, populating states that were not simply interpolations between the inactive and active structures. These transitions also suggest a functional explanation for β2AR's basal activity: it can proceed through a more broadly defined path during the observed transitions. Proteins 2014; 82:2538–2551. © 2014 Wiley Periodicals, Inc.</description><identifier>ISSN: 0887-3585</identifier><identifier>EISSN: 1097-0134</identifier><identifier>DOI: 10.1002/prot.24617</identifier><identifier>PMID: 24889093</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Adrenergic beta-2 Receptor Agonists - chemistry ; Adrenergic beta-2 Receptor Agonists - metabolism ; Adrenergic beta-2 Receptor Agonists - pharmacology ; Adrenergic beta-Antagonists - chemistry ; Adrenergic beta-Antagonists - metabolism ; Adrenergic beta-Antagonists - pharmacology ; adrenergic receptor ; Allosteric Regulation - drug effects ; Amino Acid Sequence ; Animals ; Cattle ; Conserved Sequence ; Databases, Protein ; Drug Inverse Agonism ; G protein-coupled receptors ; Humans ; Ligands ; Lipid Bilayers - chemistry ; Lipid Bilayers - metabolism ; Models, Molecular ; Molecular Dynamics Simulation ; Principal Component Analysis ; Protein Conformation - drug effects ; Receptors, Adrenergic, beta-2 - chemistry ; Receptors, Adrenergic, beta-2 - genetics ; Receptors, Adrenergic, beta-2 - metabolism ; Recombinant Proteins - chemistry ; Recombinant Proteins - metabolism ; rhodopsin ; Rhodopsin - agonists ; Rhodopsin - chemistry ; Rhodopsin - metabolism ; signal transduction ; structural transitions</subject><ispartof>Proteins, structure, function, and bioinformatics, 2014-10, Vol.82 (10), p.2538-2551</ispartof><rights>2014 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5527-b70407ba668278b72267c1cd8cfd5d49c867b0013ad028257a20fa1c078f09ed3</citedby><cites>FETCH-LOGICAL-c5527-b70407ba668278b72267c1cd8cfd5d49c867b0013ad028257a20fa1c078f09ed3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fprot.24617$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fprot.24617$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24889093$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Leioatts, Nicholas</creatorcontrib><creatorcontrib>Suresh, Pooja</creatorcontrib><creatorcontrib>Romo, Tod D.</creatorcontrib><creatorcontrib>Grossfield, Alan</creatorcontrib><title>Structure-based simulations reveal concerted dynamics of GPCR activation</title><title>Proteins, structure, function, and bioinformatics</title><addtitle>Proteins</addtitle><description>ABSTRACT
G protein‐coupled receptors (GPCRs) are a vital class of proteins that transduce biological signals across the cell membrane. However, their allosteric activation mechanism is not fully understood; crystal structures of active and inactive receptors have been reported, but the functional pathway between these two states remains elusive. Here, we use structure‐based (Gō‐like) models to simulate activation of two GPCRs, rhodopsin and the β2 adrenergic receptor (β2AR). We used data‐derived reaction coordinates that capture the activation mechanism for both proteins, showing that activation proceeds through quantitatively different paths in the two systems. Both reaction coordinates are determined from the dominant concerted motions in the simulations so the technique is broadly applicable. There were two surprising results. First, the main structural changes in the simulations were distributed throughout the transmembrane bundle, and not localized to the obvious areas of interest, such as the intracellular portion of Helix 6. Second, the activation (and deactivation) paths were distinctly nonmonotonic, populating states that were not simply interpolations between the inactive and active structures. These transitions also suggest a functional explanation for β2AR's basal activity: it can proceed through a more broadly defined path during the observed transitions. Proteins 2014; 82:2538–2551. © 2014 Wiley Periodicals, Inc.</description><subject>Adrenergic beta-2 Receptor Agonists - chemistry</subject><subject>Adrenergic beta-2 Receptor Agonists - metabolism</subject><subject>Adrenergic beta-2 Receptor Agonists - pharmacology</subject><subject>Adrenergic beta-Antagonists - chemistry</subject><subject>Adrenergic beta-Antagonists - metabolism</subject><subject>Adrenergic beta-Antagonists - pharmacology</subject><subject>adrenergic receptor</subject><subject>Allosteric Regulation - drug effects</subject><subject>Amino Acid Sequence</subject><subject>Animals</subject><subject>Cattle</subject><subject>Conserved Sequence</subject><subject>Databases, Protein</subject><subject>Drug Inverse Agonism</subject><subject>G protein-coupled receptors</subject><subject>Humans</subject><subject>Ligands</subject><subject>Lipid Bilayers - chemistry</subject><subject>Lipid Bilayers - metabolism</subject><subject>Models, Molecular</subject><subject>Molecular Dynamics Simulation</subject><subject>Principal Component Analysis</subject><subject>Protein Conformation - drug effects</subject><subject>Receptors, Adrenergic, beta-2 - chemistry</subject><subject>Receptors, Adrenergic, beta-2 - genetics</subject><subject>Receptors, Adrenergic, beta-2 - metabolism</subject><subject>Recombinant Proteins - chemistry</subject><subject>Recombinant Proteins - metabolism</subject><subject>rhodopsin</subject><subject>Rhodopsin - agonists</subject><subject>Rhodopsin - chemistry</subject><subject>Rhodopsin - metabolism</subject><subject>signal transduction</subject><subject>structural transitions</subject><issn>0887-3585</issn><issn>1097-0134</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU1v1DAQhi0Eape2F34AisSlQkoZ2_FHLkjtAlukFV21RT1ajuNQlyTe2s7C_nuy3XZFOXCawzzz6B29CL3BcIIByIdl8OmEFByLF2iCoRQ5YFq8RBOQUuSUSbaPXsd4BwC8pHwP7ZNCyhJKOkHnVykMJg3B5pWOts6i64ZWJ-f7mAW7srrNjO-NDWlc1uted87EzDfZbDG9zLRJbvVAH6JXjW6jPXqcB-j7l8_X0_N8fjH7Oj2d54YxIvJKQAGi0pxLImQlCOHCYFNL09SsLkojuahgzK9rIJIwoQk0GhsQsoHS1vQAfdx6l0PV2drYPgXdqmVwnQ5r5bVTzze9u1U__EoVWAiKySg4fhQEfz_YmFTnorFtq3vrh6gwx5hTCiWM6Lt_0Ds_hH58T2HGGaNAy43w_ZYywccYbLMLg0FtClKbgtRDQSP89u_4O_SpkRHAW-CXa-36Pyq1uLy4fpLm2xsXk_29u9Hhp-KCCqZuvs0UucGL-dmnM7WgfwBQaqrj</recordid><startdate>201410</startdate><enddate>201410</enddate><creator>Leioatts, Nicholas</creator><creator>Suresh, Pooja</creator><creator>Romo, Tod D.</creator><creator>Grossfield, Alan</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</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>7QL</scope><scope>7QO</scope><scope>7QP</scope><scope>7QR</scope><scope>7TK</scope><scope>7TM</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>5PM</scope></search><sort><creationdate>201410</creationdate><title>Structure-based simulations reveal concerted dynamics of GPCR activation</title><author>Leioatts, Nicholas ; Suresh, Pooja ; Romo, Tod D. ; Grossfield, Alan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5527-b70407ba668278b72267c1cd8cfd5d49c867b0013ad028257a20fa1c078f09ed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adrenergic beta-2 Receptor Agonists - chemistry</topic><topic>Adrenergic beta-2 Receptor Agonists - metabolism</topic><topic>Adrenergic beta-2 Receptor Agonists - pharmacology</topic><topic>Adrenergic beta-Antagonists - chemistry</topic><topic>Adrenergic beta-Antagonists - metabolism</topic><topic>Adrenergic beta-Antagonists - pharmacology</topic><topic>adrenergic receptor</topic><topic>Allosteric Regulation - drug effects</topic><topic>Amino Acid Sequence</topic><topic>Animals</topic><topic>Cattle</topic><topic>Conserved Sequence</topic><topic>Databases, Protein</topic><topic>Drug Inverse Agonism</topic><topic>G protein-coupled receptors</topic><topic>Humans</topic><topic>Ligands</topic><topic>Lipid Bilayers - chemistry</topic><topic>Lipid Bilayers - metabolism</topic><topic>Models, Molecular</topic><topic>Molecular Dynamics Simulation</topic><topic>Principal Component Analysis</topic><topic>Protein Conformation - drug effects</topic><topic>Receptors, Adrenergic, beta-2 - chemistry</topic><topic>Receptors, Adrenergic, beta-2 - genetics</topic><topic>Receptors, Adrenergic, beta-2 - metabolism</topic><topic>Recombinant Proteins - chemistry</topic><topic>Recombinant Proteins - metabolism</topic><topic>rhodopsin</topic><topic>Rhodopsin - agonists</topic><topic>Rhodopsin - chemistry</topic><topic>Rhodopsin - metabolism</topic><topic>signal transduction</topic><topic>structural transitions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Leioatts, Nicholas</creatorcontrib><creatorcontrib>Suresh, Pooja</creatorcontrib><creatorcontrib>Romo, Tod D.</creatorcontrib><creatorcontrib>Grossfield, Alan</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Proteins, structure, function, and bioinformatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Leioatts, Nicholas</au><au>Suresh, Pooja</au><au>Romo, Tod D.</au><au>Grossfield, Alan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Structure-based simulations reveal concerted dynamics of GPCR activation</atitle><jtitle>Proteins, structure, function, and bioinformatics</jtitle><addtitle>Proteins</addtitle><date>2014-10</date><risdate>2014</risdate><volume>82</volume><issue>10</issue><spage>2538</spage><epage>2551</epage><pages>2538-2551</pages><issn>0887-3585</issn><eissn>1097-0134</eissn><abstract>ABSTRACT
G protein‐coupled receptors (GPCRs) are a vital class of proteins that transduce biological signals across the cell membrane. However, their allosteric activation mechanism is not fully understood; crystal structures of active and inactive receptors have been reported, but the functional pathway between these two states remains elusive. Here, we use structure‐based (Gō‐like) models to simulate activation of two GPCRs, rhodopsin and the β2 adrenergic receptor (β2AR). We used data‐derived reaction coordinates that capture the activation mechanism for both proteins, showing that activation proceeds through quantitatively different paths in the two systems. Both reaction coordinates are determined from the dominant concerted motions in the simulations so the technique is broadly applicable. There were two surprising results. First, the main structural changes in the simulations were distributed throughout the transmembrane bundle, and not localized to the obvious areas of interest, such as the intracellular portion of Helix 6. Second, the activation (and deactivation) paths were distinctly nonmonotonic, populating states that were not simply interpolations between the inactive and active structures. These transitions also suggest a functional explanation for β2AR's basal activity: it can proceed through a more broadly defined path during the observed transitions. Proteins 2014; 82:2538–2551. © 2014 Wiley Periodicals, Inc.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>24889093</pmid><doi>10.1002/prot.24617</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adrenergic beta-2 Receptor Agonists - chemistry Adrenergic beta-2 Receptor Agonists - metabolism Adrenergic beta-2 Receptor Agonists - pharmacology Adrenergic beta-Antagonists - chemistry Adrenergic beta-Antagonists - metabolism Adrenergic beta-Antagonists - pharmacology adrenergic receptor Allosteric Regulation - drug effects Amino Acid Sequence Animals Cattle Conserved Sequence Databases, Protein Drug Inverse Agonism G protein-coupled receptors Humans Ligands Lipid Bilayers - chemistry Lipid Bilayers - metabolism Models, Molecular Molecular Dynamics Simulation Principal Component Analysis Protein Conformation - drug effects Receptors, Adrenergic, beta-2 - chemistry Receptors, Adrenergic, beta-2 - genetics Receptors, Adrenergic, beta-2 - metabolism Recombinant Proteins - chemistry Recombinant Proteins - metabolism rhodopsin Rhodopsin - agonists Rhodopsin - chemistry Rhodopsin - metabolism signal transduction structural transitions |
title | Structure-based simulations reveal concerted dynamics of GPCR activation |
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